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data analyst

NextGen | GTA: A Kelly Telecom Company

<div>
 
 We are seeking a highly skilled
 
 Data Analyst
 
 to play a key role in transforming our data into high-quality, actionable insights that support business decision-making&mdash;particularly for sales and revenue operations. This role partners closely with data engineers, business analysts, system administrators, and business stakeholders to define data requirements, ensure data accuracy, and deliver meaningful analytics.
 
 
 The ideal candidate brings strong technical expertise, along with hands-on experience working with CRM and sales data. They enjoy working in a dynamic, fast-paced environment and are comfortable with ambiguity.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with data engineers, business analysts, and stakeholders to define data requirements.
 </li>
 <li>
 Examine data from multiple source systems and run comparison analysis for anomalies, errors, and inconsistencies.
 </li>
 <li>
 Design and implement mapping logic to cleanse, filter, and structure raw data into usable, high-quality data sets. Document data mappings, conversion rules, workflows, and ETL specifications.
 </li>
 <li>
 Work with technical SMEs and system administrators to create and optimize ETL processes, scripts, and workflows to move data between systems.
 </li>
 <li>
 Work with technical and functional SMEs to validate data and ensure high quality. Troubleshoot and problem solve data-related issues.
 </li>
 <li>
 Use statistical techniques to interpret data, identify patterns, and predict trends
 </li>
 <li>
 Create interactive dashboards, reports, and visualizations to communicate findings to stakeholders.
 </li>
 <li>
 Make recommendations to improve processes, workflows, and automation.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Skills and Qualifications
 
 
 <ul>
 <li>
 
 4+ years work experience
 
 in a data analyst or equivalent role
 </li>
 <li>
 
 Functional Experience:
 
 Supporting sales organizations and working with sales data, customer accounts data, and revenue data
 </li>
 <li>
 
 CRM
 
 : Experience with CRM Tools such as HubSpot, Bullhorn, and Gong
 </li>
 <li>
 
 BI
 
 : Experience with BI Tools such as Power BI or Tableau
 </li>
 <li>
 
 Data Analysis:
 
 Ability to analyze data structures and interpret complex datasets.
 </li>
 <li>
 
 Analytical Skills:
 
 Strong mathematical skills to gather, measure, and analyze data.
 </li>
 <li>
 
 Technical Skills:
 
 Strong proficiency in SQL, experience with ETL tools (e.g., Informatica, Talend, SSIS), and scripting languages (Python, Bash). Experience with Excel and Power Point.
 </li>
 <li>
 
 Database Knowledge:
 
 Familiarity with relational databases (SQL Server, Oracle, PostgreSQL) and data warehousing concepts.
 </li>
 <li>
 
 Soft Skills:
 
 Communication skills to explain technical findings to non-technical stakeholders and critical thinking to solve business problems.
 </li>
 <li>
 
 Education:
 
 Bachelor's degree in mathematics, statistics, computer science, data science, or business analytics; or equivalent work experience.
 </li>
 </ul>
 
 
</div>

Data Analyst

Marham - Find a Doctor

<ul><li>Convert clinical trial inclusion/exclusion criteria into precise, computable logic.</li><li>Build and maintain semantic/business layer structures for patient cohort identification.</li><li>Develop complex SQL (CTEs, window functions, UDFs/TVFs) and Python-based data logic.</li><li>Collaborate with Data Engineering and AI teams to design scalable cohort models.</li><li>Validate data outputs using EHR, claims, labs, and other clinical datasets.</li><li>Communicate requirements and results clearly with clinical and product stakeholders.</li></ul><ul><li>Requirements</li><li>Strong SQL and Python (procedural programming).</li><li>Experience interpreting clinical trial protocols (I/E criteria).</li><li>Excellent communication and cross-functional collaboration skills.</li><li>Understanding of healthcare data structures and quality assurance methods.</li><li>Experience with AWS (S3, Lambda, Athena) or GCP (Cloud Storage, Cloud Functions, BigQuery).</li><li>Familiarity with FHIR, OMOP, CDISC, or semantic/ontology modeling.</li><li>Background in clinical operations, real-world evidence (RWE), or digital health.</li></ul>Job Type: Full-timeWork Location: In person

