13 Data Analysts jobs in Karachi

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

We are looking for Fresh talent who are able to work as Data Analyst, reporting process by performing all related tasks and solving issues as they come up during the shift.

Roles and Responsibilities:

• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Locate and define new process improvement opportunities.
• Extracting the data from multiple sources and refining the data to get business insights.
• Using power BI, MS excel and other tools to interpret results/finding from the data which can be used to take business decisions.
• Responsible for improving the efficiency of the workflow on the basis of the available data.

Requirements:

• Minimum qualification should be Bachelors of Engineering (B.E)
• Expertise in Power BI and MS Excel.
• Good communication and presentation skills.
• At least 2 years of Experience.
• Strong analytical skillswith the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing and presenting findings.

Job Type: Full-time

Pay: From Rs90,000.00 per month

Education:

• Bachelor's (Required)

Experience:

• Data Analyst: 2 years (Required)

Job Description

We are looking for a detail-oriented Data Analyst with strong expertise in Microsoft Excel and exceptional critical thinking skills. The ideal candidate will be responsible for analyzing large datasets, identifying trends, and providing actionable insights that support data-driven decisions across the organization.

Key Responsibilities

Collect, clean, and validate data from multiple internal and external sources.

Use Excel (Pivot Tables, Power Query, Power Pivot, advanced formulas, and dashboards) to analyze and visualize data.

Apply critical thinking to interpret data results, question assumptions, and identify meaningful insights.

Develop and maintain automated Excel reports and performance dashboards.

Collaborate with cross-functional teams (Finance, Marketing, Operations, and Management) to understand analytical needs.

Ensure accuracy, consistency, and data integrity in all reports and analyses.

Present findings through clear visualizations and concise summaries to support business decisions.

Continuously look for ways to improve data collection and reporting processes through analytical thinking and automation.

Required Skills & Qualifications

Bachelor's degree in Data Analytics, Business, Statistics, Economics, Computer Science, or a related field.

Advanced proficiency in Microsoft Excel, including Power Query, Power Pivot, Pivot Tables, conditional formatting, and dashboard creation.

Strong critical thinking, analytical reasoning, and problem-solving skills.

Ability to interpret complex data and turn it into clear, actionable recommendations.

Excellent attention to detail and data accuracy.

Good communication and presentation skills to explain data-driven insights.

Familiarity with SQL or BI tools (e.g., Power BI, Google Sheets, or Superset) is a plus.

Preferred Skills

Experience working with large and complex datasets.

Understanding of basic statistical methods and forecasting techniques.

Ability to automate recurring reports or connect Excel with data sources (APIs, databases).

Prior experience in business, financial, or operational data analysis.

Key Performance Indicators (KPIs)

Accuracy and reliability of reports and dashboards.

Timeliness in delivering data insights.

Improvement in reporting efficiency and automation.

Quality and depth of insights derived through critical thinking and analysis.

Job Type: Full-time

Pay: Rs45, Rs60,000.00 per month

Description

The incumbent will be responsible for processing and interpreting data, analyzing results and providing relevant insights that would guide strategic decisions and increase business efficiencies. He/she will work hand-in-hand with other departments to clean and analyze wide variety of data collected from the field and data in management systems.

• Ensure data structures are robust as per set standards and data analysis is free of error.
• Develop a workflow to move from raw data to fully processed data ready for analysis in Excel, or data software based on the team's theoretical/administrative requirements.
• Provide project/initiative specific recommendations based on results attained from data analysis.
• Work with a variety of data sets and conduct statistical analysis.
• Prepare technical and non-technical reports as and when required using data.

Required Skills

• Excellent analytical skills – should be able to manage all data related tasks including data entry, data cleaning, data analysis, and reporting.
• Strong, practical grasp over statistical methods. Some experience in predictive analytics would be a plus.
• Proficiency in Excel and Python/R, for data analysis with programming skills in SQL for database management (ETL workflow).
• Comfortable in multi-tasking and ability to work on a wide range of projects requiring collaboration across different teams.
• Excellent verbal and written communications skills and presentation skills to contribute to reports, and impact evaluation studies.
• Must be passionate, self-motivated, results driven, and able to work with minimum supervision.
• Must be curious and motivated to learn new skills.
• Strong interpersonal and time-management skills.
• Proficiency in Power BI, DAX and M-query and dashboard design.

Education

Bachelor's Degree in Business, Economics, Mathematics, Computer Science, or related field

Experience

2 - 3 years' experience in a similar role

Job Type: Full-time

Application Question(s):

• What is your Current Salary?
• What is your Expected Salary?
• Are you willing to negotiate?

Work Location: In person

About Teach the World Foundation:

Teach the World Foundation (TTWF) is a non-profit organization committed to eradicating illiteracy by leveraging digital technology to deliver quality education.

Key Responsibilities:

1. Dashboard Management

• Operate and maintain the Learning Dashboard, which merges backend data from TTWF and in-app platforms
• Support the implementation of predictive models for student progress, attendance, and learning risk levels.
• Generate weekly insight reports for internal teams to identify schools or students needing intervention.

