business analyst

financial reporting analyst Jobs in Lahore

financial reporting analyst

marketing analyst

remote- accounting analyst Jobs in Lahore

remote- accounting analyst

associate data scientist

data analyst

ETS Devices

Overview:The ETS is seeking a Data Analyst to support data-driven decision-making across federal programs. The ideal candidate will analyze complex datasets, generate actionable insights, and deliver clear reports and visualizations.Key Responsibilities:&middot; Analyze, clean, and validate data from multiple sources.&middot; Develop dashboards, reports, and visualizations to support decision-making.&middot; Identify trends, patterns, and actionable insights.&middot; Collaborate with teams to understand data needs.&middot; Ensure compliance with federal data governance and security standards.Qualifications:&middot; Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or related field.&middot; 2+ years of data analysis experience.&middot; Proficiency in SQL, Python, R, or similar tools.&middot; Experience with advance level excel, Power BI, or other visualization tools.&middot; Strong analytical, problem-solving, and communication skills.Preferred:&middot; Knowledge of federal data regulations and GSA operations.&middot; Experience with predictive modeling or advanced analytics.Job Type: Full-timeWork Location: In person

Data Analyst

Systems Limited

<div>
 
 Systems Limited is looking for a Category Data Analyst as per the requirements below:
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Ensure that reports are accurate, updated and aligned with current business/team needs.
 </li>
 <li>
 Handle and solve all issues connected with data handling issue source investigation, comparing data between different sources and matching data with End Market or other source data.
 </li>
 <li>
 Handle queries from management team and resolve with vendor where possible.
 </li>
 <li>
 General support with non-technical business user queries.
 </li>
 <li>
 Develop good working relationships with peers within End Market, as well as other functions.
 </li>
 <li>
 Become a subject matter expert in category and product data.
 </li>
 <li>
 A team-player attitude is crucial, value collaboration, and curiosity.
 </li>
 </ul>
 
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 Expert in using Excel, Power BI or other tools for data analysis and reconciliation.
 </li>
 <li>
 High level of attention to detail and ability to spot trends and anomalies.
 </li>
 <li>
 Knowledge of data science (SQL, Python, R), and ability to use to query large dataset is a plus.
 </li>
 <li>
 Working experience with any of the following Nielsen/Kantar/ Other tools is a plus.
 </li>
 <li>
 1-2 years of experience in data and analytics in business analysis, reporting, business support or visualization role.
 </li>
 </ul>
 
 
</div>

Category Data Analyst

Marham

<div>
 <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>
 Requirements
 
 
 <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>
 Benefits
 
 
 <li>
 
 Competitive salary and performance-based incentives
 
 
 </li>
 <li>
 
 Paid time off and public holidays
 
 
 </li>
 <li>
 
 Professional development opportunities (training, workshops, certifications)
 
 
 </li>
 <li>
 
 Access to industry conferences and networking events
 
 
 </li>
 <li>
 
 Supportive, collaborative, and mission-driven work culture
 
 
 </li>
</div>

Dawat-e-Islami Trust

Job Responsibilities:<ul><li>Collect, clean, and analyze large datasets</li><li>Prepare reports, dashboards, and data visualizations</li><li>Identify trends, patterns, and insights to support decision-making</li><li>Maintain data accuracy and integrity</li><li>Coordinate with departments to understand data requirements</li><li>Use statistical tools and techniques for analysis</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Data Science / Computer Science / Statistics / IT</li><li>1&ndash;3 years relevant experience (fresh candidates with strong skills may apply)</li><li>Strong skills in MS Excel, SQL, and Power BI / Tableau</li><li>Knowledge of Python or R will be a plus</li><li>Good analytical and problem-solving skills</li></ul>Job Type: Full-timePay: Rs50,000.00 - Rs70,000.00 per monthWork Location: In person