Eleganz Luxury

Position Summary:We are seeking a detail-oriented Data Analyst &ndash; ERP (SAP) to support data-driven decision-making across business functions. The role focuses on extracting, analyzing, validating, and visualizing data from SAP ERP systems to deliver actionable insights, improve process efficiency, and ensure data integrity.Key Responsibilities:&middot; Extract, transform, and analyze data from SAP ERP modules (FI/CO, MM, SD, PP, HR, etc.).&middot; Design and maintain reports, dashboards, and KPIs using SAP tools and BI platforms.&middot; Collaborate with functional teams (Finance, Supply Chain, Sales, Operations) to understand reporting needs.&middot; Ensure data accuracy, consistency, and governance across ERP data sources.&middot; Perform root-cause analysis and trend analysis to support management decisions.&middot; Support month-end and year-end reporting activities.&middot; Document data definitions, business rules, and reporting logic.&middot; Identify opportunities to automate reporting and improve data workflows.&middot; Assist in SAP enhancements, testing, and data validation during upgrades or integrations.Required Skills &amp; Qualifications:&middot; Bachelor&rsquo;s degree in Computer Science, Information Systems, Business Analytics, Finance, or related field.&middot; 3&ndash;6 years of experience as a Data Analyst with strong exposure to SAP ERP.&middot; Hands-on experience with SAP modules (FI/CO mandatory; MM/SD preferred).&middot; Strong knowledge of SAP tables, data structures, and relationships.&middot; Proficiency in SQL and data analysis techniques.&middot; Experience with SAP reporting tools (SAP Query, ABAP reports, SAP BW/4HANA, SAC preferred).&middot; Strong Excel skills (Power Query, Pivot Tables, advanced formulas).&middot; Understanding of business processes and ERP workflows.&middot; Strong analytical, problem-solving, and communication skills.Preferred / Nice-to-Have:&middot; Experience with SAP S/4HANA environment.&middot; Exposure to BI tools such as Power BI, Tableau, or SAP Analytics Cloud.&middot; Knowledge of ETL processes and data modeling.&middot; Basic understanding of ABAP or debugging reports.&middot; Experience in audit support and compliance reporting.Key Competencies:&middot; Data accuracy &amp; attention to detail&middot; Business-oriented analytical thinking&middot; Stakeholder communication&middot; Time management &amp; prioritization&middot; Continuous improvement mindsetJob Type: Full-timePay: Rs130,000.00 - Rs160,000.00 per monthWork Location: In person

Data Analyst – ERP (SAP)

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Team
 
 
 
 Part of Careem NextGen Team, the mission of the program is to train the new Analysts to build Analytical excellence foundations with high standards. You will have access to some of the most exciting projects and advanced tech for accelerated learning and exposure, leveraging modern analysis and visualization tools to solve the region&rsquo;s day to day problems.
 
 
 The Careem Analytics team&rsquo;s mission is to build and track the full lively picture for Careem businesses and experiences, uphold the experience bar, provide actionable insights, formulate problems and contribute to solving them.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured data from various internal and external sources.
 </li>
 <li>
 Build and maintain dashboards and reports to track KPIs and business performance.
 </li>
 <li>
 Work with cross-functional teams (product, engineering, and operations) to understand data needs and deliver actionable insights.
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
 </li>
 <li>
 Support experimentation (A/B testing) and data-driven decision-making.
 </li>
 <li>
 Write SQL queries and use analytical tools to extract, transform, and analyze data efficiently.
 </li>
 <li>
 Leverage AI and automation tools to streamline recurring analytical tasks, improve data workflows, and enhance productivity.
 </li>
 <li>
 Explore opportunities to integrate AI-assisted insights (e.g., anomaly detection, trend forecasting, text summarization) into dashboards and reports.
 </li>
 <li>
 Document data definitions, methodologies, and analysis processes.
 </li>
 <li>
 Ensure data quality, integrity, and accuracy in reporting systems.
 </li>
 <li>
 Present findings clearly through visualizations and storytelling to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Economics, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience as a Data Analyst or in a similar analytical role.
 </li>
 <li>
 Strong SQL skills and proficiency in at least one analytical language (Python or R).
 </li>
 <li>
 Strong SQL and Python skills, with experience in analytical libraries (e.g., pandas, NumPy, SciPy).
 </li>
 <li>
 Hands-on experience with BI and visualization tools (e.g., Power BI, Tableau, Looker, or Metabase).
 </li>
 <li>
 Understanding of data modeling, ETL processes, and database concepts.
 </li>
 <li>
 Basic knowledge of statistics and hypothesis testing.
 </li>
 <li>
 Familiarity with AI tools (e.g., ChatGPT, Gemini, Copilot) and an understanding of how to apply them to automate analyses, improve data exploration, and enhance decision-making.
 </li>
 <li>
 Curiosity to experiment with emerging AI capabilities for workflow optimization and insight generation.
 </li>
 <li>
 Strong attention to detail and ability to manage multiple priorities.
 </li>
 <li>
 Excellent communication and presentation skills with the ability to explain insights effectively.
 </li>
 <li>
 Strong attention to detail, analytical curiosity, and a bias for driving measurable impact.
 </li>
 <li>
 Experience with version control (Git) and data warehouses (BigQuery, Redshift, Snowflake) is a plus.
 
