data scientist

business analyst

data engineer

data analyst i

data analyst ii

data analytics analyst

HR POD Careers

<div>
 
 Requirements:
 
 
 
 <ul>
 <li>
 3+ years of experience in a data-focused role (Data Scientist, Data Analyst, Business Intelligence).
 </li>
 <li>
 Strong command of SQL with experience writing optimized queries (joins, aggregations, filters, CTEs).
 </li>
 <li>
 Proven experience in data cleaning, transformation, and ETL/ELT workflows.
 </li>
 <li>
 Experience using Databricks or similar platforms for data processing, notebooks, or workflow management.
 </li>
 <li>
 Experience building dashboards using tools like Metabase, Tableau, Looker, or Power BI.
 </li>
 <li>
 Ability to create clear and intuitive dashboards for non-technical stakeholders.
 </li>
 <li>
 Strong analytical thinking, with the ability to translate data into insights and insights into actionable recommendations.
 </li>
 <li>
 Excellent communication skills, with the ability to explain complex findings in a simple and clear manner.
 </li>
 <li>
 Highly organized, detail-oriented, and capable of managing multiple projects concurrently.
 </li>
 <li>
 Proactive and comfortable working in a dynamic, fast-paced environment.
 </li>
 <li>
 Experience with machine learning techniques (regression, classification, clustering, forecasting).
 </li>
 <li>
 Familiarity with Python or R for data analysis, modeling, or automation.
 </li>
 <li>
 Exposure to SaaS or healthcare datasets.
 </li>
 <li>
 Experience working with large datasets or cloud data warehouses (Snowflake, BigQuery, Redshift).
 </li>
 <li>
 Experience with data governance, metadata management, or setting up data catalogs
 
 
 
 </li>
 </ul>
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Define, manage, and optimize the data pipeline, ingestion from internal systems, external sources, APIs, etc.
 </li>
 <li>
 Clean, validate, and transform raw data to prepare it for analysis and reporting.
 </li>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, anomalies, and business opportunities.
 </li>
 <li>
 Write efficient SQL queries to extract data, build metrics, and support business decisions.
 </li>
 <li>
 Build dashboards, visualizations, and automated reports for cross-functional teams.
 </li>
 <li>
 Collaborate with product, engineering, operations, and leadership to understand data needs and provide actionable insights.
 </li>
 <li>
 Monitor data quality, integrity, and performance; proactively detect and resolve issues.
 </li>
 <li>
 Maintain documentation for datasets, definitions, dashboards, and key metrics.
 </li>
 <li>
 Promote a data-driven culture by enabling teams to use data confidently and effectively.
 </li>
 <li>
 Continuously evaluate and recommend improvements to the Companys data tools, architecture, and processes.
 
 
 
 </li>
 </ul>
 
 Work Schedule:
 
 
 
 03:00 PM - 12 AM
</div>

Data Engineer (Onsite, Evening Shift, Lahore, PKR Salary)

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><div>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.</div><div>
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></div>

<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

Telerelation

Location: LahoreWork Hours: 1:00 PM &ndash; 9:00 PM (8 working hours)Job Schedule: Full-timeJob Level: InternshipCompany: TelerelationJob SummaryTelerelation is seeking a highly motivated and skilled Data Analytics Intern to join our remote services team. This internship offers hands-on experience in analyzing data from diverse sources, generating insights, and supporting strategic decision-making. The ideal candidate will have a strong foundation in data analysis, statistical modeling, and programming, with proficiency in SQL and Python.Key Responsibilities<ul><li>Collect, clean, and preprocess large datasets from databases, APIs, and flat files.</li><li>Perform exploratory data analysis to identify trends, patterns, and correlations.</li><li>Develop and apply data models, algorithms, and statistical techniques to solve business problems.</li><li>Create compelling visualizations, dashboards, and reports to communicate findings.</li><li>Collaborate with cross-functional teams to understand requirements and deliver data-driven solutions.</li><li>Conduct ad hoc analyses to support strategic decisions and business growth.</li><li>Monitor data quality, identify discrepancies, and implement quality controls.</li><li>Stay updated on industry trends, technologies, and best practices in data analysis and visualization.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Experience in data analysis or related roles, preferably in a remote work environment.</li><li>Proficiency in SQL for data querying and manipulation.</li><li>Experience with visualization tools such as Tableau, Power BI, or matplotlib.</li><li>Strong analytical and problem-solving skills.</li><li>Proficiency in Python, R, or Java.</li><li>Familiarity with machine learning techniques is a plus.</li><li>Excellent communication and collaboration skills.</li><li>Self-motivated and able to manage multiple projects simultaneously.</li></ul>About UsTelerelation is a global engineering and remote-services company delivering intelligent, scalable solutions across software, data, mechanical, electrical, and civil domains. We help organizations thrive by combining deep technical expertise with clear, honest communication and a commitment to doing what&rsquo;s right.Guided by our core values, we focus on delivering excellence with empathy and fairness. Every project we take on is approached with ownership, care, and the drive to create meaningful impact for our clients.Our TeamWe are a team of thoughtful problem-solvers who lead with empathy, fairness, honesty, and ownership&mdash;values that shape how we work, how we collaborate, and how we grow. We foster an environment where curiosity is encouraged, learning is continuous, and every individual feels trusted and supported. Whether you&rsquo;re beginning your journey or bringing seasoned experience, you&rsquo;ll find a culture that respects your voice, challenges you to excel, and celebrates your contributions.Apply NowJoin a dynamic team shaping the future of remote services. Send your resume to to begin your journey with Telerelation.Job Type: Full-timePay: Rs30,000.00 per monthEducation:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

Data Analytics Intern

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>

Data Analyst

Explore 1239+ Data analytics analyst in Lahore this December. Find roles across top companies and apply now to boost your career.

1239 data analytics analyst jobs IN Lahore

Data Engineer (Onsite, Evening Shift, Lahore, PKR Salary)

Data Analyst I

Data Analyst I

Data Analyst II

Data Analyst II

Data Analytics Intern

Data Analyst