501 Employee Data jobs in Pakistan
Data Analysis & Machine Learning Expert
Posted 13 days ago
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Job Description
Bestow99 is a dynamic and forward-thinking company dedicated to empowering local talent through high-quality training programs while also offering professional services to both local and international companies. We are seeking a Data Analyst with 2 years of experience to join our E-Learning team in Gilgit.
Responsibilities :
- Analyze and interpret complex data sets to support decision-making.
- Collaborate with cross-functional teams to identify business opportunities.
- Prepare reports and visualizations to communicate findings to stakeholders.
- Ensure data accuracy and integrity by conducting regular audits.
- Proficiency in data analysis tools (e.g., Excel, SQL, Python).
- Strong analytical and problem-solving skills.
- Experience with data visualization software (e.g., Tableau, Power BI).
- Excellent communication and teamwork skills.
Data Engineer
Posted 3 days ago
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Job Description
You will be participating in exciting projects covering the end-to-end data lifecycle – from raw data integrations with primary and third-party systems, through advanced data modeling, to state-of-the-art data visualization and development of innovative data products.
You will have the opportunity to learn how to build and work with both batch and real-time data processing pipelines. You will work in a modern cloud-based data warehousing environment alongside a team of diverse, intense, and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance, and others – to enable them to be successful.
Your responsibilities
- Design, implement and support data warehousing;
- Raw data integrations with primary and third-party systems
- Data warehouse modeling for operational & application data layers
- Development in Amazon Redshift cluster
- SQL development as part of agile team workflow
- ETL design and implementation in Matillion ETL
- Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, etc.
- Design and implementation of data products enabling data-driven features or business solutions
- Building data dashboards and advanced visualizations in Sisense for data cloud teams (formerly Periscope Data) with a focus on UX, simplicity, and usability
- Working with other departments on data products – i.e. product & technology, marketing & growth, finance, core business, advertising, and others
- Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
- Evaluate and improve data quality by implementing test cases, alerts, and data quality safeguards
- Living the team values: Simpler. Better. Faster.
- Strong desire to learn
Required minimum experience (must)
- 1- 2 years experience in data processing, analysis, and problem-solving with large amounts of data;
- Good SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
- 1+ years of experience with one or more programming languages, especially Python
- Ability to communicate insights and findings to a non-technical audience
- Written and verbal proficiency in English
- Entrepreneurial spirit and ability to think creatively; highly-driven and self-motivated; strong curiosity and strive for continuous learning
- Top of class University technical degree such as computer science, engineering, math, physics.
Additional experience (strong plus)
- Experience working with customer-centric data at big data-scale, preferably in an online / e-commerce context
- Experience with modern big data ETL tools (e.g. Matillion)
- Experience with AWS data ecosystem (or other cloud providers)
- Track record in business intelligence solutions, building and scaling data warehouses, and data modeling
- Tagging, Tracking, and reporting with Google Analytics 360
- Knowledge of modern real-time data pipelines (e.g. serverless framework, lambda, kinesis, etc.)
- Experience with modern data visualization platforms such as Periscope, Looker, Tableau, Google Data Studio, etc.
- Linux, bash scripting, Javascript, HTML, XML
- Docker Containers and Kubernete
#LI-TM1
Data Analyst
Posted 3 days ago
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Job Description
nationalities
Job Title: Entry Level Data Analyst
Location: Lahore, Pakistan
A reputable data analysis company is seeking an Entry Level Data Analyst to join our team in Lahore. This is a full-time position with a starting salary of $900 per month. We welcome candidates from all nationalities to apply for this role.
As an Entry Level Data Analyst, you will be responsible for collecting, organizing and analyzing large sets of data to identify patterns and trends. You will work closely with our team of experienced analysts to help interpret the data and provide insights that will drive business decisions.
This role is ideal for someone who is passionate about data and eager to learn and grow in the field of data analysis. No prior experience is required for this position, but a strong analytical mindset and attention to detail are essential.
Responsibilities:
- Collecting, organizing and analyzing large sets of data
- Creating reports and visualizations to communicate findings
- Collaborating with team members to interpret data and provide insights
- Identifying patterns and trends within the data
- Utilizing various tools and techniques for data analysis
Requirements:
- Bachelor's degree in a related field (e.g. Computer Science, Mathematics or Statistics)
- Strong analytical skills with attention to detail
- Proficiency in Microsoft Excel or other similar software
- Basic understanding of statistical methods
- Ability to work independently as well as part of a team
- Excellent communication skills
We Offer:
- Competitive salary package with annual increments
- Opportunities for growth and development within the company
- Friendly and collaborative work environment
- Free visa sponsorship and ticket upon successful hiring
If you are a recent graduate or looking for an entry level position in the field of data analysis, we encourage you to apply for this exciting opportunity. Join our diverse team in Lahore and start your journey towards becoming a skilled Data Analyst!
