business analyst

data analyst

research analyst

senior data analyst

clinical data analyst

data scientist

Mahaana (YC W22)

<div>
 Send your CV &amp; portfolio at
 
 careers@mahaana.com
 
 with the subject &ldquo;Data Infrastructure &amp; Engineering". Please mention your current and expected salary in your submission.
 
 
 &zwj;
 
 
 &zwj;
 
 
 
 JD - Data Infrastructure &amp; Engineering
 
 
 
 <ul>
 <li>
 Design and build scalable data pipelines processing financial transactions, market data, and user behaviour
 </li>
 <li>
 Develop ETL processes integrating data from CDC, banking partners, fund administrators, and market data providers
 </li>
 <li>
 Build real-time data systems for portfolio tracking, NAV calculations, and transaction processing
 </li>
 <li>
 Maintain data quality frameworks ensuring accuracy of financial reporting and regulatory compliance
 </li>
 <li>
 Optimize database performance for sub-second query response on millions of transactions
 
 
 </li>
 </ul>
 
 Analytics &amp; Insights
 
 
 
 <ul>
 <li>
 Analyze user behavior to identify drop-off points, conversion bottlenecks, and engagement patterns
 </li>
 <li>
 Build dashboards and reporting systems for internal teams and regulatory submissions
 </li>
 <li>
 Conduct cohort analysis to understand customer lifetime value, retention, and product usage
 </li>
 <li>
 Develop attribution models to measure marketing channel effectiveness and CAC optimization
 </li>
 <li>
 Create financial models for portfolio performance analysis and risk assessment
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 2-5 years experience in data science, data engineering, or analytics (fintech/finance experience strongly preferred)
 </li>
 <li>
 Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch)
 </li>
 <li>
 Proficiency in SQL and experience with relational databases (PostgreSQL, MySQL)
 </li>
 <li>
 Experience building ETL pipelines and working with large datasets (millions of records)
 </li>
 <li>
 Strong statistical knowledge and experience with A/B testing, regression analysis, time series
 </li>
 <li>
 Ability to communicate complex technical concepts to non-technical stakeholders
 </li>
 <li>
 Self-starter comfortable working in a fast-paced startup environment
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Airflow, Kafka)
 </li>
 <li>
 Knowledge of financial products (mutual funds, pension schemes, market indices)
 </li>
 <li>
 Familiarity with regulatory requirements in Pakistan's financial sector
 </li>
 <li>
 Experience with visualization tools (Tableau, Power BI, Looker, or custom dashboards)
 </li>
 <li>
 Background in behavioral economics or consumer psychology
 
 
 </li>
 </ul>
 &zwj;
</div>

Data Infrastructure & Engineering

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 Role
 
 
 
 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
 
 
 
 What You'll Do
 
 
 
 
 Data Collection and Preparation
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Analysis and Insights
 
 
 
 <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>
 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.
 
 
 </li>
 </ul>
 
 Reporting and Visualization
 
 
 
 <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
 
 
 </li>
 </ul>
 
 What You Need
 
 
 
 <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, Digital &amp; Mobile App attribution and incrementality.
 </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
 
 
 </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>

Senior Growth Analyst

Mashreq

<div>
 Job Description
 
 Designation: Assistant Manager &ndash; RBG Analytics
 
 Department: RBG Analytics
 
 Experience: 6-8 Years
 
 Location: Pakistan
 
 
 Role Purpose
 
 The Assistant Manager &ndash; AI &amp; Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing effectiveness. The role focuses on leveraging customer digital footprint data across digital channels to generate insights, develop predictive models, and optimize digital marketing campaigns and customer journeys.
 
 In addition to traditional machine learning expertise, the role requires foundational AI Engineering capabilities, including familiarity with Large Language Models (LLMs) and their application in banking use cases such as customer support automation, intelligent search, and digital engagement solutions.
 
 The role requires strong analytical capability, technical expertise in machine learning, and the ability to translate digital behavioral data into actionable insights that support business growth and customer experience initiatives.
 
