209 Data Analyst jobs in Pakistan

Job Description:

We are seeking a skilled Data Analyst & Automation Specialist with strong foundations in Python, SQL, and data visualization tools. The ideal candidate will have hands-on experience with data manipulation, reporting automation, and a working understanding of data warehousing principles.

Key Responsibilities:

Perform data extraction, transformation, and analysis using Python (Pandas) and SQL (PostgreSQL).

Develop and maintain reports and dashboards using Power BI, with awareness of the Star Schema model.

Automate routine data tasks using Windows Task Scheduler and batch scripts.

Collaborate with cross-functional teams to deliver accurate and timely data insights.

Optimize and troubleshoot SQL queries and database performance as needed.

Required Skills:

Proficient in Python (especially Pandas) and data structures.

Strong SQL skills (PostgreSQL), ideally at a database administrator or advanced analyst level.

Experience with Power BI and understanding of Star Schema design.

Familiarity with automation tools like Windows Task Scheduler and writing batch files.

Good problem-solving and communication skills.

Job Location:
WEBDOC Head Office | Bahria Town Phase 7, Islamabad

Experience Required:
Minimum 2 Years

Employment Type:
 Full-Time | 9 AM - 5 PM

Data Analyst - Financial Analytics

Location: Karachi, Pakistan

Type: Full-time

About Dost

At Dost, we're not just another startup. We're a fintech revolutionizing how companies manage their financial processes with AI. Our platform automates invoices, delivery notes, and purchase orders, eliminating human errors and completely transforming accounts payable departments.

What makes us different: We're already the trusted partner of over 500 companies, and we're evolving our value proposition to "help CFOs optimize their cash flow cycle" through advanced financial analytics.

The Opportunity

Ready to turn millions of pages of financial data into actionable insights? We're looking for a Data Analyst who will help us build the analytical brain of our platform, working with 3+ million pages of finance domain data to create meaningful analytics for our customers.

This isn't just number crunching - you'll be building the foundation for financial analytics that help CFOs make better decisions about their cash flow cycles. You'll work directly with our CTO and AI team to transform raw financial data into beautiful, insightful dashboards and predictive models.

This role is perfect if you:

• Love diving deep into messy data and making sense of it
• Want to work at the intersection of data science and product development
• Are excited about building analytics features that directly impact customer success
• Thrive in technical environments with cutting-edge AI and ML applications

Your Day-to-Day

Data Analysis & Insights (40%)
:

• Analyze massive datasets of financial documents to extract meaningful patterns
• Clean, normalize, and structure complex financial data for analysis
• Develop forecasting models for cash flow optimization
• Create data-driven recommendations for product improvements

Analytics Product Development (35%)
:

• Work with CTO to design and implement customer-facing analytics dashboards
• Collaborate with Product Manager to define analytics requirements
• Transform technical analysis into user-friendly visualizations
• Build recommendation engines and trend analysis for customer insights

Cross-functional Collaboration (25%)
:

• Partner closely with AI team members on technical implementation
• Work with Product Manager to understand customer analytics needs
• Collaborate with CTO on UI/UX design for analytics features
• Provide insights to support sales and customer success teams

What We're Looking For

Essential:

• Technical background in Computer Science, AI, or Data Engineering
• Strong analytical skills with experience in data cleaning and normalization
• Experience with data visualization and creating meaningful dashboards
• Understanding of financial concepts and cash flow analysis
• Ability to work with large, complex datasets (millions of records)
• Self-motivated with continuous learning mindset

Technical Skills:

• Proficiency in data analysis tools and programming languages
• Experience with data visualization tools (understanding of tools like Mixpanel a plus)
• Basic understanding of machine learning and forecasting models
• SQL and database querying skills
• Experience with data cleaning and normalization techniques

Highly Preferred:

• Previous experience in fintech or financial services
• Background in data science or machine learning projects
• Experience building customer-facing analytics products
• Understanding of SaaS business metrics and KPIs
• Familiarity with modern data stack and cloud platforms

Mindset & Attitude:

• Technical curiosity with business acumen
• Ability to translate complex data into simple insights
• Strong problem-solving skills for messy, real-world data
• Collaborative approach working across technical and business teams
• Detail-oriented with focus on data accuracy and quality

Why Dost vs. Other Options

What you WON'T find here:

• Being stuck doing only basic reporting and dashboards
• Working in isolation without understanding business impact
• Limited access to interesting, complex datasets
• Rigid corporate processes that slow down innovation

What you WILL find:

• Direct impact on product features used by thousands of businesses
• Access to unique, large-scale financial datasets
• Direct collaboration with CTO and technical leadership
• Opportunity to build analytics products from the ground up
• Work at the cutting edge of AI-powered financial technology

What We Offer

• Competitive salary
• Direct reporting to CTO with growth opportunities
• Work with cutting-edge AI and financial technology
• Collaborative international team environment
• Opportunity to shape analytics strategy for scaling fintech
• Professional development in data science and product analytics

Growth & Development

• Potential to lead analytics team as company scales
• Exposure to enterprise-level financial analytics requirements
• Direct mentorship from CTO with strong technical background
• Opportunity to specialize in fintech data science
• Path to influence product strategy through data insights

Reporting & Team Structure

• Report directly to CTO
• Work closely with AI team
• Collaborate with Associate Product Manager on feature requirements
• Partner with Barcelona team on customer-facing analytics
• Interface with customer success for analytics feedback

About the Role

We are looking for a detail-oriented and data-driven Data Analyst to join our team. You will be responsible for analyzing business, marketing, and operational data to provide actionable insights that drive growth, improve efficiency, and optimize campaigns. This role requires strong analytical skills, attention to detail, and the ability to translate data into clear recommendations.

Key Responsibilities

• Analyze website booking data, including customer location (city, region, country) and purchasing trends since 2018.
• Identify patterns in booking behavior at specific times to improve conversion rates.
• Provide insights for Google & Meta Ads campaigns, maintaining main keywords while testing new campaign structures.
• Monitor and report on emerging markets and growing travel segments.
• Deliver monthly detailed reports covering:
• Performance of each ad campaign
• Social media posts and hashtags' effectiveness
• Best posting times and their impact on engagement
• Sales and booking growth linked to marketing efforts
• Track team efficiency and operational metrics, e.g., the average time for itinerary creation and areas for improvement.

Requirements

• Proven experience as a Data Analyst or in a similar analytical role.
• Strong skills in Excel/Google Sheets and data visualization tools.
• Familiarity with Google Ads and social media analytics.
• Knowledge of advanced analytics tools (e.g., Python, SQL, Power BI, Tableau).
• Ability to interpret large datasets and present insights clearly.
• Strong attention to detail and problem-solving mindset.
• Good communication skills in English.

Nice to Have

• Experience in the travel or hospitality industry.
• Experience with marketing data and conversion optimization.

What We Offer

• Flexible working arrangement (part-time or full-time)
• Immediate start date
• Competitive fixed monthly compensation (USD 1,000 for full-time equivalent)
• Remote work flexibility
• Opportunity to work with an international team in the luxury travel industry

How to Apply:

Please send your CV to

Job Title: Data Analyst – Full Time Position

Location: DHA Phase 8, Karachi

Company: Tens Sourcing

We are seeking a talented and detail-oriented Data Analyst to join our team and help us make data-driven decisions to achieve our business goals.

Position Overview: As a Data Analyst at Tens Sourcing, you will play a crucial role in collecting, analysing, and interpreting data to drive actionable insights that inform our strategic decisions. You will collaborate with cross-functional teams to develop reports, dashboards, and visualizations that facilitate data-driven decision-making and support our growth initiatives.

Key Responsibilities:

• Collect, clean, and preprocess data from various sources, ensuring data accuracy and integrity.
• Analyse and interpret complex datasets to identify trends, patterns, and insights.
• Develop and maintain data models and statistical analyses to extract meaningful information.
• Create and present reports, dashboards, and data visualizations to communicate findings to stakeholders.
• Define data requirements and provide data-driven solutions.
• Assist in designing and implementing data collection tools and strategies.
• Conduct ad-hoc analysis to address specific business questions and challenges.
• Stay updated on industry best practices and emerging trends in data analysis

Qualifications:

• Bachelor's degree
• Proven experience as a Data Analyst or related role
• Proficiency in Microsoft Office & Power BI
• Strong data visualization skills
• Experience with statistical analysis
• Knowledge of data warehousing and database management systems
• Excellent problem-solving and critical-thinking abilities
• Strong communication and presentation skills to convey complex data findings to non-technical stakeholders
• Attention to detail and a commitment to data accuracy
• Ability to work both independently and collaboratively in a team environment

Job Type: Full-time

Work Location: In person

The expert is responsible for turning data into information, information into insight, and insight into business decisions. They will interpret data and analyze results using statistical techniques to provide ongoing reports. The expert will lead on the development of reports and dashboards for the MoPASS M&E system.

