data scientist

data engineer

business analyst

data analyst

ai data scientist

data analyst i

Careem

<div>
 <strong>
  About the Company
  <br/>
  <br/>
 </strong>
 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.
 <br/>
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 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.
 <br/>
 <br/>
 <strong>
  <em>
   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.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;ll Provide You
  <br/>
  <br/>
 </strong>
 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:
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 <br/>
 <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

Tata Consultancy Services (TCS)

<div></div><div><div><div><p>fDesigning and developing data products in the Microsoft Azure stack such as Azure Data Factory, Databricks, Azure DevOps deployment pipelines, Airflow, et cetera &bull; Creating scalable data products to boost data-driven working Leading in one or more initiatives within the area D&amp;I to enable, facilitate and operationalize innovation to be at the forefront of technological developments. &bull; Work together with other lead engineers at area level to set the foundations and best practices. &bull; Ensure that other engineers can proactively identify gaps in information, manage limitations, and consider the broader implications of their decisions. &bull; 7+ years&rsquo; experience as a Data Engineer in a complex IT landscape &bull; Experience in Azure Data Bricks Knowledge , Splunk , Dynatrace , Pyspark, AWS /Azure Devops CI/CD, Airflow , Specflow , &bull; Experience in working with SQL and developing ETL solutions Experienced in working with Azure data platform. For example, ADF, Databricks, Synapse, Azure DevOps &bull; Experienced in testing pipelines which are built on Azure with system and regression tests &bull; Experienced with OPS work like monitoring and solving incidents &bull; Knowledge of Apache Airflow &bull; Knowledge of data modelling and data management is preferable &bull; Knowledge of Python Spark is preferable &bull; Knowledge of client and payments data is preferable &bull; AWS knwoledge/certification is must
</p></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Analyst</div>
</div><div><div><b>Job Id</b></div>
<div>383845</div>
</div><div><div><b>Desired Skills</b></div>
<div>Azure Data Factory | Azure</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Azure Data Engineer

