What Jobs are available for Data Management Techniques in Pakistan?
Showing 36 Data Management Techniques jobs in Pakistan
Data Architecture
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Job title: Data Architect
- Location: Hyderabad
Opella is the self-care challenger with the purest and third-largest portfolio in the Over-The-Counter (OTC) & Vitamins, Minerals & Supplements (VMS) market globally.
Our mission is to bring health in people's hands by making self-care as simple as it should be. For half a billion consumers worldwide – and counting.
At the core of this mission is our 100 loved brands, our 11,000-strong global team, our 13 best-in-class manufacturing sites and 4 specialized science and innovation development centers. Headquartered in France, Opella is the proud maker of many of the world's most loved brands, including Allegra, Buscopan, Doliprane, Dulcolax, Enterogermina, Essentiale and Mucosolvan.
B Corp certified in multiple markets, we are active players in the journey towards healthier people and planet. Find out more about our mission at
.
About the job:
We are seeking a strategic and detail-oriented Retail Data Architect / Data Modeler to drive the design and governance of scalable, high-performing data models that power retail insights across our global business. This role is critical to enabling data-driven decision-making across domains such as sales, pricing, inventory, POS, eCommerce, promotions, and supply chain.
He/She will collaborate cross-functionally with data engineers, analysts, and global business stakeholders to ensure our data assets are well-structured, governed, and aligned with corporate objectives. You will also be a key contributor to Opella's enterprise data governance strategy — maintaining strong documentation, lineage, and stewardship standards.
Main responsibilities:
Lead the design and standardization of enterprise data models across core retail and CPG domains, including pricing, sales, inventory, promotions, loyalty, POS, and eCommerce — ensuring models are scalable, governed, and aligned with global analytics strategies.
- Define and evolve dimensional, star, and Data Vault schema architectures to support self-service analytics, Retail/CPG KPI tracking, and cross-functional reporting across business units and markets.
- Serve as the data modeling authority for retail and CPG analytics, promoting semantic consistency, harmonized definitions, and reusability across Opella's global functions, affiliates, and syndicated data partners.
- Collaborate with global commercial, supply chain, and finance teams to translate complex business KPIs and performance metrics into formalized data structures, canonical views, and shared metadata.
- Establish and maintain logical and physical data models, reference architectures, and enterprise-wide semantic layers to support consumption by BI tools, data products, and AI/ML applications.
- Contribute to and enforce data governance best practices, including data dictionary maintenance, lineage tracking, model documentation, and coordination with data stewards across regions.
- Oversee model lifecycle management, version control, and change impact analysis for high-priority subject areas within the retail and CPG data landscape.
- Partner with data platform and engineering teams to ensure architectural patterns are implemented with performance, scale, and maintainability in mind — without directly owning pipeline development.
- Act as a strategic advisor on data architecture decisions, guiding alignment across Opella's evolving ecosystem of data products, global platforms, and business initiatives.
About you:
- Must have 6-10 years of experience in data architecture, data modeling, or analytics engineering, ideally in retail or CPG sectors.
- Expertise in building ELT pipelines and semantic layers using DBT and Snowflake.
- Strong foundation in dimensional modeling, data warehousing, and schema design for large-scale analytics.
- Proven experience in implementing and enforcing enterprise data governance frameworks.
- Strong SQL and experience with retail datasets such as sales, pricing, POS, inventory, and loyalty.
Ability to work with global, cross-functional teams in a matrixed environment.
Exposure to data mesh, data product thinking, or domain-oriented data architectures.
- Understanding of retailer-syndicated data (IRI, Nielsen, Circana, etc.).
Preferred Education
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
- A Master's degree or cloud certifications (e.g., SnowPro, AWS Data Analytics) is a plus.
Why us?
At Opella, you will enjoy doing challenging, purposeful work, empowered to develop consumer brands with passion and creativity. This is your chance to grow new skills and be part of a bold, collaborative, and inclusive culture where people can thrive and be at their best every day.
We Are Challengers.
We are dedicated to making self-care as simple as it should be. That starts with our culture. We are challengers by nature, and this is how we do things:
All In Together: We keep each other honest and have each other's backs.
Courageous: We break boundaries and take thoughtful risks with creativity.
Outcome-Obsessed: We are personally accountable, driving sustainable impact and results with integrity.
Radically Simple: We strive to make things simple for us and simple for consumers, as it should be.
Join us on our mission. Health. In your hands.
