807 Software Maintenance jobs in Pakistan

We are looking to hire Application Support Analysts (L2), with exceptional communication skills - both verbal and written. The individual will be responsible for providing technical telephone applications support to our customers. This will involve answering complex questions on the function and usage of our products, troubleshooting, and resolving issues with the software, and making the necessary configuration changes to ensure products continue to meet our customers' needs.

Application Support Analyst (Accounting) page is loadedApplication Support Analyst (Accounting) Apply locations PER - Karachi, PK time type Full time posted on Posted Today job requisition id R45261

About Contour

Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.

As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.

What started as an R&D & Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore & Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!

THE DIVISION
Constellation Home Builder Systems (CHS) is the leading software vendor exclusively focused on the homebuilding industry. It is North America's fastest growing and most successful provider of fully integrated construction information management solutions for homebuilders.
Our parent company is Constellation Software Inc. (CSI), a well-capitalized, publicly traded Canadian software company that specializes in vertical market software ( We offer the benefit of working with a medium sized company while enjoying the support and opportunity of being part of a large organization.

THE POSITION
We are looking to hire an Application Support Analyst, with good Accounting/Bookkeeping skills with exceptional verbal and written communication skills, successful candidate would work from the Contour-Karachi office.

RESPONSIBILITIES

• Act as the first line of communication with clients, thus focusing intently on customer satisfaction and relationship management

• Resolve user knowledge-caused issues and other configuration, troubleshooting and software installation issues.

• Meets all defined service levels for unresolved problems, re-assigns ticket to the appropriate internal/external team

• Attends and participates in Team meetings

• Attends CHS product training, as required

• Makes recommendations to address problems, improve service and provide improved support

• Develops frequently asked questions (FAQ) documentation

REQUIRED SKILLS

• University degree in Accounting or related fields

• Some Experience of working on software support would be an asset (preferably with international customers)

• Industry experience residential/commercial construction, property management, real estate management concepts/methodologies and general accounting practices

• Proficient in MS Windows applications

• Excellent communication skills with clients at all levels

• An aptitude for caring for Customers

• Must have the analytical ability to resolve customer issues

• Comfortable managing conflicting demands

• Excellent interpersonal skills (verbal and written)

• Positive team attitude and ability to adapt to a fast-pace environment

Work Timings :

• Willing to work weekends (If Needed)

• Monday to Friday 8 AM to 5 PM EST (5 PM to 2 AM Pakistan Standard Time)

Exciting Benefits we offer:

• Market-leading Salary

• Medical Coverage – Self & Dependents

• Parents Medical Coverage

• Provident Fund

• Employee Performance-based bonuses

• Home Internet Subsidy

• Conveyance Allowance

• Profit Sharing Plan (Tenured Employees Only)

• Life Benefit

• Child Care Facility

• Company Provided Lunch/Dinner

• Professional Development Budget

• Recreational area for in-house games

• Sporadic On-shore training opportunities

• Friendly work environment

• Leave Encashment

Disclaimer: At Contour, we attribute our success to the unique contributions of our diverse staff. We’re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we’ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.

In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.

As a subsidiary of CSI, Contour Software serves as a dedicated Global Centre, currently housing employees and teams for more than 150 Divisional and Corporate departments. Contour employees are key players in implementing, supporting, extending, enhancing, and renewing enterprise systems that run thousands of medium and large businesses, as well as public institutions, globally!

Join to apply for the Application Support Analyst (Accounting) role at Contour Software .

Contour Software has grown from a dozen people to over 2,000 staff across 3 cities in less than 14 years. As a subsidiary of Constellation Software Inc., we are part of a global enterprise software conglomerate, one of the top 10 software companies worldwide, serving over 100 countries with diverse enterprise solutions.

Our global offices in Karachi, Lahore, and Islamabad support CSI divisions worldwide, spanning from Sydney to Vancouver. We are part of Constellation Home Builder Systems (CHS), North America's leading homebuilding industry software vendor.

We seek an Application Support Analyst with strong accounting and bookkeeping skills, excellent communication, and customer service abilities, to work from our Karachi office.