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#J-18808-LjbffrData Scientist
Posted 3 days ago
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Cybologics Solutions is seeking a highly skilled and detail-oriented Data Scientist to join our Product & Technology team. You will be responsible for designing, developing, and deploying machine learning and deep learning models in production environments, with a strong focus on Python, PostgreSQL, and data-driven problem-solving . This role is ideal for someone who enjoys working with text and image data , building robust data pipelines, and bringing AI solutions to life on the cloud.
Job Title: Data Scientist
Location: Lahore (On-site)
Company: Cybologics Solutions
Department: Product & Technology
Experience Level: Mid-Senior
Job Type: Full-Time
About the RoleCybologics Solutions is seeking a highly skilled and detail-oriented Data Scientist to join our Product & Technology team. You will be responsible for designing, developing, and deploying machine learning and deep learning models in production environments, with a strong focus on Python, PostgreSQL, and data-driven problem-solving . This role is ideal for someone who enjoys working with text and image data , building robust data pipelines, and bringing AI solutions to life on the cloud.
Key Responsibilities- Design, develop, and deploy ML/DL models using Python and cloud platforms (AWS, GCP).
- Work extensively with text and image data for model training, evaluation, and deployment.
- Build scalable data pipelines and integrate models into production systems.
- Manage and optimize cloud-based ML workflows for performance and scalability.
- Collaborate with DevOps to configure and maintain production-ready environments .
- Perform data preprocessing, feature engineering, and visualization to support both development and business needs.
- Ensure reproducibility and versioning of experiments, datasets, and models.
- Collaborate with product teams using JIRA and Git for planning and delivery.
- Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related field.
- Proven expertise in Python, PostgreSQL, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch .
- Strong hands-on experience in training and deploying ML/DL models into production .
- Proficiency with AWS (S3, EC2, Lambda, SageMaker) and GCP (BigQuery, Colab, Vision AI) .
- Solid understanding of data wrangling, cleaning, and analysis .
- Excellent analytical, problem-solving, and communication skills.
- Experience with CI/CD pipelines and MLOps practices .
- Knowledge of Docker/Kubernetes for containerizing and scaling ML models.
- Familiarity with data privacy and compliance when handling sensitive data.
- Work on cutting-edge SaaS and AI products with real-world impact.
- Join a collaborative and innovation-driven environment .
- Opportunities for continuous learning and professional growth .
- Competitive salary and benefits package.
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
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ML Engineer (Onsite, Lahore, Remittance Salary) Associate Software Engineer - Data Science Artificial Intelligence & Machine Learning Engineer – AI-MLWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrData Engineer
Posted 3 days ago
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Job Title: Data Engineer
Job Title: Data Engineer
Location: Karachi, Lahore , Islamabad (Hybrid)
Experience: 5+ Years
Job Type: Full-Time
Job Overview
We are looking for a highly skilled and experienced Data Engineer with a strong foundation in Big Data, distributed computing, and cloud-based data solutions . This role demands a strong understanding of end-to-end Data pipelines, data modeling, and advanced data engineering practices across diverse data sources and environments. You will play a pivotal role in building, deploying, and optimizing data infrastructure and pipelines in a scalable cloud-based architecture.
Key Responsibilities
- Design, develop, and maintain large-scale Data pipelines using modern big data technologies and cloud-native tools.
- Build scalable and efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka.
- Work extensively with cloud platforms (preferably AWS) and services like EMR, Glue, Lambda, Athena, S3.
- Design and implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.
- Develop pipelines using DBT (Data Build Tool) and manage workflows with Apache Airflow or Step Functions.
- Write clean, maintainable, and efficient code using Python, PySpark, or Scala for data transformation and processing.
- Build and manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse.
- Implement CI/CD pipelines using Docker, Jenkins, and other DevOps tools.
- Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.
- Drive data quality, integrity, and consistency across systems.
- Participate in Agile/Scrum ceremonies and utilize JIRA for task management.
- Provide mentorship and technical guidance to junior team members.
- Contribute to continuous improvement by making recommendations to enhance data engineering processes and architecture.
- 5+ years of hands-on experience as a Data Engineer
- Deep knowledge of Big Data technologies – Hadoop, Spark, Hive, Kafka.
- Expertise in Python, PySpark and/or Scala.
- Proficient with data modeling, SQL scripting, and working with large-scale datasets.
- Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3).
- Hands-on with data orchestration tools like Apache Airflow or StepFunction.
- Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena.
- Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake (preferred).
- Exposure to tools like Informatica, AbInitio, Apache Iceberg is a plus.
- Knowledge of Docker, Jenkins, and other CI/CD tools.
- Strong problem-solving skills, initiative, and a continuous learning mindset.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- Experience with open table formats such as Apache Iceberg.