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

UserWise Services

<div>Job Description
We are seeking a motivated and analytical Mobile Games Data Analyst to join our team. As a Data Analyst, you will be responsible for interpreting and analyzing data related to our mobile games' performance. You will work closely with product managers, game developers, and marketing teams to provide insights that will guide decisions on game design, user acquisition, retention strategies, and monetization.
Type
Full time 
About Us
UserWise builds high-performance external teams for top mobile game studios. We partner with companies like Halfbrick and PeopleFun, and leading the development of the newest progression-based Fruit Ninja title. We&rsquo;re here to build and grow real games&mdash;not just support them.
Your role will include tracking key performance indicators (KPIs), analyzing user behavior patterns, conducting A/B tests, and identifying opportunities for optimization. You will also be tasked with reporting on in-game economies, user engagement, and churn rates to help us enhance the overall gaming experience.
Key Responsibilities:
Your role will include tracking key performance indicators (KPIs), analyzing user behavior patterns, conducting A/B tests, and identifying opportunities for optimization. You will also be tasked with reporting on in-game economies, user engagement, and churn rates to help us enhance the overall gaming experience.<ul>
<li>
Analyze data from mobile games to track player behavior, game performance, and business KPIs.</li>
<li>Generate actionable insights to improve user engagement, retention, and monetization strategies.</li>
<li>Design and execute A/B tests tracking to assess the impact of game updates and new features.</li>
<li>Collaborate with game designers, product managers, and marketing teams to inform data-driven decisions.</li>
<li>Build and maintain dashboards to track in-game performance metrics.</li>
<li>Use SQL to write complex queries and extract data from various sources.</li>
<li>Present data findings to stakeholders, making recommendations based on your analysis.</li>
<li>Monitor trends and emerging patterns within game data, identifying opportunities for optimization.</li>
</ul>
Requirements<ul>
<li>
Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or equivalent</li>
<li>experience in the industry.</li>
<li>Proven experience in a data analysis role, ideally within the mobile gaming industry.</li>
<li>Strong proficiency in SQL, with the ability to write, optimize, and troubleshoot complex</li>
<li>queries.</li>
<li>Experience with data visualization tools like Tableau, Power BI, or similar.</li>
<li>Familiarity with statistical methods and tools for data analysis is a plus.</li>
<li>Nice to have a knowledge of game analytics platforms (e.g., GameAnalytics, or Firebase) is</li>
<li>desirable.</li>
<li>Excellent problem-solving skills and attention to detail.</li>
<li>Strong communication skills, with the ability to present complex data in an understandable</li>
<li>way.</li>
<li>Passion for mobile games and a deep understanding of gaming KPIs (DAU, MAU, retention,</li>
<li>ARPU, etc.).</li>
<li>English is the primary working language; candidates must be fluent in spoken and written English</li>
</ul>
This role is ideal for someone who loves diving into data, discovering trends, and making an impact
on the future of mobile games!
Benefits<ul>
<li>
Market competitive, tax-free USD salaries</li>
<li>Paid Time Off</li>
<li>Performance Bonus</li>
<li>Annual Performance Reviews</li></ul></div>

Data Analyst (Mobile Games)

Compass Training and Consultancy Pvt. Ltd.

Since 2014, Retail Direct Group has been the Hub for highly managed teams working together to make successful deliveries for its clients across the UK. We're dedicated in providing innovative, low-cost and high-return technical solutions for businesses across multiple verticals, including but not limited to technology, fashion, health &amp; beauty, sports, and home &amp; garden, enabling them to sell their wares online.We take pride in our dedicated teams that manage multiple operations and make hassle-free, on-time deliveries.To get on with our growing business, we are aiming to expand our Retail Direct Team at Arfa Karim Tower in Lahore. We are looking for Reporting &amp; Data Analyst as part of our E-Com Team to support our operations in Pakistan and our HQ team operating in the UK.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: Up to Rs200,000.00 per monthApplication Question(s):<ul><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>Experience:<ul><li>Data Analyst : 4 years (Preferred)</li></ul>Work Location: In person

Reporting and Data Analyst

Explore 682+ Data analyst in Lahore this January. Find roles across top companies and apply now to boost your career.

682 data analyst jobs IN Lahore

Data Analyst

Category Data Analyst

Data Analyst

Data Analyst

Data Analyst I

Data Analyst (Mobile Games)

Reporting and Data Analyst