business analyst

data analyst

data scientist

research analyst

analytical analyst

data analytics specialist

Aga Khan University

<div><div>Specialist (Data Governance), Global Data &amp; Analytics Office - (2500037E)</div><div><div><br>
</div><p><b>Specialist, Data Governance</b><br>
<b>Entity:</b> Aga Khan University<br>
<b>Location: </b>Karachi<br>
<b>Introduction to the Aga Khan University:</b><br>
The Aga Khan University is a private, international university committed to international standards of excellence in teaching, research, and service. Its teaching hospital, the Aga Khan University Hospital has been accredited by the prestigious Joint Commission International for achieving the highest international healthcare standards.</p>
<p><b>Job Role / Responsibilities:</b><br>
You will work as an expert the Data Governance team in the Global Data &amp; Analytics Office (GDAO) to for the development and implementation of Data Governance policies &amp; frameworks as well as to implement the Data Foundation Platform which will provide services such as a Data Catalog, ETL/ELTs, Data Quality, Data Lineage, etc.</p>
<p>Specifically, you will be responsible to;</p>
<ul><li>evaluate available solution proposal to select the best one for AKU and Pilot launch and implementation of solution</li>
<li>remain aware of regulatory requirements of the region and governing bodies related to Data Management</li>
<li>plan and implement processes and interventions to make sure that the organization remains compliant with the requirements</li>
<li>build inventories of Data Assets residing with departments in all AKU geographies</li>
<li>promote rollout and uptake of the Data policy and procedures training in East Africa and Kabul</li>
<li>develop central artefacts to develop common definitions for the institutions and engage stake holders to implement and maintain uniformity</li>
<li>understand the requirements and develop proposals for automation and work to implement processes after agreement of all stakeholders.</li></ul></div><div></div><div><br>
<div></div><p><b>Eligibility Criteria / Requirements:</b></p>
<ul><li>Undergraduate Degree in Computer Science or equivalent or Graduate degree and/ or Certifications in Data Analytics/ Informatics will be an added advantage</li>
<li>more than three years of experience of working in a large (preferably multinational) organization in a Data Science or related team</li>
<li>should have worked on projects for the implementation of Data organization and cataloguing software at the enterprise level</li>
<li>thorough understanding of Data Management body of knowledge</li>
<li>skilled in drafting and rolling out policies and processes for large scale organizations to cater to regulatory, security and strategic requirements</li>
<li>high level knowledge of enterprise tools and systems for Data Governance &amp; Data Science</li>
<li>emonstrated ability of delivering projects with multiple stakeholders within given timelines</li>
<li>working knowledge of Data Science/ Machine Learning related tools and practices</li>
<li>good interpersonal and communication skills.</li>
</ul>
</div><div></div><div>Primary Location: Pakistan</div><div>
Other Locations: Pakistan-Karachi</div><div>
Organisation: Aga Khan Hospital &amp; Medical College</div><div>
Employee Status: Regular</div><div>
Job Type: Standard</div><div>
Job Posting: 18/11/2025, 3:30:22 AM</div><div>
Closing Date: 21/11/2025, 12:59:00 PM</div></div>

Specialist (Data Governance), Global Data & Analytics Office

Kamayi.pk

<p><b>Data Analyst (LLM Specialization)Overview</b></p><p>Seeking a Data Analyst with hands-on experience in Large Language Models (LLMs) to support analytics, model evaluation, and AI-driven product development.</p><p><b>Key Responsibilities</b></p><ul><li>Analyze and interpret data to support business decisions.</li><li>Develop and optimize prompts, evaluations, and workflows for LLM systems.</li><li>Monitor LLM performance, track key metrics, and run A/B tests.</li><li>Work with structured/unstructured data, embeddings, and retrieval systems.</li><li>Build dashboards and reports to communicate insights.</li><li>Collaborate with product, engineering, and AI teams to enhance LLM features.</li></ul><p><b>Required Skills</b></p><ul><li>Strong SQL and Python skills.</li><li>Experience with LLMs (OpenAI, Anthropic, or open-source models).</li><li>Familiarity with prompt engineering, evaluation methods, and text analytics.</li><li>Proficiency with data visualization tools (e.g., Tableau, Power BI).</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