- Hands-on with AbInitio (GDE, Collect > IT) or Informatica tools.
- Knowledge of Agile methodology, working experience in JIRA.
- Self-driven, proactive, and a strong team player.
- Excellent communication and interpersonal skills.
- Passion for data and technology innovation.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
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#J-18808-LjbffrData Analyst
Posted 5 days ago
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Job Description
Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region’s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.
What You’ll Do
- Build and maintain dashboards and automated reports to track real-time business performance.
- Write intermediate to advanced SQL queries to analyze large datasets and uncover actionable trends.
- Monitor and report on key KPIs across verticals like Grocery and Food.
- Analyze conversion funnels, pricing impact, and reliability metrics to improve performance across Grocery and DineOut.
- Partner with category managers to identify operational bottlenecks and customer drop-offs, and provide data-backed recommendations.
- Support the growth of Careem Plus by analyzing subscriber behavior, churn, retention, and engagement metrics.
- Assist in designing and evaluating campaigns to drive adoption of Careem Plus across multiple verticals.
- Run A/B tests and promo experiments to optimize discounts and feature launches for both customer value and business ROI.
- Collaborate closely with marketing, product, and operations teams to answer day-to-day analytical questions and support strategic decisions.
What You’ll Need
- 2 years of experience in analytics roles within tech companies, startups, or other data-driven environments.
- Strong command of SQL, including window functions, joins, and data transformations on datasets.
- Hands-on experience with BI tools like Tableau, Sheets, or Power BI to create and manage dashboards.
- A structured and analytical mindset, with the ability to think critically and solve problems independently.
- Bonus: familiarity with Python (Pandas, NumPy) for analysis or workflow automation.
- Excellent communication skills and the confidence to share insights across both technical and non-technical teams.
What we’ll provide you
We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
- Work and learn from great minds by joining a community of inspiring colleagues.
- Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
- Explore new opportunities to learn and grow every day.
- Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
- Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
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Data Analyst
Posted 5 days ago
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Job Description
Sumato Solutions is a reliable software development company in the IT sector that delivers custom digital solutions to clients globally. Our key services are custom software development, mobile and web applications, UI/UX design, digital marketing, and staff augmentation. With a reputation for strong collaboration with international clients, we provide digital solutions globally.
We are looking for aData Analyst with hands-on experience in data analysis, data reporting, and data visualization. The most suitable candidate must be able to convert raw data into meaningful observations to facilitate data-informed decision-making in all departments.
Key Responsibilities- Collect and prepare data information through first and third-party libraries such as databases, APIs, CRM platforms, and third-party tools. Clean and validate datasets to ensure accuracy, consistency, and reliability.
- Analyze large sets of unstructured and structured data to identify patterns, correlations, anomalies, and market trends.
- Develop interactive dashboards, automated reports, and performance trackers with tools such as Power BI, Tableau, or Google Data Studio for real-time decision-making.
- Write efficient SQL statements to retrieve, filter, and summarize information within a relational database and facilitate ad-hoc queries and business user data requests.
- Monitor and track critical business metrics, including user activity, campaign performance, operational key performance indicators, and financial metrics. Provide intelligence to benefit product, sales, marketing, and finance teams.
- Automate processes and reporting scripts to reduce manual data entry, maximize speed for scalability.
- Keep documentation of data definitions, data sources, business rules, and analytics processes. Make sure that there is data privacy and security.
- Collaborate with stakeholders to understand their analytical needs, requirements, and provide the data in the form of solutions to match the business goals.
- Stay updated on the best practices in the industry, new tools, and technologies in data analytics.
- Able to suggest and make recommendations to ameliorate the current data process and infrastructure.
- Bachelor's degree inComputer Science, Data Science or Statistics, IT , or any other related field.
- 2 to 3 years of experience working in data analysis, reporting, or business intelligence at a professional level.
- Strong knowledge of handling and analyzing data throughSQL, Excel, and data visualization software such asPower BI, Tableau, and Google Data Studio .
- Understanding of scripting languages such asPython to help in the transformation and automation of data issues.
- Able to work with both structured and unstructured data, knowledge of validation and cleaning, and how to prepare datasets to analyse.
- Familiarity with data patterns and trends, and how to present to business stakeholders in a form they understand easily.
- Have critical thinking to focus on details with great analytical ability, and problem-solving skills to pinpoint problems in data and provide accurate reporting.
- Able to collaborate with multi-functional teams and cross-functional teams such as marketing, operations, product, and sales.
- Market Competitive Salary
- Weekend Off
- Paid Annual Leaves
- Personal Growth
- Work Anniversaries & Birthdays Celebrations
- Performance-Based Increment
Monday - Friday; 9:00 am to 6:00 pm
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Data Analyst
Posted 6 days ago
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Job Description
Extract and manipulate data to solve business problems.