2. App-Specific Analytics Monitoring

• Independently access and interpret metrics from in-app dashboards to assess real-time student engagement and learning trajectories.
• Reconcile in-app data with internal assessment and attendance records to validate learning trends.

3. School Health Index (SHI) Analytics

• Support the generation and refinement of the School Health Index (SHI), a dynamic bench-marking tool that compares school- and region-level performance.
• Help ensure SHI accuracy through validation with field data and stakeholder input.

4. Predictive Modeling & Advanced Analysis

• Analyze outputs from machine learning models built in collaboration between TTWF and MIT (using Python-based tools).
• Surface trends and generate flags for high-performing, at-risk, or stagnant learners and schools.
• Identify opportunities for content enhancement or field follow-up based on learning and engagement patterns.

5. Data Pipeline Development & Automation

• Manage and improve backend workflows including automated data scraping, cleaning, and structuring.
• Support or co-develop a centralized data warehouse to ensure seamless integration across learning, operational, and assessment datasets.

6. Cross-Departmental Collaboration

• Work cross-functionally to integrate findings into strategic decisions.
• Share insights and recommendations in a clear, visual, and non-technical format for diverse internal audiences.

7. Documentation & Reporting

• Document analytical processes, data flow diagrams, and methodologies for continuity and replication.
• Assist in the preparation of visual dashboards and insight summaries for external stakeholders and donors.

Requirements:

Required Qualification: Bachelor's degree in Data Science, Statistics, Computer Science, Quantitative Economics, or a related field; Master's degree preferred.

Years of Employment Experience:

• 1–2 years of relevant experience in analytics, preferably in education, nonprofit, or impact-driven sectors.

Travel or Location-Specific Requirements:

• Some travel to areas from head office

Preferred Experience, Background, or Skillset

Technical Skills

• Strong proficiency in Python for data extraction, modeling, and visualization (e.g., Pandas, Scikit-learn, Matplotlib).
• Experience with web scraping tools (e.g., BeautifulSoup, Selenium) and data integration from APIs or Google Sheets.
• Familiarity with data visualization platforms such as PowerBI, Tableau, or open-source dashboards (Streamlit/Dash).
• Understanding of machine learning model outputs, validation methods, and statistical testing.

Soft Skills

• Strong analytical thinking and ability to translate data into practical insights.
• Excellent organizational skills and attention to detail.
• Effective communicator with the ability to simplify technical findings for cross-functional teams.

Job Type: Full-time

Work Location: In person

We are seeking an experienced Senior Data Analyst with years of expertise in business intelligence, advanced analytics, and data visualization. The ideal candidate will be highly skilled in Tableau, Power BI, Python, and SQL (Snowflake), delivering data solutions that directly support strategic decision-making.

Key Responsibilities

• Design, develop, and maintain impactful dashboards and reports using Tableau and Power BI.
• Write and optimize complex SQL queries (Snowflake) for performance and scalability.
• Utilize Python for advanced analytics, automation, and data processing.
• Collaborate with cross-functional teams to understand requirements and deliver data-driven insights.
• Develop data models and ensure accuracy, validation, and consistency across BI solutions.
• Analyze large datasets, uncover trends, and provide recommendations to support business growth.
• Drive continuous improvement in BI and analytics platforms for a better user experience.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field.
• 8–10+ years of experience in data analytics, BI, and dashboard development.
• Strong expertise in SQL (Snowflake), with deep knowledge of query optimization and performance tuning.
• Proficiency in Tableau and Power BI for building complex, dynamic visualizations.
• Hands-on experience with Python for analytics and automation.
• Excellent analytical thinking, problem-solving, and communication skills.

Preferred Skills

• Experience with data modeling and ETL pipelines.
• Exposure to other cloud data warehouses (Redshift, BigQuery).
• Ability to work in a fast-paced, cross-functional environment.

Job Type: Full-time

Application Question(s):

• What are your current & gross salary expectations, and is it negotiable?
• If hired, what would be your notice period, and is there any possibility of an early joining date?
• Have you worked with international clientele and their projects? If so, can you share your experience?
• Why are you considering leaving your current role, or why did you leave your previous company?
• Please provide your email address for further communication:
• Which time slot do you prefer: 3:00 PM to 12:00 AM or 5:00 PM to 2:00 AM?

Work Location: In person

About the Role

We are seeking a Data Analyst to join our team at an exciting early-stage AI venture. This role is ideal for someone who is eager to learn, grow, and contribute in a startup environment where responsibilities are broad and impact is immediate. You will be responsible for collecting, cleaning, and analyzing data to support product development, client insights, and decision-making.

This is an opportunity to get in early with a startup that is going places — where your contributions will be visible and valued. While the initial salary will be modest, this role offers long-term growth, learning, and career progression.

Key Responsibilities

• Collect, structure, and validate data from multiple sources.
• Support data pipelines for analysis and reporting.
• Perform data cleaning, transformation, and visualization.
• Provide insights that guide product development and strategy.
• Work with technical teams to ensure data quality and consistency.
• Assist in preparing dashboards, reports, and presentations for stakeholders.
• Learn and adapt quickly in a fast-paced startup environment.