DATA ANALYST - LLM Specialized

Horizon Tech

<p><b>About the Role</b></p><p>Horizon Tech is hiring a Data Analyst to strengthen our Data Analytics function within the Technology team. Reporting to the Head of Product Data, you will play a crucial role in transforming business needs into actionable data insights, reports, and automation solutions.</p><p>You will work closely with cross-functional teams - including operations, product, and leadership &ndash; to develop dashboards, build data models, and automate key reporting pipelines. Your expertise in Python, SQL, Power BI, Looker Studio, and Google Cloud Platform (GCP) will help drive efficiency, accuracy, and visibility across our clinics and corporate operations.</p><p>Based in Pakistan, you&rsquo;ll collaborate with distributed teams across time zones, ensuring that data is accurate, accessible, and meaningful for business decisions.</p><p><b>Key Responsibilities</b></p><p><b>Data Analysis &amp; Business Insight</b></p><p>&middot; Partner with stakeholders to understand business requirements and define measurable KPIs.</p><p>&middot; Perform data exploration, cleaning, and transformation to extract actionable insights.</p><p>&middot; Present analyses and recommendations clearly to both technical and non-technical audiences.</p><p><b>Dashboarding &amp; Reporting</b></p><p>&middot; Design and maintain dynamic dashboards and reports in Power BI and Looker Studio.</p><p>&middot; Build interactive visualizations to monitor performance, trends, and operational efficiency.</p><p>&middot; Ensure data accuracy and consistency across reporting layers.</p><p><b>SQL &amp; Database Management</b></p><p>&middot; Write and optimize complex SQL queries for data extraction, aggregation, and validation.</p><p>&middot; Collaborate with engineers to maintain and improve data pipelines and warehouse performance.</p><p>&middot; Create views, stored procedures, and joins to support analytics workflows.</p><p><b>Automation &amp; Scripting</b></p><p>&middot; Use Python for automating recurring reporting tasks, data validation, and ETL processes.</p><p>&middot; Develop scripts to streamline workflows, reduce manual dependencies, and improve reliability.</p><p>&middot; Integrate APIs and third-party tools to enhance data accessibility and automation.</p><p><b>Cloud &amp; Data Infrastructure</b></p><p>&middot; Work within Google Cloud Platform (GCP) - primarily BigQuery, Cloud Storage, and Data Studio.</p><p>&middot; Manage data ingestion and transformation pipelines within GCP. Documentation Governance</p><p>&middot; Maintain documentation for datasets, metrics definitions, and automation processes.</p><p>&middot; Ensure clarity and traceability of data sources and business rules.</p><p>&middot; Support data governance and compliance practices across the organization.</p><p><b>Qualifications</b></p><p><b>Education</b></p><p>&middot; Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.</p><p><b>Experience</b></p><p>&middot; 2-3 years of experience as a Data Analyst, BI Analyst, or Data Engineer in a technology-driven environment.</p><p>&middot; Hands-on expertise in:</p><p>&sect; Python (pandas, NumPy, automation scripts)</p><p>&sect; SQL (advanced query writing, joins, CTEs, optimization)</p><p>&sect; Power BI and Looker Studio (dashboarding, DAX, data modeling)</p><p>&sect; Google Cloud Platform (BigQuery, Cloud Storage)</p><p>&middot; Proven experience building automated data pipelines and integrating multiple data sources.</p><p><b>Skills &amp; Attributes</b></p><p>&middot; Strong analytical and problem-solving mindset with attention to data accuracy.</p><p>&middot; Excellent written and verbal communication in English.</p><p>&middot; Ability to translate business needs into technical data solutions.</p><p>&middot; Familiarity with Agile workflows and tools (e.g., Jira, Confluence, Git).</p><p>&middot; Self-motivated, organized, and capable of managing multiple tasks in parallel.</p><p><b>Job Location:</b></p><p>&middot; Onsite. Suite No. 2002, 2nd Floor, Parveen Building, D-7, Shaheed-e-Millat Road, Bangalore Town, Block A, Karachi 75350, Sindh, Pakistan.</p><p><b>Schedule:</b></p><p>&middot; Work hours 3 PM to 12 AM PKT (Mon - Fri)</p><p>Job Type: Full-time</p><p>Pay: Rs180,000.00 - Rs220,000.00 per month</p><p>Application Question(s):</p><ul><li>What is your current salary?</li><li>What is your expected salary?</li></ul><p>Experience:</p><ul><li>Data Analyst: 2 years (Required)</li></ul><p>Work Location: In person</p>

