data analyst

research analyst

senior data analyst

clinical data analyst

data analyst (marketing)

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

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)

Eplanet Global

Data Entry / Video Annotation AssociateLocation: Bahadurabad, KarachiResponsibilities:Perform data entry and back-office operations Video annotation tasks (preferred experience) Work in rotational shifts 5 working days per week (weekly offs on weekdays)Requirements:Basic English communication skills Experience in Data Entry, Back Office, or Video Annotation Good command of MS Office Flexible to work in rotational shiftsSalary: 32K + Performance Bonus (up to 10K)Send your resume at wajiha.hayat@eplanetglobal.com by mentioning the position inPay: Rs42,000.00 per monthWork Location: In person

Data Entry / Video Annotation Associate

Firm Tech Services

Key Responsibilities<ul><li>Manage and maintain the POS system across all retail outlets.</li><li>Create, update, and deactivate products (SKUs) in the POS system.</li><li>Ensure accurate product pricing, promotions, discounts, and tax configurations.</li><li>Coordinate with the merchandising and inventory teams to ensure product availability in the POS.</li><li>Resolve POS-related issues reported by stores and provide timely support.</li><li>Monitor POS transactions to ensure data accuracy and system integrity.</li><li>Generate daily, weekly, and monthly sales and transaction reports.</li><li>Coordinate with the Finance Department to reconcile sales data.</li><li>Manage user accounts, access rights, and permissions within the POS system.</li><li>Ensure proper synchronization between POS, ERP, and inventory systems.</li><li>Test and implement new POS features, updates, and system enhancements.</li><li>Train store staff on POS operations and standard procedures.</li><li>Maintain proper documentation of system changes, user requests, and issue logs.</li><li>Ensure compliance with company policies regarding sales transactions and data security.</li><li>Coordinate with the IT Department for hardware and software troubleshooting.</li></ul>Qualifications<ul><li>Bachelor's degree in Business Administration, Commerce, Computer Science, Information Technology, or a related field.</li><li>2&ndash;4 years of experience in POS operations, retail operations, or ERP support.</li><li>Experience in the retail or garments industry will be preferred.</li></ul>Pay: From Rs35,000.00 per monthWork Location: In person

POS Officer

foodpanda

<div>
 foodpanda is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 
 
 
 Job Description
 
 
 
 We are seeking a highly analytical and results-driven individual to join our regional logistics team as a Senior Specialist, Performance (Courier Pricing).
 
 
 In this role, you will play a critical part in designing, analyzing, and optimizing rider payment and incentive strategies across our 16 diverse markets. Acting as the bridge between high-level business goals and on-the-ground operational reality, you will treat rider incentives as a key operational lever. You will use data-driven insights to improve rider earnings, enhance fleet satisfaction, and drive overall logistics performance while ensuring financial sustainability.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Incentive Strategy &amp; Governance: Define and optimize rider payment and incentive models. Develop frameworks to harmonize incentive strategies across diverse markets while allowing for necessary local adaptations, maintaining consistency and financial discipline. Ensure payment models align with broader business goals, logistics performance KPIs (e.g., delivery time), and rider satisfaction.
 </li>
 <li>
 Financial Impact &amp; Cost Efficiency: Continuously evaluate the financial impact of payment models and monitor cost-per-order (CPO) trends. Ensure incentive structures align with broader profitability targets while maintaining sufficient rider supply and fleet retention.
 </li>
 <li>
 Data Analysis &amp; Insights: Dive deep into large datasets to identify trends, inefficiencies, and areas for improvement in rider payments and logistics operations. Translate complex data into actionable strategic recommendations.
 </li>
 <li>
 Rollout of Models &amp; Automation: Execute and drive the regional implementation of advanced data science models and automated tools tailored to rider payments and operational efficiency.
 </li>
 <li>
 Initiative Rollout &amp; Innovation: Challenge the status quo by introducing innovative techniques to enhance rider payment systems. Support the testing and rollout of strategic initiatives and new pay components (e.g., dynamic pricing, surge models, quest incentives) aimed at improving logistics performance and order acceptance rates.
 </li>
 <li>
 Product Collaboration: Partner with the Delivery Hero&rsquo;s Central Product team to influence the development of payment-related features. You will translate business requirements into product requests, participate in testing, and ensure the successful adoption of new product capabilities across the region.
 </li>
 <li>
 Stakeholder Management &amp; Market Partnership: Work closely with operations, finance, product, and local logistics stakeholders. Build strong relationships with market teams to understand their unique challenges, implement refined incentive structures, and drive scalable solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Experience: 3+ years of professional experience in high-growth tech, logistics, strategy consulting, or investment banking. Experience specifically in the gig-economy, marketplace dynamics, or logistics is a strong plus.
 </li>
 <li>
 Education: University degree in STEM, Economics, Business, or a related quantitative field.
 </li>
 <li>
 Technical Fluency: Proficiency in Excel, SQL, and Looker is required to independently dive into the data, uncover insights, and build robust models.
 </li>
 <li>
 Communication: Exceptional English communication skills, both written and spoken. You are comfortable effectively challenging the status quo, and negotiating with senior stakeholders and leadership.
 </li>
 </ul>
</div>

Senior Specialist, Performance (Courier Pricing)

Albi

<div>
 
 Albi (albiware.com) a fast-growing SaaS company on a mission to propel the restoration industry forward by empowering restoration companies with the technology they need to scale and grow their businesses.
 
