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data analytics analyst

foodpanda

<div>
 foodpanda is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 
 
 
 Job Description
 
 
 
 We are seeking a
 
 Marketing Data Analyst
 
 to be part of our mission to drive impactful decisions and incremental marketing value across our 16 markets. Working within our Marketing Analytics team, you'll support the team by providing high-quality insights, maintaining data consistency, conducting deep-dive analyses, evaluating A/B experiments, and providing strategic insights that drive decisions on key marketing levers from campaigns constructs to customer communications. This is a foundational role offering the opportunity to grow technical skills, gain exposure to high-impact projects, and learn from experienced data professionals who work on big problems at a global scale, leveraging the latest AI tools and analytical techniques.
 
 
 
 Key responsibilities:
 
 
 
 <ul>
 <li>
 Strategic Marketing Analysis: Utilize analytical methodologies ranging from Experimentation to Data modeling to Descriptive/Predictive/Prescriptive analytics in order to measure incremental impact and make actionable recommendations regarding marketing lever utilization, customer funnel, spend optimization, and tactical execution of marketing initiatives
 </li>
 <li>
 Data Modeling &amp; Measurement: Build and refine measurement frameworks and metric definitions for key marketing initiatives; Lead the development of SQL models to implement frameworks and transform massive datasets into actionable insights using tools like BigQuery (SQL), Excel, and dbt.
 </li>
 <li>
 Strategic Reporting &amp; Visualization: Build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents) that facilitate decision-making for business operators and leaders.
 </li>
 <li>
 Collaboration &amp; Stakeholder partnership: Collaborate with marketing partners to understand strategic objectives, recommend analytics solutions, and present insights effectively. Also, work closely with senior analysts and team leads, learning from their approach to data modeling, visualization, and storytelling.
 </li>
 <li>
 Data Quality &amp; Tracking: Monitoring data quality and participating in QA processes to ensure consistency across all reporting metrics.
 </li>
 <li>
 AI-Driven Analytics &amp; Automation: Evaluate and implement AI-powered solutions that transform how marketing analytics operates &mdash; including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), LLM-assisted insight generation, and prompt-engineered pipelines. Translate repeatable analyst workflows into scalable AI tools, and share knowledge across the team.
 
 
 </li>
 </ul>
 
 Find out more about our Data Analytics team here:
 
 
 
 <ul>
 <li>
 Turn insights into impact!
 </li>
 <li>
 Looking for a career in data analytics? This could be the opportunity for you!
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
 </li>
 <li>
 Overall 2-4 years of experience in data analytics. Experience supporting Marketing, Growth, Brand, or similar teams is an advantage.
 </li>
 <li>
 2+ years of proficiency in SQL and experience with at least one data visualization tool (e.g., Looker, Tableau).
 </li>
 <li>
 Strong communication skills, with an ability to present findings in a clear and concise way to various levels of business partners.
 </li>
 <li>
 A team-oriented mindset with a willingness to learn and take on new challenges.
 </li>
 <li>
 Solid background in statistical analysis, including A/B testing and data modeling is an advantage.
 </li>
 <li>
 Interest in AI solutions and their applications in analytics is an advantage.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 A dynamic and challenging work environment.
 </li>
 <li>
 A company committed to developing you personally and professionally.
 </li>
 <li>
 A great working atmosphere with regular company and team events.
 </li>
 <li>
 A vibrant and international team committed to diversity and inclusion.
 </li>
 <li>
 Responsibility from day one in a fast growing and global company.
 </li>
 <li>
 Other benefits include free food, health and dental insurance, and learning and development opportunities!
 
 
 </li>
 </ul>
 foodpanda is operated by Delivery Hero Group (&ldquo;DH Group&rdquo;) - the world&rsquo;s leading local delivery platform, operating in 70+ markets across Asia, Europe, Latin America, the Middle East, and Africa. Delivery Hero started as a food delivery service in 2011 and now employs 40,000+ people globally. Additionally, Delivery Hero is pioneering quick commerce, the next generation of e-commerce, aiming to bring groceries and household goods to customers in under one hour and often in 20 to 30 minutes. Headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017.
 