• Act as the primary contact for clients, ensuring high customer satisfaction and relationship management.
• Resolve user issues related to configuration, troubleshooting, and software installation.
• Meet service levels for unresolved issues, reassign tickets as needed.
• Participate in team meetings and product training.
• Recommend improvements to support processes.
• Create FAQ documentation.

• Degree in Accounting or related field.
• Experience in software support, preferably with international clients.
• Knowledge of residential/commercial construction, property management, real estate, and accounting practices.
• Proficiency in MS Windows applications.
• Excellent communication and interpersonal skills.
• Customer-oriented with analytical problem-solving skills.
• Ability to manage conflicting demands and adapt quickly.

• Monday to Friday, 8 AM to 5 PM EST (5 PM to 2 AM PKT). Willing to work weekends if needed.

• Competitive salary, medical coverage, provident fund, bonuses, internet subsidy, conveyance allowance, profit sharing, life benefits, childcare, meals, professional development, recreational facilities, training opportunities, friendly environment, leave encashment.

We value diversity and are committed to an inclusive work environment. Reasonable accommodations are provided for individuals with special needs. Qualified candidates are encouraged to apply.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and Consulting

• Serve as the senior escalation point for the L1 Application Support team, ensuring timely resolution of high priority or escalated issues.
• Lead, mentor, and manage an L1 support team (minimum 5 staff), overseeing daily operations, scheduling shifts, and assigning case responsibilities.
• Oversee first-line support for complex data science applications, covering API integrations, model outputs, workflow errors, system configurations, and SQL-related issues.
• Own knowledge base development, ensuring consistent, accurate documentation and team training to minimize recurrence of known issues.
• Maintain SLA compliance across international time zones, ensuring structured escalations to L2/L3 engineering where required.
• Coordinate with global support teams to ensure 24/7 coverage; review handover across shifts and maintain continuity in support delivery.
• Monitor and report on support team performance metrics (e.g., ticket volume, resolution time, SLA breach rate); lead post-incident reviews and drive process improvements.
• Communicate with cross-functional stakeholders including clients, product, engineering, and operations to escalate issues, share trend insights, and manage client expectations.
  
  

• Bachelor’s or Master’s degree in Computer Science, IT, or related field.
• Minimum 7+ years of experience in application or technical support, with at least 2–3 years in a leadership role
• Proven experience with ticketing tools (e.g. JIRA, Zendesk), SQL, REST APIs, log analysis, and documentation.
• Strong communication skills, customer empathy, and ability to manage across regions and time zones.
• Familiarity with cloud environments (AWS, GCP, Azure) and scripting (e.g. Python, Bash) is a plus.
• Exposure to monitoring tools like Datadog, Airflow, Jupyter.
• ITIL certification or experience with ITSM processes.
• Experience working in AI/ML-intensive SaaS or data-heavy platforms.
  
  

Position Overview

We are looking for an experienced and proactive leader to spearhead our L1 Application Support division for AI/ML-enabled data science platforms catering to clients in the US and EU. In this strategic role, you will Lead and Manage the high-performing support team responsible for diagnostic sessions, log analysis, troubleshooting application and configuration-level issues, and ensuring disciplined issue documentation and customer communication. You will maintain SLA compliance, lead structured escalations to higher-level engineering teams, and drive continuous improvement through knowledge base development. The ideal candidate combines strong technical expertise, customer empathy, and disciplined problem management using internal tools. This leadership role includes hands-on operational oversight, global shift coordination, and regular performance reporting to ensure effective support delivery around the clock.

Responsibilities

Serve as the senior escalation point for the L1 Application Support team, ensuring timely resolution of high priority or escalated issues.

Lead, mentor, and manage an L1 support team (minimum 5 staff), overseeing daily operations, scheduling shifts, and assigning case responsibilities.

Oversee first-line support for complex data science applications, covering API integrations, model outputs, workflow errors, system configurations, and SQL-related issues.

Own knowledge base development, ensuring consistent, accurate documentation and team training to minimize recurrence of known issues.

Maintain SLA compliance across international time zones, ensuring structured escalations to L2/L3 engineering where required.

Coordinate with global support teams to ensure 24/7 coverage; review handover across shifts and maintain continuity in support delivery.