 
 Ability to deliver Use cases in RM Efficiency/Productivity improvement
 
 Ability to do Analytics on Commercial Banking / Corporate Banking Portfolio and Identity Opportunities
 
 Portfolio Analytics on CASA Portfolio to support CASA Squad and Product team
 
 Bringing robust tracking and campaign fulfillment process for Liabilities /Trade Finance/ Working Capital
 
 
 Key Result Areas (KRA)
 
 1. Machine Learning &amp; Predictive Analytics
 
 - Develop and deploy machine learning models to support digital banking use cases such as customer segmentation, churn prediction, next-best-product recommendations, and campaign targeting.
 
 - Implement predictive analytics models to improve customer engagement and product adoption across digital channels.
 
 - Continuously monitor model performance and refine algorithms to improve accuracy and business impact.
 
 Digital Marketing Analytics
 
 - Support marketing teams in evaluating digital campaign performance using advanced analytics and AI-driven insights.
 
 - Build models for campaign targeting, customer propensity, and marketing attribution.
 
 - Provide insights on channel effectiveness, campaign ROI, and customer acquisition strategies.
 
 4. AI Engineering &amp; LLM Applications
 
 - Support the design and development of AI-powered solutions using Large Language Models (LLMs) for digital banking use cases.
 
 - Assist in building AI-driven tools such as chatbots, intelligent assistants, knowledge search, and automated content generation.
 
 - Integrate AI models and APIs into banking platforms and analytics workflows.
 
 - Experiment with prompt engineering and model fine-tuning to enhance AI solution performance.
 
 5. Data Preparation &amp; Feature Engineering
 
 - Extract, clean, and transform large datasets from multiple banking systems and digital platforms.
 
 - Develop feature engineering strategies to improve machine learning model performance.
 
 - Work with data engineering teams to ensure efficient data pipelines for analytics use cases.
 
 6. Collaboration with Business &amp; Product Teams
 
 - Work closely with digital banking, marketing, and product teams to identify data-driven opportunities.
 
 - Translate business requirements into analytical models and actionable insights.
 
 - Present findings and recommendations to stakeholders to support strategic decisions.
 
 
 Problem Solving &amp; Decision Making
 
 Analytical Problem Solving
 
 - Analyze complex datasets to identify patterns, anomalies, and opportunities that improve customer engagement and digital banking performance.
 
 - Apply statistical techniques and machine learning methods to solve real business challenges.
 
 AI Solution Design
 
 - Support decision-making related to the selection and application of AI/ML models, including LLM-based solutions for digital banking processes.
 
 - Evaluate trade-offs between model performance, scalability, and usability in production environments.
 
 Data Interpretation &amp; Business Insights
 
 - Translate complex analytical outputs into clear business insights that can inform marketing strategies and product development.
 
 
 Technical Skills
 
 Programming &amp; Data Analysis
 
 - Strong proficiency in Python for machine learning and data analysis.
 
 - Experience with SQL for data extraction and manipulation.
 
 - Knowledge of R is an added advantage.
 
 Machine Learning &amp; AI
 
 - Experience with machine learning algorithms including regression, classification, clustering, and recommendation systems.
 
 - Hands-on experience with libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.
 
 AI Engineering &amp; LLM Technologies
 
 - Understanding of Large Language Models (LLMs) and their applications.
 
 - Experience working with LLM APIs and frameworks (e.g., OpenAI APIs, LangChain, or similar frameworks).
 
 - Basic knowledge of prompt engineering, embeddings, and retrieval-augmented generation (RAG).
 
 - Familiarity with developing AI-enabled applications such as chatbots or knowledge assistants.
 
 Data Processing
 
 - Experience working with large datasets using Pandas, NumPy, and big data frameworks such as PySpark or Spark.
 
 Digital Analytics Tools
 
 - Familiarity with digital analytics platforms such as Google Analytics, Adobe Analytics, or similar tools.
 