 
 In July 2024, Delivery Hero SE merged three of its market-leading food delivery businesses, foodora and Yemeksepeti in Europe, and foodpanda in Asia. All three businesses now make up the second-largest organization within the Delivery Hero Group, and leading food and QCommerce delivery in 16 markets in both regions.
</div>

Data Analyst (Marketing)

ACTIVE8 WIRELESS

Working Days: Monday to Friday (Five days)Shift Timings: 9 PM to 6 AM (Night Shift)Location: Onsite &ndash; RJ Mall, 5th Floor, KarachiWe are seeking a highly skilled and detail-oriented Data Analyst to join our expanding Business Intelligence team. In this role, you will be responsible for transforming raw data into actionable business insights through robust data modeling, advanced analytics, and dynamic visualizations. The ideal candidate possesses deep expertise across the entire Power BI ecosystem, strong SQL development capabilities, and a proven track record of designing reliable ETL workflows. You will collaborate closely with cross-functional business units to understand their data needs, optimize existing data pipelines, and deliver intuitive enterprise dashboards that drive strategic decision-making.Key Responsibilities1. Business Intelligence &amp; Dashboard Development<ul><li>Design, develop, and maintain high-performance enterprise dashboards and interactive reports using Power BI.</li><li>Write complex, optimized DAX (Data Analysis Expressions) queries and measures to fulfill intricate business logic and analytical requirements.</li><li>Utilize M query language within Power Query to execute advanced data ingestion, cleansing, transformation, and structural reshaping.</li><li>Implement and manage end-to-end cloud infrastructure components, including Power BI Services, workspaces, applications, and DataFlows for self-service BI capabilities.</li></ul>2. Data Modeling &amp; Integration<ul><li>Design and implement scalable, efficient, and well-structured Power BI Data Models utilizing industry- standard Star and Snowflake schemas.</li><li>Establish seamless data connectivity and gateway configurations across diverse cloud and on-premise transactional data sources.</li><li>Develop, schedule, and monitor robust ETL (Extract, Transform, Load) workflows to ensure seamless data integration, preferably leveraging SQL Server Integration Services (SSIS).</li></ul>3. Database Development &amp; Query Optimization<ul><li>Write, debug, and optimize complex T-SQL queries, stored procedures, views, and user-defined functions within SQL Server.</li><li>Analyze database query execution plans and index structures to tune performance, minimize latency, and guarantee efficient processing of massive datasets.</li><li>Ensure strict data integrity, consistency, and governance standards across all database environments and downstream analytical layers.</li></ul>4. Ad-Hoc Analysis &amp; Collaboration<ul><li>Conduct rapid, intermediate-level data analysis and structural validations using Microsoft Excel (VLOOKUP/XLOOKUP, Pivot Tables, logical formulas, and data formatting) to support ad-hoc business inquiries.</li><li>Collaborate closely with business analysts, functional stakeholders, and IT infrastructure teams to map requirements into technical data specifications.</li><li>Document data dictionaries, model architectures, metrics definitions, and ETL deployment procedures to maintain an organized corporate data catalog.</li></ul>Required Skills &amp; QualificationsTechnical Competencies:<ul><li>Power BI Mastery: Deep, hands-on experience in Power BI Desktop and Service. Advanced proficiency in writing complex DAX functions, engineering efficient M queries, and architecting robust enterprise Data Models.</li><li>Power BI Admin/Service: Proven experience working with Power BI DataFlows, shared datasets, scheduled refreshes, row-level security (RLS), and workspace administration.</li><li>SQL Server Proficiency: Strong command of SQL Server management. Expert-level capability in writing and optimizing complex queries, troubleshooting performance bottlenecks, and managing schema objects.</li><li>ETL &amp; Data Integration: Practical experience designing, building, and maintaining automated data pipelines. Strong preference for candidates with SSIS (SQL Server Integration Services) expertise.</li><li>Microsoft Excel: Solid intermediate-level skills, including advanced formulas, Pivot Tables, conditional logic, and data structuring capabilities.</li></ul>Preferred / Nice-to-Have Skills:<ul><li>Python Programming: Foundational to intermediate knowledge of Python (specifically libraries such as Pandas, NumPy, or script integrations within ETL/Power BI) to perform automated scripting or advanced statistical data analysis.</li><li>Power BI (DAX &amp; M) Power BI DataFlows Data Modeling SQL Server (T-SQL) SSIS</li><li>Excel (Intermediate) Python (Preferred)</li></ul>Education &amp; Experience Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Analytics, Information Systems, Statistics, Finance, or a closely related quantitative discipline.</li><li>Minimum of 06 months of professional experience working strictly in a Data Analyst, BI Developer, or Data Engineer capacity within a data-driven environment.</li><li>Certifications such as Microsoft Certified: Power BI Data Analyst Associate (PL-300) or equivalent database certifications are highly advantageous.</li></ul>Pay: Up to Rs60,000.00 per monthWork Location: In person