Adam Smith International

<div><p><b>Business Analysts &ndash; Assessment and Improvement of Compliance Management Practices in RTO-I &amp; CTO Karachi</b></p><p>
The Revenue Mobilisation, Investment and Trade (REMIT) is a seven-year (2021 &ndash; 2027) programme funded by the UK&rsquo;s Foreign, Commonwealth and Development Office (FCDO) and is implemented by Adam Smith International (ASI). The programme provides technical assistance (TA) to Pakistan with a broader objective to implement reforms for strengthening macroeconomic stability and improving conditions for high and sustained growth, mutual prosperity, job creation and poverty reduction. The Programme works towards supporting the Government of Pakistan, its relevant ministries, institutions, and departments to strengthen revenue mobilisation reforms/initiatives, address investment environment challenges, facilitate trade and drive competitiveness by reducing trade barriers, and improve the macroeconomic policy and its management.</p><p>
To strengthen compliance management practices in field formations, the Federal Board of Revenue (FBR) has sought technical assistance through the REMIT Programme. A diagnostic review will be undertaken in Karachi, covering one Regional Tax Office (RTO) and the Corporate Tax Office (CTO). The review will help identify current gaps and opportunities, and generate actionable recommendations aimed at streamlining processes, improving resource utilisation, and enhancing the capacity of officers to manage compliance workloads more effectively.</p><p>
Undertaking a diagnostic review of selected field formations will establish a baseline of current compliance practices, identify bottlenecks in workflows and supervisory oversight, and translate findings into actionable recommendations for case-management, office processes, and prioritization frameworks. The review will also assess actual use of dashboards/MIS and decision-support tools in day-to-day operations and explore practical nudges to improve taxpayer responsiveness.</p><p><b>
Job Summary</b></p><p>
The Business Analyst will drive the project&rsquo;s evidence base&mdash;leading data collection, structuring datasets, and conducting rigorous analysis to illuminate compliance patterns across RTO-I Karachi and CTO Karachi. Working closely with officers in the sampled units, the role maps current processes and jurisdictional lines, builds clear process flows, and segments taxpayers by behaviour and revenue impact. The analyst will translate field interviews, dashboard/MIS usage, and performance reports into a coherent diagnostic, and develop a gap-analysis matrix that pinpoints workflow issues, resource constraints, and inconsistencies.</p><p><b>
Duties and Responsibilities</b></p><ul><li>Lead data collection from field offices, dashboards/MIS, and case records; build clean, well-structured datasets for analysis.</li><li>Analyse compliance patterns across sampled units; segment taxpayers by behaviour and revenue impact.</li><li>Map end-to-end processes and jurisdictional lines; produce clear, version-controlled process maps.</li><li>Conduct desk reviews of laws, rules, circulars, SOPs, and performance reports; reconcile &ldquo;documented vs. practiced&rdquo; procedures.</li><li>Run structured interviews with officers and supervisors; synthesise insights on workflows, bottlenecks, and resource gaps.</li><li>Compile a Gap Analysis Matrix capturing workflow challenges, duplication, delays, oversight issues, and dashboard/MIS usage.</li><li>Support benchmarking against international good practice (including OECD CRM) and translate findings into practical options.</li><li>Apply a gender lens: disaggregate evidence, reflect women taxpayers&rsquo; experiences, and highlight targeted improvements.</li><li>Draft concise issue notes and contribute to Process/Office Improvement Proposals, prioritisation logic, and nudging options.</li><li>Prepare the Diagnostic Mapping Report (with process maps and segmentation) for internal review and FBR submission.</li><li>Develop indicators/KPIs and simple tracking views (tables/charts) to monitor pilot performance and adoption.</li><li>Assist in preparing briefings, decks, and workshop materials; capture decisions and action items from validation sessions.</li><li>Coordinate with focal officers, IT/MIS teams, and fellow analysts to maintain data quality, consistency, and timelines.</li><li>Maintain organised documentation (sources, assumptions, codebooks) to ensure auditability and handover readiness.</li></ul><p><b><br>
Qualifications and Experience:</b></p><ul><li>Minimum 5+ years in process mapping and organisational diagnostics, ideally within public sector reform, tax/revenue administration, or adjacent regulatory domains.</li><li>Bachelors in Business, Economics, Public Policy, Data Science, or related field; a relevant Master&rsquo;s or professional certifications are an advantage.</li><li>Proficiency in data collection, cleaning, and analysis; comfortable building structured datasets.</li><li>Proven ability to document workflows, build process maps, and develop structured gap-analysis matrices that pinpoint bottlenecks, duplications, and decision-rights issues.</li><li>Effective stakeholder liaison across officer tiers; dependable team player who maintains quality, documentation discipline, and timelines.</li><li>Ability to conduct <b>structured interviews</b> and on-site observations; skilled at synthesising frontline perspectives and management insights into actionable findings.</li><li>Strong analytical writing, concise issue-note drafting, and presentation skills; able to brief senior counterparts clearly.</li><li>Proficiency in data analysis, MIS tools, dashboards, and data visualisation.</li><li>Familiarity in revenue administration or compliance monitoring workings.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul><p></p><p><b><br>
Reporting</b></p><p>
The <b>&ldquo;The Business Analysts&rdquo; </b>will report to the REMIT Team Lead and REMIT Tax Lead.</p><p><b>
Level of Effort (LOE)</b></p><p>
The level of effort for this assignment is around 72 days.</p><p><b>
Application and Deadline</b></p><p>
The deadline to apply is Wednesday 17th December 2025.</p></div><p></p>