 - Experience analyzing customer digital behavior and clickstream data.
 
 Data Visualization
 
 - Ability to build dashboards and visualizations using Power BI, Tableau, or similar BI tools.
 
 
 Skills &amp; Competencies
 
 - Strong analytical and problem-solving abilities
 
 - Ability to work with large and complex datasets
 
 - Understanding of digital customer journeys and online behavior analytics
 
 - Foundational understanding of AI engineering concepts and LLM applications
 
 - Effective communication and presentation skills
 
 - Ability to translate analytical insights into business recommendations
 
 - Collaborative approach to working with cross-functional teams
 
 
 Educational Qualifications
 
 Bachelor&rsquo;s or master&rsquo;s degree in one of the following disciplines:
 
 - Computer Science
 
 - Data Science
 
 - Artificial Intelligence
 
 - Statistics
 
 - Engineering or related quantitative field Bottom of Form
</div>

Assistant Manager - Analytics (Mashreq Global Network Pakistan)

National Foods Limited

<div>
 At National Foods Limited, we are on a journey of growth and on building our most valuable assets which include our brands, financial strength, global presence, and our unbridled commitment to becoming a truly sustainable and a renowned company in the world.
 
 
 
 Job Purpose
 
 
 
 To enhance the effectiveness and agility of the Finished Goods (FG) Supply Planning function by driving automation, improving data quality, digitizing core planning processes, and leading functional excellence initiatives.
 
 
 
 Principal Responsibilities
 
 
 
 <ul>
 <li>
 Automate recurring Supply Planning processes such as SAP data extraction, stock visibility reporting, weekly production plan inputs, and MPS data preparation.
 </li>
 <li>
 Introduce systemized checks and validations to reduce manual errors in key inputs (BOM ratios, safety stock values, production versions, SFG/PM availability).
 </li>
 <li>
 Build robust dashboards to strengthen operational visibility across:
 </li>
 <li>
 FG DOC (Days of Cover) at SKU/category/plant level, highlighting over-stocked and under-stocked items relative to monthly targets and operating norms.
 </li>
 <li>
 Lean KPIs including planning cycle time, schedule adherence, loss tree analysis, and waste reduction opportunities.
 </li>
 <li>
 SLOBs (Slow-Moving &amp; Obsolete Stock) tracking to identify early risk items, aging trends, stock liquidation opportunities, and cross-functional action plans.
 </li>
 <li>
 RM/PM availability against the weekly production plan, highlighting constraints impacting FG output.
 </li>
 <li>
 Production sequencing &amp; line efficiency, including changeover impact, format-wise planning, and machine utilization KPIs.
 </li>
 <li>
 Standardize reporting templates across categories to ensure consistent data interpretation and decision support for ORM, PDCA and DSRs.
 </li>
 <li>
 Collaborate with IRD, Production, QC, Procurement, and IT/SAP teams to resolve data discrepancies impacting MRP, MPS and weekly plans.
 </li>
 <li>
 Serve as an operational backup to category-wise FG Planners during leave, high volume periods, or crisis scenarios.
 </li>
 <li>
 Calculate and verify Over Printing Instructions (OPI) quantities, ensuring alignment with production versions and formulation requirements before communication to Procurement.
 </li>
 <li>
 Coordinate OPI and stickering requirements by consolidating SKU-wise label, artwork, and quantity needs, validating them against packaging material availability and ensuring correct production version alignment to avoid errors during printing and execution.
 </li>
 <li>
 Projects related to CS/DP/SP as required by the function.
 
 
 </li>
 </ul>
 
 Skill Requirements
 
 
 
 <ul>
 <li>
 Business and analytical Skills
 </li>
 <li>
 Proficeint in MS Office / ERP / BI
 </li>
 <li>
 Demonstrated excellence in oral, written and electronic communications
 </li>
 <li>
 Excellent customer service skills
 </li>
 <li>
 Excellent organizational skills
 </li>
 <li>
 Ability to think critically and solve problems
 </li>
 <li>
 Stakeholder Management
 
 
 </li>
 </ul>
 
 Education
 
 
 
 Graduate in Supply Chain.
 