Data Analyst

Robust Support and Solutions

Robust Support &amp; Solutions is looking to hire &quot;Data Analyst&quot; for it's Karachi office.www.robustsns.comOffice Location: Fortune Tower, PECHS, BLOCK 6, KarachiWorking Hours: 10 AM to 7PM CST (8PM to 5AM Pakistan time), 6 days a weekKey Responsibilities: We are looking for a detail-oriented and data-driven professional to join our Reporting &amp; Analytics team. If you have a strong foundation in Python, Excel, and Power BI, and are passionate about transforming data into meaningful insights, this role is for you!Key Responsibilities:<ul><li>Develop, maintain, and optimize dashboards and reports in Power BI for various departments.</li><li>Automate repetitive data processing tasks using Python.</li><li>Perform advanced data analysis and modeling in Excel, including pivot tables, Power Query, and advanced formulas.</li><li>Collaborate with stakeholders to understand reporting requirements and deliver actionable insights.</li><li>Ensure data accuracy, integrity, and accessibility across all reports.</li></ul>Qualifications &amp; Requirements:<ul><li>Minimum 8 years of professional experience in; Python, MS Excel &amp; Power BI</li><li>Strong analytical and problem-solving skills.</li><li>Effective communication and presentation skills.</li><li>Ability to work independently and within a team.</li><li>Familiarity with SQL or database querying.</li><li>Experience with automation tools or APIs.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthApplication Question(s):<ul><li>Are you willing to do an ONSITE, night shift (8pm-5am, 6 days a week)?</li><li>Please share your current/ last drawn salary and your salary expectations for this role?</li><li>Do you have good command on MS Excel Microsoft Excel skills (VLOOKUP &amp; XLOOKUP, Pivot Table Reports, Sumifs, Countifs, Conditional Formating &amp; Index-Match) ??</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Reporting: 8 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Break Time Corner Market

Key Responsibilities<ul><li>Collect, clean, and validate data from various sources.</li><li>Analyze large datasets to identify trends, patterns, and insights.</li><li>Develop and maintain dashboards, reports, and performance metrics.</li><li>Prepare regular and ad-hoc analytical reports for management.</li><li>Monitor key business indicators and provide actionable recommendations.</li><li>Collaborate with departments to understand data requirements.</li><li>Ensure data accuracy, integrity, and confidentiality.</li><li>Support process improvement initiatives through data-driven insights.</li></ul>Requirements<ul><li>Qualification: Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.</li><li>Experience: 1&ndash;3 years of relevant experience in data analysis or reporting.</li><li>Proficiency in Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP, Power Query).</li><li>Working knowledge of SQL for data extraction and analysis.</li><li>Experience with Power BI, Tableau, or similar visualization tools.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to interpret data and present findings clearly to stakeholders.</li></ul>Preferred Skills<ul><li>Knowledge of Python or R for data analysis.</li><li>Experience with ERP systems and business intelligence tools.</li><li>Understanding of statistical analysis and forecasting techniques.</li></ul>Pay: Rs200,000.00 per monthWork Location: In person