Business Analyst - REMIT Programme

Al Fatah Travel & Tour

<p>We are seeking an exceptionally skilled <b>Data Analyst</b> to join our Finance team. This role is crucial for transforming large, complex financial data sets into clear, strategic insights for budgeting, forecasting, and performance management. Success in this position requires <b>expert-level mastery of Microsoft Excel</b> and a strong analytical mindset.</p><p><b>Key Responsibilities:</b></p><ul><li>Analyze revenue, expense, and budget variance data to support financial reporting and forecasting.</li><li><b>Design and manage dynamic financial models</b> and detailed variance reports.</li><li><b>Utilize expert-level Excel skills</b> to manipulate and analyze large datasets efficiently.</li><li>Routinely employ functions like <b>VLOOKUP, INDEX/MATCH, and SUMIFS</b>.</li><li>Develop and audit robust <b>Pivot Tables</b> and implement advanced <b>Conditional Formatting</b> for reporting.</li><li>Extract, validate, and ensure the accuracy of financial data from various ERP systems.</li><li>Present analytical findings and actionable recommendations to senior finance leadership.</li></ul><p><b>Required Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in Finance, Accounting, Economics, or a related field.</li><li>2 years of experience in a Data Analyst or Financial Analyst role.</li></ul><p><b>Technical Expertise (Mandatory):</b></p><ul><li><b>Proven, expert-level proficiency in Microsoft Excel</b> (VLOOKUP, Pivot Tables, Conditional Formatting are required).</li><li>Experience with financial planning and budgeting cycles.</li><li>Familiarity with financial systems (Catalyst).</li></ul><p>Job Type: Full-time</p><p>Pay: Rs40,000.00 - Rs60,000.00 per month</p><p>Ability to commute/relocate:</p><ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Data analyst: 2 years (Required)</li></ul><p>Work Location: In person</p>

Data Analyst

WEBDOC Medical Complex Kahuta

<p><b>Data Analyst </b></p><p><b>Job Description:</b></p><p>We are seeking a skilled Data Analyst &amp; 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.</p><p><b>Key Responsibilities:</b></p><p>Perform data extraction, transformation, and analysis using Python (Pandas) and SQL (PostgreSQL).</p><p>Develop and maintain reports and dashboards using Power BI, with awareness of the Star Schema model.</p><p>Automate routine data tasks using Windows Task Scheduler and batch scripts.</p><p>Collaborate with cross-functional teams to deliver accurate and timely data insights.</p><p>Optimize and troubleshoot SQL queries and database performance as needed.</p><p><b>Required Skills:</b></p><p>Proficient in Python (especially Pandas) and data structures.</p><p>Strong SQL skills (PostgreSQL), ideally at a database administrator or advanced analyst level.</p><p>Experience with Power BI and understanding of Star Schema design.</p><p>Familiarity with automation tools like Windows Task Scheduler and writing batch files.</p><p>Good problem-solving and communication skills.</p><p><b>Job Location:</b> Phase 7, Bahria Town, Rawalpindi</p><p><b>Experience Required:</b> Minimum 3 Years</p><p><b>Employment Type:</b> Full-Time</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Will you be able to reliably commute to Bahria Town Phase 7, Rawalpindi for this job?</li><li>How many years of experience do you have with Python?</li><li>How many years of experience do you have with PostgreSQL?</li><li>How many years of experience do you have with Power BI?</li></ul><p>Work Location: In person</p>

Chase Up your Shopping partner

<p><b>Summary:</b></p><p>The Retail Data Analyst is responsible for collecting, analyzing, and interpreting data to help the company make informed decisions about product assortment, pricing, promotions, and other aspects of the business. The Retail Data Analyst will work closely with the merchandising, marketing, and store operations teams to develop and implement strategies that drive sales and profit growth.</p><p><b>Responsibilities:</b></p><ul><li>Collect and analyze data from a variety of sources, including point-of-sale data, customer surveys, and social media data.</li><li>Develop and run data models to identify trends and patterns.</li><li>Communicate findings to stakeholders in a clear and concise manner.</li><li>Work with cross-functional teams to develop and implement data-driven solutions.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs65,000.00 - Rs85,000.00 per month</p><p>Experience:</p><ul><li>SQL: 1 year (Preferred)</li></ul><p>Work Location: In person</p>

Data & Analytics (Karachi - Pakistan)

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Data Analyst I

Data Analyst I

Azure Data Engineer

Business Analyst - REMIT Programme

Data Analyst

Data Analyst

Data & Analytics (Karachi - Pakistan)