 
 </li>
 </ul>
 
 What We&rsquo;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:
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 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.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Data Analyst I

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Team
 
 
 
 At Careem, the mission for the NextGen Programme is to help grow our engineers by learning how to write Clean Code, use SOLID principle techniques, and design reliable systems. The ultimate goal is to train new engineers to build excellent foundations with high standards. Our Programme covers vast areas in engineering: Backend, Frontend, Web, Mobile, Data Analysis, MLOps, Infrastructure, Cyber Security and QA.
 
 
 Part of Careem NextGen Team, the mission of the program is to train the new Analysts to build Analytical excellence foundations with high standards.You will have access to some of the most exciting projects and advanced tech for accelerated learning and exposure, leveraging modern analysis and visualization tools to solve the region&rsquo;s day to day problems.
 
 
 The Careem Analytics team&rsquo;s mission is to build and track the full lively picture for Careem businesses and experiences, uphold the experience bar, provide actionable insights, formulate problems and contribute to solving them.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Act as the first point of contact to answer all business data queries
 </li>
 <li>
 Develop effective reporting solutions by utilizing engineering best practices and various reporting tools
 </li>
 <li>
 Participate in continuous improvement of these reporting solutions
 </li>
 <li>
 Ability to quickly understand business requirements and questions and find innovative ways to answer those through data analysis
 </li>
 <li>
 Drive and support your designated business unit by converting complex data and findings into understandable tables, graphs, and written reports
 </li>
 <li>
 Present appropriate analysis and commentary to technical and non-technical audience
 </li>
 <li>
 Gain subject matter expertise and help define appropriate key metrics for the business unit and discover untapped areas for business improvement
 </li>
 <li>
 Run regular data integrity audits
 </li>
 <li>
 Devise and evaluate methods for collecting data, such as surveys, questionnaires, and opinion polls
 </li>
 <li>
 Gather data about consumers, competitors, and market conditions
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2-4 years of demonstrated experience working in an analytical role
 </li>
 <li>
 1+ years of demonstrated experience with business intelligence and visualization tools creating management dashboards
 </li>
 <li>
 Strong analytical skills with expertise in SQL and large datasets
 </li>
 <li>
 Passion for learning new technologies and working on large-scale, impactful products.
 </li>
 <li>
 Expert at writing SQL queries against large amounts of data
 </li>
 <li>
 Self-starter with excellent communication, organizational skills, and the ability to work in complex operational environments.
 </li>
 <li>
 Ability to get hands-on in a complex operational environment
 </li>
 <li>
 Must be process oriented and a logical thinker with good attention to detail
 </li>
 <li>
 Experience with BI tools (e.g., Tableau, MicroStrategy, Looker) for dashboards
 </li>
 <li>
 Knowledge of Python, R, Spark, Hive, and data lakes (preferred)
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Provide You
 
 
 
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a Careem colleague you will be able to:
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Enjoy the flexibility that comes with the trust of being an owner; work in a hybrid style with a mix of days at the office and at home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including: gym, health club and training classes.
 </li>
 </ul>
</div>

Data Analyst II

Compass Training and Consultancy Pvt. Ltd.