Key Tasks:

• Collect and interpret data from various sources.
• Analyze results using statistical techniques and provide reports.
• Develop and implement databases and data collection systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Work closely with management to prioritize business and information needs.
• Scope and define requirements for reports and dashboards with clients
• Implement and test reports and dashboards

Qualifications:

• Education/Training : - Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or related field.
• Language: - English and Urdu at C1 level or above
• General Professional Experience :
• 5 years knowledge of and experience with reporting packages, databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks). (4 points)
• 5 years of knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.). (3 points)
• 5 years experience of collecting, organizing, analyzing, and disseminating significant amounts of information with attention to detail and accuracy (3 points)
• Specific Professional Experience:
• 3 years of working experience as a data analyst or business data analyst. (4 points)
• 2 years of technical expertise regarding data models, database design development, data mining, and segmentation techniques. (4 points)
• 1 year of experience in data analysis and visualization tools, such as Tableau, Power BI, etc. (2 points)
• Leadership/Management Experience: - Not applicable
• International professional experience outside the country/region of assignment : 1 years Experience working internationally
• Professional experience in the country/region of assignment :
• 2 years of experience working in Pakistan
• Development cooperation experience: 1 year experience working with development cooperation partners.

Job Type: Full-time

Work Location: In person

About Us

We are a fast-growing e-commerce company with a strong presence on leading platforms including Amazon and Google. Our business thrives on data-driven decision-making, from managing high-volume online sales to ensuring efficient inventory control. We are expanding our team and looking for a Data Analyst who can transform data into actionable insights that fuel growth, manage risk, and maximize profitability.

Key Responsibilities

• Collect, clean, and analyze sales, advertising, and inventory data from Amazon, Google, and internal systems.
• Build and maintain dashboards and reports to track key performance indicators (sales, ad spend, ROAS, inventory levels, returns, etc.).
• Analyze growth data and risk data to identify opportunities, challenges, and the right actions to take.
• Conduct market and trend analysis to support strategic decision-making.
• Recommend data-driven actions that drive growth and minimize business risks.
• Partner with operations and marketing teams to forecast demand, improve campaign efficiency, and manage stock levels.
• Ensure data accuracy across platforms and resolve discrepancies promptly.

Requirements

• Bachelor's degree in Data Science, Statistics, Business, or a related field.
• Proven experience as a Data Analyst (preferably in e-commerce, Amazon/Google Ads, or inventory management).
• Strong skills in SQL, Excel, and data visualization tools such as Power BI, Tableau, or Google Data Studio.
• Solid understanding of e-commerce metrics, inventory management processes, and digital advertising performance.
• Ability to evaluate growth opportunities, assess risks, and provide actionable recommendations.
• Excellent analytical thinking, problem-solving, and communication skills.

What We Offer

• Opportunity to work in a fast-growing, innovative e-commerce environment.
• Exposure to international markets and cutting-edge digital platforms.
• Collaborative and supportive team culture.
• Competitive salary package with growth potential.

Job Type: Full-time

Pay: Rs95, Rs150,000.00 per month

Application Question(s):

• The candidate should have strong experience in advanced Excel formulas, array formulas, lookup functions, data validation, and conditional formatting, among other related skills.

Education:

• Bachelor's (Preferred)

Experience:

• Statistical Analysis: 3 years (Required)
• Profitability Analysis: 3 years (Required)
• Cost Analysis: 3 years (Required)
• Financial Metrics: 5 years (Required)
• Demand Forecasting: 5 years (Preferred)
• Cost Management: 3 years (Preferred)
• Excel for: 7 years (Preferred)
• Power BI: 3 years (Preferred)
• Tableau: 3 years (Preferred)
• Google Data Studio: 3 years (Preferred)

Language:

• English (Preferred)

Work Location: In person

We are looking for a sharp and analytical Data Analyst to join our team in Islamabad. In this role, you will be the bridge between raw data and actionable business strategy. You will be responsible for analyzing user behavior, tracking digital performance, and providing the insights needed to optimize our online presence and drive growth. Your expertise in web analytics will be crucial to our success.