Monitor and report on support team performance metrics (e.g., ticket volume, resolution time, SLA breach rate); lead post-incident reviews and drive process improvements.

Communicate with cross-functional stakeholders including clients, product, engineering, and operations to escalate issues, share trend insights, and manage client expectations.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, IT, or related field.

Minimum 7+ years of experience in application or technical support, with at least 2–3 years in a leadership role

Proven experience with ticketing tools (e.g. JIRA, Zendesk), SQL, REST APIs, log analysis, and documentation.

Strong communication skills, customer empathy, and ability to manage across regions and time zones.

Familiarity with cloud environments (AWS, GCP, Azure) and scripting (e.g. Python, Bash) is a plus.

Exposure to monitoring tools like Datadog, Airflow, Jupyter.

ITIL certification or experience with ITSM processes.

Experience working in AI/ML-intensive SaaS or data-heavy platforms.

What We Have For You

Great compensation package, provident fund, paid leaves, EOBI, medical benefits for you and your family, free lunch, Annual performance-tied increments & performance recognition awards and a great lean and agile work culture!

Convo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing individuals!

• Act as the first point of contact for customers seeking technical assistance via phone, email, or chat across international time zones
• Deliver first-line support for complex data science applications, covering API integrations, model outputs, workflow issues, and system configurations.
• Organize and lead diagnostic sessions to gather logs, environment details, and reproducible error conditions.
• Use internal Knowledge Base (KBDB) to provide resolutions for known issues and support recurrence management.
• Create, manage, and update support tickets with detailed documentation of symptoms, diagnostics performed, and resolution steps.
• Maintain SLA compliance and perform structured escalation of unresolved, critical, or complex cases to L2 and L3 engineering teams.
• Coordinate across shifts and global teams to ensure continuity of support and closure of issues across time zones.
• Troubleshoot SQL-based issues, configurations, and data inconsistencies.
• Support onboarding and implementation activities, including product configuration, API certification, and environment validation.
• Document new or updated troubleshooting procedures and contribute to continuous improvement of support documentation.
• Monitor trends in issues to proactively raise patterns and feedback to product/engineering teams.
  
  

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field.
• 1–3 years of experience in L1 technical support or application support, preferably for SaaS, AI/ML, or data-heavy platforms.
• Strong SQL knowledge for database queries and data validation.
• Understanding of REST APIs, JSON payloads, and web service interaction patterns.
• Experience using ticketing and project management tools (e.g., JIRA, OTRS, Zendesk).
• Familiarity with log analysis, basic command-line tools, and remote troubleshooting procedures.
• Excellent verbal and written communication skills with strong follow-up and customer handling experience across geographies.
• Strong problem-solving skills with a customer-first mindset.
• Ability to work in a 24/7 rotational shift environment.
• Exposure to cloud environments (AWS, GCP, Azure) and scripting (e.g., Python, Bash) is a plus.
• Preferred (Nice to Have) Understanding of ML model outputs, pipeline errors, or data processing workflows.
• Familiarity with tools like Jupyter, Airflow, Datadog, or other monitoring/logging platforms.
• Ability to contribute to knowledge base development and continual improvement of support playbooks.
  
  

Position Overview

We are seeking a proactive and technically competent individual to join our team as an L1 Application Support Engineer. This role is critical in delivering first-line support for complex, AI/ML-enabled data science platforms serving clients across the US and EU markets. The candidate will operate in a shift-based support model and act as a key liaison between customers and engineering teams, ensuring timely resolution, detailed follow-ups, and structured escalation for technical issues.

You will manage diagnostic sessions, analyze log files, troubleshoot application and configuration-level issues, and ensure effective communication and documentation. Success in this role requires a strong technical mindset, customer empathy, and a disciplined approach to problem management using internal tools and knowledge bases.

Key Responsibilities

Act as the first point of contact for customers seeking technical assistance via phone, email, or chat across international time zones

Deliver first-line support for complex data science applications, covering API integrations, model outputs, workflow issues, and system configurations.

Organize and lead diagnostic sessions to gather logs, environment details, and reproducible error conditions.

Use internal Knowledge Base (KBDB) to provide resolutions for known issues and support recurrence management.