Note: Our office hours are from 11 a.m. to 8 p.m. to keep pace with our UK office.Role and Responsibilities<ul><li>Extracting, Transforming and Loading Data in various systems</li><li>Data provisioning in raw format</li><li>Acquiring data from primary or secondary data sources and maintaining databases</li><li>Interpreting data, analysing results using statistical techniques to derive key insights</li><li>Supporting all stakeholders with reports, insights and data as needed.</li><li>Reconciliation of data from different sources and production of financial reports.</li><li>Identify, analyse, and interpret trends or patterns in complex data sets.</li><li>Identify process and data improvement opportunities and bring forward ideas.</li><li>Ad-hoc reporting</li><li>Present findings to stakeholders in an organized and meaningful way.</li></ul>Qualifications and Education Requirements<ul><li>Data Analyst professional certificate or equivalent</li><li>Understanding and on-hands experience with SQL, MySql, MQuery, DAX</li><li>R-Script, Python would be considered an advantage in combination with the above.</li></ul>Key Requirements<ul><li>Excellent Command of English, Attention to Detail and Adaptive Communication Skills.</li><li>Ability to work under the pressure of tight deadlines and not a job hopper.</li><li>Python/R is a must.</li><li>Storytelling techniques</li><li>Self-Starter and Can-do attitude</li><li>Creative, Out-of-the-Box and Outspoken personality</li><li>Technical and practical experience with Data Models, Database design development, Data Mining and Segmentation techniques</li><li>Proven working experience in the field of Data Analysis and Reporting</li><li>Strong knowledge and experience with PowerBi, DataSets, DataLakes, Azure, SQL, MySQL, ETL frameworks, Visualizations, Dashboards, DAX, MQuery, BigData, SAP, Tableau</li><li>MS Excel, MS Office proficiency</li><li>Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc)</li><li>Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.</li><li>Adapt at queries, report writing and presenting findings.</li></ul>Job Type: Full-timePay: Rs190,000.00 - Rs200,000.00 per monthApplication Question(s):<ul><li>How many years of professional experience do you have as a Data Analyst?</li><li>How would you rate your Spoken English Skills (out of 10)</li><li>Understanding and on-hands experience with SQL, MySql, MQuery, DAX? Yes/No</li><li>Are you Lahore based? Does 11am-8pm timing work for you at Arfa Kareem Towers?</li><li>Do you have Technical and practical experience with Data Models, Database design development, Data Mining and Segmentation techniques? </li><li>Strong knowledge and experience with PowerBi, DataSets, DataLakes, Azure, SQL, MySQL, ETL frameworks, Visualizations, Dashboards, DAX, MQuery, BigData, SAP, Tableau? (Yes or No</li></ul>Work Location: In person

Reporting and Data Analyst

Crewlogix

Job Summary We are seeking a detail-oriented and analytical Junior Business Analyst to support business operations by gathering requirements, analyzing data, and assisting in process improvement initiatives. The ideal candidate will work closely with stakeholders, senior analysts, and technical teams to help translate business needs into clear documentation and actionable insights.Key Responsibilities<ul><li>Assist in gathering and documenting business requirements from stakeholders</li><li>Analyze business processes and identify areas for improvement</li><li>Support data analysis, reporting, and dashboard preparation</li><li>Prepare functional documents such as BRDs, process flows, and use cases</li><li>Coordinate with technical and non-technical teams to support project delivery</li><li>Participate in meetings, workshops, and requirement discussions</li><li>Assist in testing activities (UAT) and validation of business solutions</li><li>Maintain project documentation and ensure data accuracy</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Business Administration, IT, Finance, or a related field</li><li>1&ndash;2 years of experience in a business analysis or similar role</li><li>Basic understanding of business analysis concepts and methodologies</li><li>Strong analytical and problem-solving skills</li><li>Good communication and documentation skills</li><li>Proficiency in MS Excel, PowerPoint, and Word</li><li>Ability to work collaboratively in a team environment</li><li>Attention to detail and eagerness to learn</li></ul>Preferred Skills (Nice to Have)<ul><li>Familiarity with tools like Jira, Confluence, Power BI, or SQL</li><li>Basic knowledge of SDL or Agile methodologies</li><li>Experience in data analysis or reporting</li></ul>Job Type: Full-timeWork Location: In person

Jr Business Analyst

Explore 253+ Data analyst in Lahore this February. Find roles across top companies and apply now to boost your career.

253 data analyst jobs In Lahore

Data Analyst

Data Analyst

Data Analyst – ERP (SAP)

Data Analyst I

Data Analyst II

Reporting and Data Analyst

Jr Business Analyst