• Respond to new requests for reports/data: understand business objectives and processes,review and refine requirements; communicate estimated hours and completion timeline.
• Extract data using similar business query interfaces;
• Extract data directly from the current database, data warehouses, or other data stores.
• Format data for business use in Excel, Access, or similar formats;
• Produce reports manually and through automated scripting; create and maintain script and macros used to automate reports; and
• Support application testing for enhancements or system upgrades; identify and effectively communicate data quality issues or data differences.
• Be concise and precise in written communication.
• Incorporate best practices in developing intuitive reports to share with a broad audience.
• Describe and document unique aspects or limitations of data to aid understanding.
• Develop in-depth knowledge of data associated with at least one line of business (LOB),and effectively support the data needs of that LOB
.• Demonstrate commitment to lifelong learning. Exemplify good teamwork.
• Proactively communicate with customers and team members; should be able to demonstrate business understanding
.• Provide excellent customer service by making realistic commitments and keeping them;
• Work productively on assigned tasks.
• Collaborate effectively with other team members.
• Demonstrate accountability to management and customers for hours spent on assigned tasks.
• Diligently strive to deliver value in the fewest possible hours.
Technical experience that involves querying and manipulating data to address business problems.
2 years’experience with data extraction, manipulation and presentation in usable format.
Position is on a team of Business Intelligence Specialists providing Reporting and Analysis to support operational and strategic business decisions for Claim Operations and will report to General Manager
.Bachelors/Masters degree (preferably in Information Systems or related field).
Information Technology and Services - Lahore, Pakistan
#J-18808-LjbffrData Analyst
Posted 6 days ago
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Job Description
Key Responsibilities:
Develop comprehensive operational, client, KPIs, and bid proposal reports and dashboards using Power BI and Excel.
Perform data extraction, cleaning, and transformation using SQL and Power Query.
Analyze large datasets to identify trends, patterns, and actionable insights.
Collaborate with various teams to gather requirements and ensure the accuracy and relevance of reports and analysis.
Manage the lifecycle of analytical projects, from data collection through to visualization and end-user adoption.
Continuously improve the reporting and analysis processes by implementing new data analysis techniques and technologies.
Ensure the integrity and confidentiality of all data.
Essential Skills and Qualifications:
Bachelor's degree in computer science, data science, statistics, economics, or a related field or Data Analysis certification.
0-2 years of experience specifically in data analysis / business intelligence. Projects will be required to evaluate the candidates.
Advanced proficiency in Microsoft Power BI, SQL, and Excel.
Strong analytical skills with the ability to analyze and visualize data, resulting in actionable insights.
Excellent problem-solving abilities and attention to detail.
Strong written and verbal communication skills, capable of presenting complex data to non-technical audiences.
Preferred Skills:
Experience in automating processes using VBA, Python or similar technologies.
Web Scraping
Translation and Localization - Rawalpindi, Pakistan
#J-18808-LjbffrData Analyst
Posted 7 days ago
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Job Description
What’s the Work Like?
We are a fast-growing SaaS company building cloud-based enterprise software used by over 15,000 businesses worldwide—including NASA, Amazon, 3M, and Disney. Data plays a central role in all areas of our organization—from operations and sales to customer success and HR.
As a Data Analyst, you will:
- Support multiple teams by providing meaningful data analysis and insights
- Use data to solve business challenges and answer key questions
- Contribute to strategic decision-making by uncovering patterns, trends, and opportunities
- Improve reporting, tracking, and performance metrics across business units
Key Responsibilities
- Data Analysis & Reporting: Collect, clean, and analyze data from various sources. Build dashboards and reports to track performance, KPIs, and trends.
- Business Insights: Work closely with different teams to understand their data needs and deliver actionable insights.
- Problem Solving: Translate business problems into analytical questions, identify relevant datasets, and deliver solutions based on data findings.
- Cross-functional Collaboration: Partner with stakeholders across departments to support data-driven decision-making.
- Data Visualization: Present insights in a clear, concise, and visually compelling way using tools like Excel, Google Sheets, or BI platforms.
- Process Improvement: Identify gaps or inefficiencies in current reporting and recommend improvements or automation strategies.
- Data Integration: Merge and prepare data from different systems to build unified and consistent analysis.
- Ad Hoc Analysis: Provide support on one-off or short-term projects and data needs as they arise.
Requirements
- 4+ years of experience in a data analysis or business intelligence role
- Strong proficiency in Excel or Google Sheets for advanced analysis
- Experience with dashboard tools (e.g., Power BI, Tableau, Google Data Studio)
- Understanding of business operations and financial metrics
- Ability to translate complex data into simple and impactful insights
- Strong attention to detail and a passion for accuracy and data quality
- Bachelor’s degree in Business, Finance, Computer Science, Data Analytics, or a related field
- Familiarity with tools like SQL, Python (basic level), or Google Analytics is a plus