Systems Limited

<div>
 
 
 Job Summary:
 
 
 
 We are seeking a detail-oriented and analytical Data Analyst to support data integration, reporting, and business intelligence initiatives. The ideal candidate will have strong expertise in SQL Server and Oracle databases, hands-on experience with T-SQL and PL/SQL development, and a solid understanding of query optimization techniques. The role involves working with ETL processes, CRM systems, and reporting tools to deliver accurate and actionable insights that support business decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop, maintain, and optimize SQL queries, stored procedures, functions, and database objects in SQL Server and Oracle environments.
 </li>
 <li>
 Analyze large datasets and provide meaningful insights to support business and operational objectives.
 </li>
 <li>
 Perform query tuning and database performance optimization to ensure efficient data processing.
 </li>
 <li>
 Design, develop, and maintain ETL processes using SSIS and KingswaySoft.
 </li>
 <li>
 Integrate, extract, and transform data from Microsoft Dynamics 365 CRM and other business applications.
 </li>
 <li>
 Create and maintain interactive dashboards, reports, and visualizations using Power BI.
 </li>
 <li>
 Develop, deploy, and support operational and analytical reports using SSRS.
 </li>
 <li>
 Ensure data quality, consistency, and integrity across multiple systems and databases.
 </li>
 <li>
 Collaborate with business stakeholders to gather reporting and analytics requirements.
 </li>
 <li>
 Troubleshoot data-related issues and provide timely resolutions.
 </li>
 <li>
 Document technical specifications, data models, and reporting processes.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field.
 </li>
 <li>
 Proven experience as a Data Analyst, Database Developer, BI Developer, or similar role.
 </li>
 <li>
 Strong knowledge of Microsoft SQL Server and Oracle databases.
 </li>
 <li>
 Hands-on experience with T-SQL and PL/SQL programming.
 </li>
 <li>
 Expertise in query writing, query optimization, and database performance tuning.
 </li>
 <li>
 Experience with SSIS and KingswaySoft for data integration and ETL processes.
 </li>
 <li>
 Working knowledge of Microsoft Dynamics 365 CRM.
 </li>
 <li>
 Strong experience in developing reports and dashboards using Power BI.
 </li>
 <li>
 Experience with SSRS report development and deployment.
 </li>
 <li>
 Understanding of data warehousing concepts and data modeling principles.
 </li>
 <li>
 Strong analytical, problem-solving, and troubleshooting skills.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Location: Karachi, Pakistan
 
 
</div>

Senior Data Analyst

NielsenIQ

<div>Company Description 
Join GfK and help us shape tomorrow. As an NIQ company, we are the world's leading consumer intelligence firm, delivering the Full View&trade; on consumer behaviour. We enable manufacturers and retailers to better understand what consumers really want. With over 89 years of trusted expertise, we take pride in discovering new pathways to sustainable growth, for our clients, our people, and our planet. 
Job Description 
Contractual position for one year:
This is a data operations and quality-focused role, not a data science or machine learning position.
The newly established MI OAC (Market Insight Operation Acceleration Center) is a team of flexible and agile colleagues who will support MI Business as Usual (BAU) Data Operation teams during the critical phase of starting a new project.
As a Data Operations Analyst, you will be responsible for executing production tasks with expert-level proficiency. This includes advanced data coding, data matching, and comprehensive quality checks as required and in line with operational goals and business requirements You will play a key role in stakeholder communication, ensuring timely and accurate data delivery, and leading investigations into data issues. You are expected to proactively suggest improvements and corrections to enhance data quality and operational efficiency.
Key Responsibilities:
Tasks and responsibilities may vary based on the business requirement as this team supports during the set up phase of new projects. Examples of activities:<ul><li>
Data Coding: Apply complex and nuanced coding logic across multiple product categories.</li><li>
Data Matching: Ensure high accuracy matching across diverse data sources.</li><li>
Quality Checks: Conduct end-to-end validation of product features and pricing.<ul><li>
Apply analytical thinking to identify outliers and anomalies in pricing, sales, and market trends.</li><li>
Proactively suggest corrections and process improvements to enhance data quality and efficiency.</li></ul></li><li>
Maintain high standards of data integrity and consistency throughout the production cycle.</li><li>
Communicate effectively with internal and external stakeholders to:<ul><li>
Implement requested changes in data.</li><li>
Clarify and resolve data-related queries.</li></ul></li><li>
Ensure timely and accurate delivery of data outputs in alignment with SLAs.</li><li>
Lead Root Cause Analysis (RCA) for any data errors or delivery issues, and drive resolution.</li><li>
Document processes, findings, and resolutions clearly and consistently.</li><li>
Support cross-functional initiatives and mentor junior team members when needed.</li></ul> 