Data Analyst

Afiniti

<div>
 <p>
  <strong>
   Who Are We?
  </strong>
 </p>
 <p>
  Over the past 16 years, Afiniti's patented technology has paired customers and contact centre agents in real-time based on how well they are likely to interact, leading to better experiences across the entire customer journey. As our products evolve, it is our mission to retain and grow revenue by creating repeatable AI-driven solutions that transition from high-touch managed services to product-led growth.
 </p>
 <p>
  Afiniti operates throughout the world and has driven billions of dollars of precisely measurable AI value for our telecommunications, banking, insurance, healthcare, and travel customers. To learn more, visit www.afiniti.com.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our Vision
  </strong>
 </p>
 <p>
  Afiniti&rsquo;s vision is to lead the contact centre industry by delivering innovative AI solutions that uniquely enhance customer lifetime value and operational efficiency, earning us the trust of leading consumer companies worldwide.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our Ways of Working
  </strong>
 </p>
 <p>
  At Afiniti, how we work is just as important as what we achieve. Our
  <strong>
   Ways of Working
  </strong>
  are ten guiding principles that define the standards and behaviors we hold ourselves accountable to every day. They push us to act with urgency and discipline, to innovate with data and facts, and to always see our work through the eyes of our clients. These principles are not abstract values - they are actionable commitments that shape daily decisions, strengthen collaboration, and ensure we deliver outcomes that matter.
 </p>
 <p>
  Together, they encourage us to be intentional in how we prioritize and execute, to confront challenges and conversations directly, and to embrace the richness of our global community with respect and openness. They remind us to celebrate excellence, show kindness, and assume good intentions in every interaction. By living these principles consistently, we build the culture we aspire to - one that is ambitious, respectful, and relentlessly focused on creating meaningful impact for our clients and each other.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  <strong>
   Data Scientist II
  </strong>
 </p>
 <p>
  <strong>
   Reporting to:
  </strong>
  Director &ndash; Data Science
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location
  </strong>
 </p>
 <p>
  Pakistan
 </p>
 <p>
  <strong>
   Work Environment:
  </strong>
  Hybrid
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About The Role
  </strong>
 </p>
 <p>
  Afiniti is looking for a
  <strong>
   Data Scientist II
  </strong>
  who combines analytical precision, problem-solving skills, and a passion for uncovering insights through data. Reporting to the Manager, Data Science, you will play a critical role in designing, developing, and optimizing Afiniti&rsquo;s AI-driven pairing and recommendation models that power human interactions at scale.
 </p>
 <p>
  As part of the Data Science team, you will apply statistical inference, predictive modeling, and machine learning techniques to large-scale datasets across diverse industries including telecommunications, healthcare, banking, and travel. You will work collaboratively with analytics, product, and engineering teams to translate theoretical concepts into deployable, measurable business impact. This position offers an exciting opportunity to work in a global, fast-paced environment with exposure to cutting-edge AI and data solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Will be Your Key Deliverables
  </strong>
 </p>
 <ul>
  <li>
   Perform statistical inference and advanced analysis on large datasets to identify key drivers and inform decision-making.
  </li>
  <li>
   Build, test, and refine predictive models and algorithms that optimize customer-agent pairing and next-best-action recommendations.
  </li>
  <li>
   Conduct performance analyses using real-time control groups to measure the impact of Afiniti&rsquo;s AI deployments.
  </li>
  <li>
   Translate abstract or ambiguous problems into tractable, data-driven solutions.
  </li>
  <li>
   Collaborate with cross-functional teams (analytics, product, and engineering) to operationalize models and insights.
  </li>
  <li>
   Communicate findings clearly and effectively to both technical and non-technical audiences.
  </li>
  <li>
   Lead or support production activities for deployed AI models, ensuring performance monitoring and reliability.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who You Are