Key Responsibilities

• Extract, clean, and transform data from various sources, including SQL databases, Google Analytics, and other digital marketing platforms.
• Perform in-depth analysis of user behavior, customer journeys, and conversion funnels to identify trends, opportunities, and areas for improvement.
• Develop, maintain, and automate interactive dashboards and reports in tools like Tableau, Power BI, or Looker Studio to provide stakeholders with real-time insights.
• Manage, configure, and analyze data in Google Analytics 4 (GA4) to track website performance, marketing campaign effectiveness, and user engagement.
• Write efficient and complex SQL queries to manipulate and analyze large datasets for deeper analysis.
• Collaborate with the Marketing, Product, and Sales teams to define digital KPIs, track performance, and provide data-driven recommendations for optimization.
• Present findings and strategic recommendations clearly and effectively to both technical and non-technical audiences.
• Support A/B testing and other experimentation initiatives by providing the analytical framework and measuring results.

What We're Looking For (Qualifications & Skills)

Required:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Marketing, or a related quantitative field.
• 1-3 years of proven experience in a data analyst or digital analytics role.
• Strong proficiency in SQL is a must.
• Hands-on experience with Google Analytics (GA4) is essential, including configuration, event tracking, and report generation.
• Experience with at least one data visualization tool such as Tableau, Power BI, or Looker Studio.
• Solid analytical and problem-solving skills with a keen attention to detail.
• Proficiency in Microsoft Excel/Google Sheets for data analysis.
• Excellent verbal and written communication skills in English.

Preferred (Nice-to-Haves):

• Google Analytics Certification.
• Programming experience for data analysis with Python (especially Pandas, NumPy) or R.
• Experience with other digital marketing platforms (e.g., Google Ads, Facebook Pixel, Google Search Console).
• Understanding of basic statistical concepts (e.g., regression, hypothesis testing).
• Prior experience in the (Your Industry, e.g., E-commerce, Digital Marketing) sector.

Why Join Us?

• Competitive Salary: An attractive compensation package commensurate with experience.
• Provident Fund & Health Insurance: Comprehensive benefits including Provident Fund and health/medical coverage for you and your family.
• Career Growth: A clear career path with ample opportunities for professional development and skill enhancement.
• Work Environment: A modern, professional, and collaborative office environment in a prime location in Islamabad.
• Learning Culture: We encourage continuous learning and often sponsor certifications and training programs.
• Team Activities: Regular team lunches, company events, and a vibrant office culture.

Key Changes & Why They Work:

• Role Description: Now emphasizes analyzing user behavior and digital performance, making the Google Analytics requirement contextually relevant.
• Key Responsibilities: Added a dedicated bullet point for Google Analytics 4 (GA4), specifying tasks like configuration and event tracking, which is highly sought-after.
• Qualifications: Listed "Hands-on experience with Google Analytics (GA4) is essential" as a required skill. Also added "Google Analytics Certification" as a preferred qualification, which will attract more qualified candidates.
• Industry Suggestion: Changed the example industries to E-commerce, SaaS, and Digital Marketing, where Google Analytics is most critical, helping you attract candidates with the right background.

Job Type: Full-time

Work Location: In person

Join our team and use your data skills to protect against cyber threats.

We're hiring a Data Analyst to be a key player in our fraud detection and cybersecurity efforts.

The Role:

• Analyze large datasets to detect fraud patterns & anomalies.
• Build ML models and algorithms for our anti-fraud solutions.
• Collaborate with cybersecurity and development teams.
• Create dashboards and reports in Tableau/Power BI.
• Drive improvements through data-driven insights.

We're Looking For:

• Experience in Data Analysis (fraud/cybersecurity is a plus).
• Skills in: Python | R | SQL (SAS is a bonus).
• Knowledge of stats, predictive modeling, and ML.
• Experience with visualization tools (Tableau, Power BI).
• Strong problem-solving and communication skills

Great Benefits:

• Competitive Salary + Medical Allowance
• Professional Training
• Team Activities (Cricket, Dinners & more)
• Hybrid Work Model

Job Type: Full-time

Pay: Rs150, Rs200,000.00 per month

Work Location: In person

Company Description

We suggest you enter details here.

Role Description

This is a full-time on-site role for a Data Analyst, located in Peshawar. The Data Analyst will be responsible for analyzing data, developing data models, interpreting data trends, and using statistical techniques to provide insights and support decision making. Responsibilities also include preparing reports, presenting findings, and collaborating with various teams to enhance operational efficiency and strategy.

Qualifications

• Strong Analytical Skills and expertise in Data Analytics
• Proficiency in Statistics and Data Modeling
• Excellent Communication skills
• Experience with data visualization tools such as Tableau or Power BI
• Proficiency in SQL, Excel, and other data analysis tools
• Attention to detail and problem-solving skills
• Ability to work independently and take initiatives
• Bachelor's degree in Statistics, Mathematics, Computer Science, or related field