 
 
 Experience
 
 
 
 2-3 years&rsquo; experience preferred.
 
 
 National Foods Limited provides equal employment opportunity (EEO) to all persons regardless of age, color, origin, physical or mental disability, race, religion, creed, gender, marital status, status with regard to public assistance or any other characteristic protected by federal, state or local laws.
</div>

Sr Executive Supply Planning & Data Science

Datamatics Technologies

<div>
 Job Description: Data Security &amp; Privacy Engineer
 
 
 Job Title:
 
 Data Security &amp; Privacy Engineer
 
 
 Experience:
 
 3&ndash;11+ Years
 
 
 Location:
 
 &nbsp;
 
 Riyadh - Onsite
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking a skilled
 
 Data Security &amp; Privacy Engineer
 
 with
 
 3&ndash;11+ years of experience
 
 to design, implement, and manage enterprise data security and privacy solutions. The ideal candidate will have strong expertise in identity and access management, data protection technologies, encryption, security monitoring, and privacy controls across cloud environments. This role will be responsible for ensuring the confidentiality, integrity, and availability of enterprise data while supporting regulatory compliance and security best practices.
 
 Key Responsibilities
 <ul>
 <li>
 Design and implement data security and privacy controls across enterprise environments
 </li>
 <li>
 Manage identity and access management (IAM) solutions across cloud platforms
 </li>
 <li>
 Implement data protection strategies including encryption, masking, and data loss prevention
 </li>
 <li>
 Configure and manage security monitoring and threat detection solutions
 </li>
 <li>
 Support security assessments, audits, and compliance initiatives
 </li>
 <li>
 Define and enforce data security policies, standards, and best practices
 </li>
 <li>
 Collaborate with cloud, infrastructure, application, and data teams to secure enterprise data assets
 </li>
 <li>
 Monitor security events, investigate incidents, and support remediation activities
 </li>
 <li>
 Implement secure data handling practices throughout the data lifecycle
 </li>
 <li>
 Support privacy initiatives including sensitive data discovery, classification, and protection
 </li>
 <li>
 Continuously evaluate emerging security threats and recommend improvements
 </li>
 </ul>
 Required Technical SkillsIdentity &amp; Access Management (IAM)
 <ul>
 <li>
 Hands-on experience with
 
 GCP IAM or Azure IAM or AWS IAM
 
 </li>
 <li>
 Strong understanding of identity governance, authentication, authorization, roles, permissions, and access controls
 </li>
 <li>
 Experience implementing least privilege access models and access management best practices
 </li>
 </ul>
 Data Protection &amp; Privacy
 <ul>
 <li>
 Experience with
 
 Data Loss Prevention (DLP)
 
 solutions
 </li>
 <li>
 Strong understanding of data classification, sensitive data protection, and privacy controls
 </li>
 <li>
 Experience implementing data security policies and compliance requirements
 </li>
 </ul>
 Encryption &amp; Key Management
 <ul>
 <li>
 Strong experience with
 
 Encryption and Key Management Services (KMS)
 
 </li>
 <li>
 Knowledge of encryption standards, key lifecycle management, certificate management, and cryptographic best practices
 </li>
 <li>
 Experience securing data at rest, in transit, and during processing
 </li>
 </ul>
 Data Masking &amp; Protection
 <ul>
 <li>
 Experience implementing
 
 Data Masking
 
 techniques for protecting sensitive information
 </li>
 <li>
 Understanding of tokenization, anonymization, and privacy-enhancing technologies
 </li>
 </ul>
 Security Monitoring &amp; SIEM
 <ul>
 <li>
 Hands-on experience with
 
 Splunk or Microsoft Sentinel
 
 for security monitoring and incident detection
 </li>
 <li>
 Experience analyzing security events, alerts, logs, and threat intelligence data
 </li>
 <li>
 Knowledge of SIEM use cases, dashboards, and security investigations
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a related field
 </li>
 <li>
 