  </strong>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  2&ndash;3 years of experience in data science, machine learning, or applied statistics, ideally within technology-driven or large-scale analytical environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education:
  </strong>
  Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, Economics, Physics, Engineering, or a related quantitative discipline.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills:
  </strong>
 </p>
 <ul>
  <li>
   Strong command of Python, R, or Julia for data analysis and modeling.
  </li>
  <li>
   Proficiency in SQL and experience with relational databases.
  </li>
  <li>
   Solid foundation in statistics, machine learning, and mathematical optimization.
  </li>
  <li>
   Hands-on experience working with large datasets, data visualization, and analytical reporting.
  </li>
  <li>
   Familiarity with tools like Git, Jupyter, or R Markdown for reproducible research and collaboration.
  </li>
  <li>
   Strong attention to detail, with the ability to manage projects independently and deliver high-quality work under deadlines.
  </li>
  <li>
   Excellent communication and collaboration skills in a cross-functional setting.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Behavioral Traits:
  </strong>
  Analytical, curious, collaborative, and able to thrive in a dynamic, research-oriented environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <ul>
  <li>
   Proficiency in Bayesian statistics, hierarchical modeling, MCMC algorithms, or latent factor models.
  </li>
  <li>
   Familiarity with Airflow or similar workflow orchestration tools.
  </li>
  <li>
   Experience with cloud-based data processing or distributed computing frameworks.
  </li>
  <li>
   Exposure to production-level machine learning deployment and monitoring.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What success looks like
  </strong>
 </p>
 <p>
  In this role, you will be successful if you:
 </p>
 <ul>
  <li>
   Deliver robust, interpretable models that improve measurable business outcomes for clients.
  </li>
  <li>
   Demonstrate initiative in translating theoretical models into scalable, production-ready solutions.
  </li>
  <li>
   Collaborate seamlessly with analytics, engineering, and product teams to integrate insights into Afiniti&rsquo;s systems.
  </li>
  <li>
   Uphold high standards of analytical accuracy, reproducibility, and documentation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why should you apply
  </strong>
 </p>
 <ul>
  <li>
   Opportunity to work at the forefront of applied AI, using advanced data science techniques to solve real-world business problems.
  </li>
  <li>
   Exposure to large-scale, high-impact projects across industries and regions.
  </li>
  <li>
   Professional growth through collaboration with world-class data scientists and ongoing learning opportunities.
  </li>
  <li>
   Work within a hybrid model that allows flexibility while maintaining collaboration with a global team.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What will make you stand out in the crowd
  </strong>
 </p>
 <p>
  You are someone who thrives on solving complex analytical challenges and bringing structure to ambiguity. You balance statistical rigor with practical problem-solving and communicate insights with clarity. Your curiosity, ownership, and collaborative spirit make you an integral part of Afiniti&rsquo;s mission to make human connections more valuable through AI.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   We believe that richness in diversity is a huge asset for Afiniti. We value both the similarities and differences in everyone who is a part of the Afiniti team. We believe that this diversity builds a stronger organization and is in keeping with the core values of our company. Our policy, therefore, is to provide equal employment opportunities for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, related medical conditions, breastfeeding or reproductive health decisions), gender identity or expression, national origin, age, marital status, ancestry, physical or mental disability, sexual orientation, personal appearance, genetic information, family responsibilities, matriculation, political affiliation, military or veteran status, or any other category protected under applicable federal, state or local law. This means that we comply with all applicable human rights and employment legislation, and we do not discriminate in any aspect of employment, including recruiting, hiring, compensation, promotions, reductions in force, or terminations.
  </em>
 </p>
</div>