What We're Looking For

• Bachelor's degree in Computer Science, Statistics, Data Science, or a related field.
• Prior O/A Level education with strong English fluency (spoken and written).
• Strong analytical mindset with basic knowledge of Excel, SQL, Python, or BI tools.
• Ability to work independently, take initiative, and manage multiple tasks.
• Clear communication and the ability to collaborate in English with international stakeholders.
• Culturally aligned: candidates from an upper-middle-class background in Karachi with strong professionalism and polish are encouraged to apply.

Nice to Have

• Familiarity with data visualization tools (Power BI, Tableau, Google Data Studio).
• Exposure to data wrangling, scraping, or API-driven data collection.
• Previous experience or internship in a data-driven role.

Why Join Us?

• Be part of a startup journey from the ground up.
• Gain hands-on experience with AI-driven projects.
• Work closely with international founders and stakeholders.
• Opportunity for long-term growth as the company scales.

Job Type: Full-time

Ability to commute/relocate:

• Karachi: Reliably commute or planning to relocate before starting work (Preferred)

Education:

• Bachelor's (Preferred)

Language:

• English (Required)

Work Location: In person

We are in need of a self-motivated Data Analyst to join the central services team and help manage our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.

• Managing master data, including creation, updates, and deletion
• Provide quality assurance of imported data, working with business analysts if necessary
• Commissioning and decommissioning of data lists
• Processing confidential data and information according to guidelines
• Helping develop reports and analysis using tools such as, PowerBI, Google Data Studio, Google Sheets, Excel VBA
• Preparing ad-hoc reports for the management stating trends, patterns, and predictions using relevant data
• Managing and designing the reporting environment, including data sources, security, and metadata
• Supporting the databases in identifying and revising reporting requirements
• Supporting initiatives for data integrity and normalization
• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems
• Generating reports from single or multiple systems
• Troubleshooting the reporting database environment and reports
• Evaluating changes and updates to source production systems
• Training end-users on new reports and dashboards
• Providing technical expertise in data storage structures, data mining, and data cleansing
• Transform raw data into a structured format suitable for analysis.
• Conduct scenario building exercises to anticipate potential challenges and opportunities with respect to randomization goals.

• Bachelor's degree from an accredited university or college in computer science.
• Work experience as a data analyst or in a related field.
• Ability to work with stakeholders to assess potential risks.
• Strong mathematical skills to help collect, measure, organize and analyze data
• Knowledge of programming languages like Google scripting, SQL, Oracle, Python
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Experience in handling reporting packages like Business Objects, programming (Javascript, XML, or ETL frameworks), databases
• Ability to translate business requirements into non-technical, lay terms.
• High-level experience in methodologies and automations for managing large-scale databases.
• Demonstrated experience in handling large data sets and relational databases.
• Understanding of addressing and metadata standards.
• High-level written and verbal communication skills.

We are seeking a Junior Data Analyst (L2 Level, 2-3 Years Experience) to join our team. The ideal candidate will be responsible for analyzing, visualizing, and interpreting data to help drive business decisions. You will work closely with stakeholders to gather requirements, develop reports, and create interactive dashboards using BI tools like Power BI, or Looker. This role requires strong analytical skills, experience with SQL, and data modeling, and the ability to translate complex data into actionable insights.

DUTIES & RESPONSIBILITIES

• Collect, analyze, and interpret large datasets to provide actionable insights.
• Develop and maintain interactive dashboards and reports using BI tools (Power BI, Tableau, Looker,
• etc.).
• Write and optimize SQL queries for data extraction, transformation, and analysis.
• Work with stakeholders to define KPIs, metrics, and data visualization strategies.
• Perform data modeling, data cleansing, and validation to ensure accuracy and consistency.
• Support business teams with ad hoc data analysis and predictive analytics.
• Identify trends, anomalies, and business opportunities through data exploration and statistical analysis.
• Collaborate with engineering, product, and business teams to define data requirements and improve data
• infrastructure.
• Ensure data security, integrity, and compliance with company policies and regulations.

KNOWLEDGE & EXPERIENCE

Education:

• Bachelor's degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field.
• Equivalent work experience may be considered in lieu of a degree.

Experience:

• 2-3 years of experience in Data Analytics and Dashboard development.
• Proficiency in SQL for querying and data manipulation.
• Hands-on experience with BI tools (Power BI is a plus)
• Knowledge and understanding of MS Fabric (preferred but not mandatory)
• Knowledge of Python or R for data analysis and automation (preferred but not mandatory).
• Familiarity with Excel, Google Sheets, and advanced data visualization techniques

Credentials:

• Microsoft Azure certifications (preferred but not mandatory).

Knowledge and Skills:

• Strong knowledge of BI tools and data manipulation.
• Experience working with relational databases and NoSQL databases
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Excellent storytelling skills to convey data insights effectively
• Strong communication skills in English and teamwork skills for working in an agile environment.
• Understanding of Azure cloud computing and MS Fabric