Qualifications 
<ul><li>
Expert-level understanding of product categorization, coding logic, and market dynamics.</li><li>
Strong analytical skills to detect patterns, trends, and anomalies in large datasets.</li><li>
End-to-end quality control capabilities, including validation of product features and pricing.</li><li>
High attention to detail and accuracy in data handling.</li><li>
Proactive problem-solving and continuous improvement mindset.</li><li>
Proficiency in internet-based research for product and market insights.</li><li>
Ability to work independently and collaboratively in a fast-paced environment.</li><li>
6 months to 2 years of exerpeince.</li></ul>
Education:<ul><li>
Bachelor&rsquo;s/ master&rsquo;s degree or equivalent professional experience in Business, Economics, Data Analytics, or a related field.</li></ul> 

Additional Information<div></div> 
Our Benefits<ul><li>
Flexible working environment</li><li>
Volunteer time off</li><li>
LinkedIn Learning</li><li>
Employee-Assistance-Program (EAP)</li></ul>
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including r&eacute;sum&eacute; screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ&rsquo;s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ&rsquo;s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

About NIQ
NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
For more information, visit NIQ.com
Want to keep up with our latest updates?
Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion</div>

Data Operations Associate

HugoBank

<div>Credit Modeling Analyst will develop, implement, and validate statistical and mathematical models to support credit risk assessment and decision-making across Consumer &amp; Program Lending portfolios.
 
 
Credit Modeling Analyst will support the Head of Credit Risk, Merchant &amp; Program Lending in building robust, data-driven models for credit scoring, risk measurement, and portfolio performance forecasting, ensuring model integrity through regular back-testing and validation.
 
 
Core Responsibilities :
1. Develop and implement statistical and mathematical credit models.
2. Identify, define, and calculate independent and dependent variables for model building and ensure accurate representation of credit risk parameters.
3. Identify, define, and calculate independent and dependent variables for model building and ensure accurate representation of credit risk parameters.
4. Collect, handle, cleanse, and prepare data from multiple internal and external sources for modeling purposes.
5. Ensure data integrity and accuracy throughout the data pipeline from extraction to model input by implementing effective data quality checks and cleansing procedures.
6. Maintain model documentation including data dictionaries, variable definitions, and transformation logic. 7. Conduct regular model back-testing to assess model performance, stability, and predictive accuracy over time. 
Requirements 
<ul><li>
1-3 years experience in the credit modeling, risk modeling or similar role within a banking or financial services industry.
</li><li>Minimum masters degree preferably in statistics, mathematics, econometrics or any relevant major.</li><li>
Leadership skills.</li><li>
Good inter personal skills.</li></ul></div>

Credit Modeling Analyst

Explore 113+ Data analytics analyst in Karachi this June. Find roles across top companies and apply now to boost your career.

113 data analytics analyst jobs In Karachi

Data Analyst (Marketing)

Data Analyst

Data Analyst

Data Analyst

Senior Data Analyst

Data Operations Associate

Credit Modeling Analyst