Data Scientist II

Backtech

<p>Job Title: Operational Analyst &ndash; Excel Specialist<br/>Location: Uni Tower, I.I. Chundrigar Road, Karachi, Pakistan<br/>Job Type: Full-Time | Night Shift<br/>Salary: Rs 60,000 &ndash; Rs 62,000 per month</p><p>About the Role:<br/>We&rsquo;re looking for a detail-oriented Operational Analyst with strong Excel expertise to join our growing team. This role is ideal for someone who is analytical, tech-savvy, and comfortable working in a fast-paced environment. Fresh graduates are encouraged to apply!</p><p>Requirements:</p><ul><li>Bachelor&rsquo;s degree (O/A Levels background preferred)</li><li>Fluent in English with excellent written and verbal communication skills</li><li>Fresh or experienced candidates welcome</li><li>Must be willing to work night shifts</li><li>Must be able to commute to or relocate to Karachi (I.I. Chundrigar Road)</li></ul><p>Key Responsibilities:</p><ul><li>Create and manage complex Excel spreadsheets using advanced formulas, functions, and automation tools</li><li>Perform data analysis using filters, sorting, pivot tables, and other techniques to extract actionable insights</li><li>Develop automated workflows to streamline repetitive tasks and improve operational efficiency</li><li>Design and build dashboards and visual reports using charts, graphs, and conditional formatting</li><li>Collaborate with internal teams to interpret data, share findings, and support decision-making</li><li>Manage multiple tasks with strong time management and prioritization skills</li><li>Ensure accuracy and attention to detail in all work, particularly in high-volume or time-sensitive environments</li></ul><p>Job Type: Full-time</p><p>Pay: Rs60,000.00 - Rs62,000.00 per month</p><p>Application Question(s):</p><ul><li>Are you comfortable working in the night shift? </li></ul><p>Experience:</p><ul><li>US based: 1 year (Required)</li><li>Excel: 2 years (Required)</li></ul><p>Language:</p><ul><li>English (Required)</li></ul><p>Location:</p><ul><li>Karachi (Required)</li></ul><p>Work Location: In person</p>

Operational Analyst – Excel Specialist (US Based)