 
 As our customer base continues to grow, we are expanding our global support organization to ensure customers receive reliable, timely, and high-quality technical support.
 
 
 We are looking for a
 
 Support Engineer
 
 to join our Karachi-based team. This is an
 
 entry-level engineering role
 
 that works closely with Support Specialists and senior engineers to
 
 troubleshoot, fix, and resolve customer issues
 
 . You will work directly on production-impacting problems, contributing code fixes, data corrections, and configuration changes under established processes and guidance.
 
 
 This position supports
 
 U.S. business hours, from 9 am to 5 pm Central Standard Time.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Partner with Support Specialists to investigate, troubleshoot,
 
 fix
 
 , and resolve customer-reported technical issues.
 </li>
 <li>
 Diagnose root causes by analyzing application behavior, logs, and data.
 </li>
 <li>
 Implement
 
 code fixes in .NET-based applications
 
 for well-scoped, low-to-medium complexity issues, following established development and deployment processes.
 </li>
 <li>
 Write and execute
 
 SQL queries
 
 , including safe
 
 bulk operations
 
 (updates/inserts) to correct data issues when required.
 </li>
 <li>
 Reproduce issues in lower environments and validate fixes before deployment.
 </li>
 <li>
 Own assigned support cases end-to-end, ensuring timely communication, proper resolution, and post-fix validation.
 </li>
 <li>
 Escalate complex or high-risk issues to senior engineers with clear analysis and proposed solutions.
 </li>
 <li>
 Collaborate with engineering and QA teams to ensure fixes are properly tested and released.
 </li>
 <li>
 Document fixes, root causes, and preventive steps in internal knowledge bases.
 </li>
 <li>
 Participate in shift handovers to ensure continuity across time zones.
 </li>
 <li>
 Continuously build technical expertise in the product, platform, and support tooling
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 
 2+years of professional experience
 
 in technical support, application support, or software engineering.
 </li>
 <li>
 Working knowledge of
 
 .NET / C#
 
 , including debugging, fixing bugs, and understanding application flow.
 </li>
 <li>
 Strong
 
 SQL skills
 
 , including:
 </li>
 <ul>
 <li>
 Writing queries with joins and filters
 </li>
 <li>
 Data analysis and validation
 </li>
 <li>
 Experience or exposure to
 
 bulk operations
 
 with attention to safety and data integrity
 </li>
 </ul>
 <li>
 Solid troubleshooting and analytical problem-solving skills.
 </li>
 <li>
 Strong sense of
 
 ownership and accountability
 
 for customer-impacting issues.
 </li>
 <li>
 Good written and verbal
 
 communication skills
 
 in English.
 </li>
 <li>
 Ability to work responsibly with production systems and follow change-management processes.
 </li>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience contributing bug fixes in a production environment.
 </li>
 <li>
 Familiarity with REST APIs and debugging API-related issues.
 </li>
 <li>
 Exposure to CI/CD pipelines and code review processes.
 </li>
 <li>
 Experience with ticketing systems (Zendesk, Jira, Freshdesk).
 </li>
 <li>
 Basic understanding of cloud platforms (Azure preferred).
 </li>
 <li>
 Prior SaaS or customer-facing technical experience.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 We're driven by purpose, fueled by high energy, and committed to helping our people grow.
 
 
 We offer:
 
 <ul>
 <li>
 Competitive salary aligned with the Karachi market
 </li>
 <li>
 Paid time off and company holidays
 </li>
 <li>
 Medical insurance coverage
 </li>
 <li>
 Real ownership of production issues and meaningful technical work
 </li>
 <li>
 Mentorship from experienced engineers
 </li>
 <li>
 Clear career progression
 </li>
 <li>
 Supportive, collaborative team culture
 </li>
 <li>
 Stable work schedule aligned with U.S. business needs
 </li>
 </ul>
 
 Your growth matters to us. We provide hands-on experience, trust, and support to help you develop into a strong engineer while making a real impact for our customers.
 
</div>

Support Engineer - .NET

Befiler (Pvt) Limited

Arittek Solution is looking for Digital Sales &amp; Lead Generation SpecialistRequirements:*Bachelor's degree in Marketing, Business Administration, Communications, or a related field*1 year of experience in a relevant fieldqProven experience in B2B lead generation.*Strong knowledge of LinkedIn, Google, Meta, email outreach, and other digital acquisition channels.*Data-driven mindset with the ability to analyze and improve campaign performance. *Excellent communication, research, and prospecting skills.*Experience with CRM and lead management tools is an advantage.*Research target markets, companies, and decision-makers*Track campaign performance and optimize strategies based on data.*Location: DHA Phase 6, KarachiWork Location: In person

Digital Sales & Lead Generation Specialist

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