Create, manage, and update support tickets with detailed documentation of symptoms, diagnostics performed, and resolution steps.

Maintain SLA compliance and perform structured escalation of unresolved, critical, or complex cases to L2 and L3 engineering teams.

Coordinate across shifts and global teams to ensure continuity of support and closure of issues across time zones.

Troubleshoot SQL-based issues, configurations, and data inconsistencies.

Support onboarding and implementation activities, including product configuration, API certification, and environment validation.

Document new or updated troubleshooting procedures and contribute to continuous improvement of support documentation.

Monitor trends in issues to proactively raise patterns and feedback to product/engineering teams.

Required Skills & Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field.

1–3 years of experience in L1 technical support or application support, preferably for SaaS, AI/ML, or data-heavy platforms.

Strong SQL knowledge for database queries and data validation.

Understanding of REST APIs, JSON payloads, and web service interaction patterns.

Experience using ticketing and project management tools (e.g., JIRA, OTRS, Zendesk).

Familiarity with log analysis, basic command-line tools, and remote troubleshooting procedures.

Excellent verbal and written communication skills with strong follow-up and customer handling experience across geographies.

Strong problem-solving skills with a customer-first mindset.

Ability to work in a 24/7 rotational shift environment.

Exposure to cloud environments (AWS, GCP, Azure) and scripting (e.g., Python, Bash) is a plus.

Preferred (Nice to Have) Understanding of ML model outputs, pipeline errors, or data processing workflows.

Familiarity with tools like Jupyter, Airflow, Datadog, or other monitoring/logging platforms.

Ability to contribute to knowledge base development and continual improvement of support playbooks.

What We Have For You

Great compensation package, provident fund, paid leaves, EOBI, medical benefits for you and your family, free lunch, Annual performance-tied increments & performance recognition awards and a great lean and agile work culture!

Convo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing individuals!

Join to apply for the Software Engineer role at hashpotato .

Description

We’re looking for passionate Full Stack Developers who are eager to bring innovative web and mobile applications to life.

Responsibilities

• Develop and maintain web applications using JavaScript, HTML, CSS, and related technologies.
• Design, develop, and maintain database schema, queries, and related data management systems.
• Develop and maintain RESTful APIs for front-end to back-end communication.
• Collaborate with designers, developers, and product managers to ensure high-quality code and user experience.
• Troubleshoot and debug applications to ensure optimal performance and functionality.
• Write clean, maintainable, and reusable code.
• Stay up-to-date with emerging trends and technologies in web development.
• Participate in code reviews, testing, and deployment processes.

Requirements

• Experience in developing web and mobile applications using JavaScript-based technologies.
• Strong proficiency in front-end technologies such as React, and NextJS.
• Experience with back-end technologies such as Node.js, Express.js.
• Expertise in building mobile applications using React Native.
• Familiarity with SQL and NoSQL databases such as MySQL, MongoDB, or PostgreSQL.
• Experience with Git and version control systems.
• Excellent problem-solving skills and ability to work independently and as part of a team.
• Strong communication and interpersonal skills.
• Blockchain experience is a plus.

Perks and Benefits

• Market Competitive Salary
• Health Insurance
• Fuel Allowance
• Annual Increment
• Performance Based Bonuses

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting

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Information Technology and Services - Islamabad, Pakistan

perm_identity

• perm_identity Personalised advertising and content, advertising and content measurement, audience research and services development

• devices Store and/or access information on a device

Data preferences

You can choose how your personal data is used. Vendors want your permission to do the following:

Advertising presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type or which content you are (or have been) interacting with (for example, to limit the number of times an ad is presented to you).

Information about your activity on this service (such as forms you submit, content you look at) can be stored and combined with other information about you (for example, information from your previous activity on this service and other websites or apps) or similar users. This is then used to build or improve a profile about you (that might include possible interests and personal aspects). Your profile can be used (also later) to present advertising that appears more relevant based on your possible interests by this and other entities.

Advertising presented to you on this service can be based on your advertising profiles, which can reflect your activity on this service or other websites or apps (like the forms you submit, content you look at), possible interests and personal aspects.