<div><div><b>WHO ARE WE?
</b></div><div>Over the past 16 years, Afiniti's patented technology has paired customers and contact centre agents in real-time based on how well they are likely to interact, leading to better experiences across the entire customer journey. As our products evolve, it is our mission to retain and grow revenue by creating repeatable AI-driven solutions that transition from high-touch managed services to product-led growth.</div>
<div>Afiniti operates throughout the world and has driven billions of dollars of precisely measurable AI value for our telecommunications, banking, insurance, healthcare, and travel customers. To learn more, visit www.afiniti.com.</div>
<div><b>Our vision</b></div>
<div>Afiniti&rsquo;s vision is to lead the contact centre industry by delivering innovative AI solutions that uniquely enhance customer lifetime value and operational efficiency, earning us the trust of leading consumer companies worldwide.</div>
<div><b>Our Ways of Working</b></div>
<div>At Afiniti, how we work is just as important as what we achieve. Our <b>Ways of Working</b> are ten guiding principles that define the standards and behaviors we hold ourselves accountable to every day. They push us to act with urgency and discipline, to innovate with data and facts, and to always see our work through the eyes of our clients. These principles are not abstract values - they are actionable commitments that shape daily decisions, strengthen collaboration, and ensure we deliver outcomes that matter.</div>
<div>Together, they encourage us to be intentional in how we prioritize and execute, to confront challenges and conversations directly, and to embrace the richness of our global community with respect and openness. They remind us to celebrate excellence, show kindness, and assume good intentions in every interaction. By living these principles consistently, we build the culture we aspire to - one that is ambitious, respectful, and relentlessly focused on creating meaningful impact for our clients and each other.</div>
<div></div><div><b>THE ROLE</b><br>
<b>Data Scientist II</b><br>
<b>Reporting to:</b> Director &ndash; Data Science<br>
<b>LOCATION</b><br>
Pakistan<br>
<b>Work Environment:</b> Hybrid</div>
<div></div><div><b>ABOUT THE ROLE</b></div>
<div>Afiniti is looking for a <b>Data Scientist II</b> who combines analytical precision, problem-solving skills, and a passion for uncovering insights through data. Reporting to the Manager, Data Science, you will play a critical role in designing, developing, and optimizing Afiniti&rsquo;s AI-driven pairing and recommendation models that power human interactions at scale.</div>
<div>As part of the Data Science team, you will apply statistical inference, predictive modeling, and machine learning techniques to large-scale datasets across diverse industries including telecommunications, healthcare, banking, and travel. You will work collaboratively with analytics, product, and engineering teams to translate theoretical concepts into deployable, measurable business impact. This position offers an exciting opportunity to work in a global, fast-paced environment with exposure to cutting-edge AI and data solutions.</div>
<div></div><div><b>What will be your key deliverables</b></div>
<ul><li>Perform statistical inference and advanced analysis on large datasets to identify key drivers and inform decision-making.</li>
<li>Build, test, and refine predictive models and algorithms that optimize customer-agent pairing and next-best-action recommendations.</li>
<li>Conduct performance analyses using real-time control groups to measure the impact of Afiniti&rsquo;s AI deployments.</li>
<li>Translate abstract or ambiguous problems into tractable, data-driven solutions.</li>
<li>Collaborate with cross-functional teams (analytics, product, and engineering) to operationalize models and insights.</li>
<li>Communicate findings clearly and effectively to both technical and non-technical audiences.</li>
<li>Lead or support production activities for deployed AI models, ensuring performance monitoring and reliability.</li>
</ul>
<div></div><div><b>Who you are</b></div>
<div><b>Experience:</b> 2&ndash;3 years of experience in data science, machine learning, or applied statistics, ideally within technology-driven or large-scale analytical environments.<br>
<b>Education:</b> Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, Economics, Physics, Engineering, or a related quantitative discipline.</div>
<div><b>Skills:</b></div>
<ul><li>Strong command of Python, R, or Julia for data analysis and modeling.</li>
<li>Proficiency in SQL and experience with relational databases.</li>
<li>Solid foundation in statistics, machine learning, and mathematical optimization.</li>
<li>Hands-on experience working with large datasets, data visualization, and analytical reporting.</li>
<li>Familiarity with tools like Git, Jupyter, or R Markdown for reproducible research and collaboration.</li>
<li>Strong attention to detail, with the ability to manage projects independently and deliver high-quality work under deadlines.</li>
<li>Excellent communication and collaboration skills in a cross-functional setting.</li>
</ul><div><b>Behavioral Traits:</b> Analytical, curious, collaborative, and able to thrive in a dynamic, research-oriented environment.</div>
<div></div><div><b>Nice to have</b></div>
<ul><li>Proficiency in Bayesian statistics, hierarchical modeling, MCMC algorithms, or latent factor models.</li>
<li>Familiarity with Airflow or similar workflow orchestration tools.</li>
<li>Experience with cloud-based data processing or distributed computing frameworks.</li>
<li>Exposure to production-level machine learning deployment and monitoring.</li>
</ul>
<div></div><div><b>What success looks like</b></div>
<div>In this role, you will be successful if you:</div>
<ul><li>Deliver robust, interpretable models that improve measurable business outcomes for clients.</li>
<li>Demonstrate initiative in translating theoretical models into scalable, production-ready solutions.</li>
<li>Collaborate seamlessly with analytics, engineering, and product teams to integrate insights into Afiniti&rsquo;s systems.</li>
<li>Uphold high standards of analytical accuracy, reproducibility, and documentation.</li>
</ul>
<div></div><div><b>Why should you apply</b></div>
<ul><li>Opportunity to work at the forefront of applied AI, using advanced data science techniques to solve real-world business problems.</li>
<li>Exposure to large-scale, high-impact projects across industries and regions.</li>
<li>Professional growth through collaboration with world-class data scientists and ongoing learning opportunities.</li>
<li>Work within a hybrid model that allows flexibility while maintaining collaboration with a global team.</li>
</ul>
<div></div><div><b>What will make you stand out in the crowd</b></div>
<div>You are someone who thrives on solving complex analytical challenges and bringing structure to ambiguity. You balance statistical rigor with practical problem-solving and communicate insights with clarity. Your curiosity, ownership, and collaborative spirit make you an integral part of Afiniti&rsquo;s mission to make human connections more valuable through AI.</div><br>
<div></div>
<div></div><div><i>We believe that richness in diversity is a huge asset for Afiniti. We value both the similarities and differences in everyone who is a part of the Afiniti team. We believe that this diversity builds a stronger organization and is in keeping with the core values of our company. Our policy, therefore, is to provide equal employment opportunities for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, related medical conditions, breastfeeding or reproductive health decisions), gender identity or expression, national origin, age, marital status, ancestry, physical or mental disability, sexual orientation, personal appearance, genetic information, family responsibilities, matriculation, political affiliation, military or veteran status, or any other category protected under applicable federal, state or local law. This means that we comply with all applicable human rights and employment legislation, and we do not discriminate in any aspect of employment, including recruiting, hiring, compensation, promotions, reductions in force, or terminations.</i></div></div><div></div>