 3&ndash;11+ years
 
 of experience in Data Security, Cloud Security, Information Security, or Privacy Engineering
 </li>
 <li>
 Strong understanding of cloud security principles and enterprise security architecture
 </li>
 <li>
 Excellent analytical, troubleshooting, and communication skills
 </li>
 <li>
 Experience working with cross-functional security and technology teams
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with cloud security frameworks and compliance standards
 </li>
 <li>
 Knowledge of privacy regulations and data protection requirements
 </li>
 <li>
 Familiarity with security automation and incident response processes
 </li>
 <li>
 Experience securing data platforms, analytics environments, and cloud-native applications
 </li>
 <li>
 Security certifications such as CISSP, CCSP, Security+, or cloud security certifications are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Cloud IAM:
 
 
 GCP IAM or Azure IAM or AWS IAM
 
 </li>
 <li>
 
 Data Protection:
 
 DLP
 
 and
 
 Data Classification
 
 and
 
 Privacy Controls
 </li>
 <li>
 
 Encryption &amp; Security:
 
 Encryption
 
 and
 
 KMS
 
 and
 
 Key Lifecycle Management
 </li>
 <li>
 
 Data Privacy:
 
 Data Masking
 
 and
 
 Tokenization
 
 and
 
 Sensitive Data Protection
 </li>
 <li>
 
 Security Monitoring:
 
 
 Splunk or Microsoft Sentinel
 
 </li>
 <li>
 
 Security Operations:
 
 SIEM Monitoring
 
 and
 
 Threat Detection
 
 and
 
 Incident Response
 </li>
 <li>
 
 Cloud Security:
 
 Cloud Security Controls
 
 and
 
 Access Governance
 
 and
 
 Compliance Management
 </li>
 </ul>
</div>

Data Security & Privacy Engineer

Icon Plus

We are looking for a dedicated and detail-oriented Female Data Entry Operator for our Sales Department. Job Responsibilities:<ul><li>Enter and update sales data accurately in the system</li><li>Maintain daily sales records and reports</li><li>Verify data for accuracy and completeness</li><li>Coordinate with the sales team for data clarification</li><li>Maintain confidentiality of sales information</li></ul>Requirements:<ul><li>Minimum Intermediate degree preferred.</li><li>Proven experience as a Data Entry Operator (Sales data preferred).</li><li>Proficiency in MS Excel and MS Office.</li><li>Good typing speed with high accuracy.</li><li>Strong attention to detail and time management skills.</li></ul>Location: M.A Jinnah Road. Working Hours: 9:30am to 5:30PM Benefits: As per the Company Policy.Job Type: Full-timePay: Rs18,000.00 - Rs20,000.00 per monthWork Location: In person

Data Entry Operator Male

HRPSP - Your Strategic HR Partner

We&rsquo;re Hiring &ndash; Data Warehouse &amp; BI SpecialistLocation: KarachiWork Type: HybridWe&rsquo;re looking for a skilled Data Warehouse &amp; BI Specialist with expertise in Airbyte, ClickHouse, Superset &amp; Power BI to design, manage, and optimize modern data solutions.Requirements:* Hands-on experience with Airbyte, ClickHouse, Superset &amp; Power BI* Strong SQL skills &amp; ETL/ELT knowledge* Experience in data modeling, dashboards &amp; performance tuning* Knowledge of governance, security &amp; access controls* Cloud (AWS/GCP/Azure) &amp; Python experience is a plusResponsibilities:* Manage data ingestion &amp; models (Airbyte, ClickHouse)* Build dashboards &amp; reports (Superset, Power BI)* Ensure data quality &amp; reliability* Collaborate with teams on analytics needsWhat We Offer:Competitive salary, growth opportunities &amp; a collaborative work cultureWork Location: In person

Data Warehouse & BI Specialist

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