Information about your activity on this service (for instance, forms you submit, non-advertising content you look at) can be stored and combined with other information about you (such as your previous activity on this service or other websites or apps) or similar users. This is then used to build or improve a profile about you (which might for example include possible interests and personal aspects). Your profile can be used (also later) to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests.

Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services (for instance, the forms you submit, content you look at), possible interests and personal aspects. This can for example be used to adapt the order in which content is shown to you, so that it is even easier for you to find (non-advertising) content that matches your interests.

Information regarding which advertising is presented to you and how you interact with it can be used to determine how well an advert has worked for you or other users and whether the goals of the advertising were reached. For instance, whether you saw an ad, whether you clicked on it, whether it led you to buy a product or visit a website, etc. This is very helpful to understand the relevance of advertising campaigns.

Information regarding which content is presented to you and how you interact with it can be used to determine whether the (non-advertising) content e.g. reached its intended audience and matched your interests. For instance, whether you read an article, watch a video, listen to a podcast or look at a product description, how long you spent on this service and the web pages you visit etc. This is very helpful to understand the relevance of (non-advertising) content that is shown to you.

Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).

Information about your activity on this service, such as your interaction with ads or content, can be very helpful to improve products and services and to build new products and services based on user interactions, the type of audience, etc. This specific purpose does not include the development or improvement of user profiles and identifiers.

Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).

Your data can be used to monitor for and prevent unusual and possibly fraudulent activity (for example, regarding advertising, ad clicks by bots), and ensure systems and processes work properly and securely. It can also be used to correct any problems you, the publisher or the advertiser may encounter in the delivery of content and ads and in your interaction with them.

Certain information (like an IP address or device capabilities) is used to ensure the technical compatibility of the content or advertising, and to facilitate the transmission of the content or ad to your device.

Information about your activity on this service may be matched and combined with other information relating to you and originating from various sources (for instance your activity on a separate online service, your use of a loyalty card in-store, or your answers to a survey), in support of the purposes explained in this notice.

In support of the purposes explained in this notice, your device might be considered as likely linked to other devices that belong to you or your household (for instance because you are logged in to the same service on both your phone and your computer, or because you may use the same Internet connection on both devices).

With your acceptance, your precise location (within a radius of less than 500 metres) may be used in support of the purposes explained in this notice.

Vendors can use your data to provide services. Declining a vendor can stop them from using the data you shared.

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Privacy choices, Device characteristics, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, User-provided data, Browsing and interaction data, Privacy choices, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Device characteristics, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Device characteristics

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: Non-precise location data, Browsing and interaction data, Device characteristics

Data collected and processed: IP addresses, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Browsing and interaction data, Privacy choices, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Privacy choices, Device characteristics, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Device characteristics, Device identifiers

Data collected and processed: Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: Users’ profiles

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Privacy choices, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Privacy choices, Device characteristics

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device identifiers, Precise location data

Data collected and processed: Non-precise location data

Data collected and processed: IP addresses, Non-precise location data, User-provided data, Browsing and interaction data, Device characteristics, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Device characteristics

Data collected and processed: IP addresses, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Device characteristics, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers

Data collected and processed: Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: Device characteristics

Data collected and processed: IP addresses, Non-precise location data

Data collected and processed: IP addresses, Device characteristics

Data collected and processed: IP addresses, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: Device characteristics

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers

Data collected and processed: Device characteristics

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Privacy choices, Device characteristics, Device identifiers, Precise location data

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: IP addresses, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data

Data collected and processed: IP addresses, Users’ profiles, Browsing and interaction data, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, User-provided data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Privacy choices, Device identifiers

Data collected and processed: IP addresses, Browsing and interaction data, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Probabilistic identifiers, Device identifiers

Data collected and processed: IP addresses, Non-precise location data

Data collected and processed: IP addresses

Data collected and processed: IP addresses, Non-precise location data, Users’ profiles, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: IP addresses, Non-precise location data, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers, Authentication-derived identifiers

Data collected and processed: Device identifiers

Data collected and processed: IP addresses, Browsing and interaction data, Privacy choices, Device characteristics, Device identifiers

Data collected and processed: IP addresses, Privacy choices, Device characteristics

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Device characteristics, Probabilistic identifiers, Device identifiers, Precise location data, Authentication-derived identifiers