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/>
 <br/>
 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 Role
  <br/>
  <br/>
 </strong>
 The role is responsible for driving data-driven insights and strategies to fuel user acquisition, engagement, and retention across Careem's platform and verticals. The role holder will leverage advanced data analytics, understanding of consumer behavior and prior grasp of key fundamental growth metrics to define and analyze growth opportunities, optimize campaigns and initiatives and improve key metrics such as CLTV, CAC, AOV and ARPU
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 Data Collection and Preparation
 <br/>
 <br/>
 <ul>
  <li>
   Extract Data: Retrieve data from multiple sources (SQL databases, APIs, and third-party tools) to support analysis
  </li>
  <li>
   Data Cleaning and Wrangling: Prepare and clean datasets to ensure accuracy and usability for analysis
  </li>
  <li>
   Maintain Data Integrity: Regularly verify and maintain data quality, ensuring consistent and reliable information for decision-making
  </li>
  <li>
   Automate Data Pipelines: Develop and refine scripts to automate repetitive data tasks, improving efficiency.
   <br/>
   <br/>
  </li>
 </ul>
 Analysis and Insights
 <br/>
 <br/>
 <ul>
  <li>
   Conduct Exploratory Data Analysis (EDA): Perform preliminary analysis to uncover trends, patterns, and initial insights at channel, vertical and campaign level
  </li>
  <li>
   A/B Testing: Design, run, and analyze A/B tests to measure the effectiveness of growth initiatives.
  </li>
  <li>
   User Behavior Analysis: Analyze user activity, segment performance, and identify key behavior trends to support user growth, engagement, and retention.
  </li>
  <li>
   Predictive Analysis: Apply advanced statistical techniques to forecast trends and potential outcomes.
   <br/>
   <br/>
  </li>
 </ul>
 Reporting and Visualization
 <br/>
 <br/>
 <ul>
  <li>
   Build Dashboards: Develop and maintain dashboards (e.g., in Tableau, Power BI) to provide real-time insights to stakeholders.
  </li>
  <li>
   Generate Regular Reports: Create and distribute weekly and monthly reports on key metrics and performance indicators.
  </li>
  <li>
   Visualize Data: Present insights through clear visualizations to make complex data understandable and actionable.
  </li>
  <li>
   KPI Tracking: Track and report on core growth KPIs, including retention, churn, and acquisition metrics
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Engineering/Mathematics/Statistics from a Tier-1 Institute
  </li>
  <li>
   Certifications in Data Intelligence/BI reporting/ AI preferred
  </li>
  <li>
   4-5 years of proven experience in a similar role preferably in a large Scale B2C startup (Food delivery, e-commerce, gaming) or consumer internet business
  </li>
  <li>
   Well versed in data mining, statistical modeling and advanced data analysis
  </li>
  <li>
   Strong hold of Python, SQL and data visualization tools (Power BI, VBA, Tableau) and Powerpoint
  </li>
  <li>
   Strong understanding of A/B Testing, Regression Analysis, User Segmentation, Cohort analysis and churn/attrition modeling, CLTV models
  </li>
  <li>
   Demonstrated experience in applying behavior analytics principles to growth models
  </li>
  <li>
   Good communication skills with ability to effectively present results to both technical and non-technical audience
   <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:
 <br/>
 <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 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.
  </li>
  <li>
   Access to healthcare benefits and fitness reimbursements for health activities including: gym, health club and training classes.
  </li>
 </ul>
</div>


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