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Cloud & Data Architecture Engineer
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Cloud & Data Architecture EngineerRole Purpose:
As a Cloud & Data Architecture Engineer, you will design, optimize, and maintain GAIA's Azure-hosted architecture. Your goal will be to ensure scalability, reliability, and seamless integration of geospatial and machine learning workflows across the organization.
Key Responsibilities:
- Conduct a full audit of GAIA's current data pipelines to identify inefficiencies and performance bottlenecks.
- Architect and implement scalable, cloud-native solutions for satellite image ingestion, storage, and processing.
- Ensure high availability, cost efficiency, and performance optimization of cloud systems.
- Research and integrate emerging big data and geospatial architecture technologies into GAIA's workflows.
- Work closely with DevOps and engineering teams to implement CI/CD pipelines and infrastructure-as-code practices.
Required Skills & Experience:
- Expertise with Azure (preferred), with additional experience in AWS or GCP.
- Strong understanding of distributed computing frameworks and scalable data pipelines.
- Experience in building architectures for geospatial systems and ML/AI integration.
- Solid knowledge of DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and monitoring tools.
- Ability to evaluate and implement cutting-edge cloud and data architecture strategies.
3. Computer Vision & Machine Learning EngineerRole Purpose:
As a CV/ML Engineer, you will develop and deploy state-of-the-art machine learning models for detecting whales in satellite imagery. Leveraging transfer learning and custom computer vision architectures, you will transform prototypes into production-ready systems that advance GAIA's environmental monitoring mission.Key Responsibilities:
- Evaluate and benchmark pretrained models for object detection on satellite imagery datasets.
- Apply transfer learning, semi-supervised learning, and advanced data augmentation to improve accuracy on limited datasets.
- Design and train custom computer vision architectures in PyTorch or TensorFlow.
- Generate and integrate synthetic datasets to enhance model robustness.
- Build end-to-end workflows from model development to deployment and monitoring in production.
- Collaborate with geospatial and atmospheric correction teams to ensure seamless integration of ML outputs.
Required Skills & Experience:
- Strong expertise in computer vision, deep learning, and object detection techniques.
- Hands-on experience with PyTorch and/or TensorFlow for model training and deployment.
- Familiarity with satellite imagery analysis and geospatial data formats.
- Experience in synthetic data generation and augmentation strategies.
- Ability to transition ML models from research prototypes into production-ready systems.
Compensation & Benefits
This is an independent contractor role. We offer:
- Competitive, market-based compensation aligned with expertise and experience.
- Remote and flexible working arrangements.
- Opportunities for long-term collaboration on advanced geospatial and AI-driven projects.
- Exposure to cutting-edge cloud and big data technologies in Azure, AWS, and GCP environments.
- A chance to shape the future of GAIA's cloud and data architecture strategy.
Job Type: Contract
Work Location: Remote
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Senior Data Quality
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Senior Data QA and Resporting Analyst
Location: Islamabad (Blue Area)
Time: 12pm to 9pm
Budget: 250k
company: Kemat Consulting Limited
Exp required: Data Validation,testing of business intelligence (BI) tools, issue lifecycle management
Key responsibilities:
Test data dashboards.
Utilizing testing frameworks.
Indentify, document, and report defects using tools such as Azure Devops, ensure clear reproduction steps and impact assessment.
Manage bug lifecycle
provide clear QA reports and dashboard to stakeholders.
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Data Quality Manager
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Company Description
C-Vision International is a global events and advisory firm dedicated to bringing together leading visionaries for peer-to-peer collaboration in an exclusive environment. Our councils focus on addressing critical business challenges by delivering the best applied sciences aimed at changing the world. We are committed to helping you build your company's future today, not tomorrow.
Role Description
This is a full-time remote role for a Data Quality Manager. The Data Quality Manager will be responsible for developing and maintaining data quality standards, implementing data governance policies, and managing data management practices. The role involves conducting data analysis, ensuring data accuracy, and working closely with cross-functional teams to improve data quality and compliance. The Data Quality Manager will also develop and enforce strategies to enhance data reliability and value.
Qualifications
- Skills in Data Quality, Data Governance, and Data Management
- Strong Analytical Skills and experience in Data Analytics
- Excellent problem-solving and critical-thinking abilities
- Proficiency in data analysis tools and software
- Strong written and verbal communication skills
- Ability to work independently and collaboratively in a remote environment
- Bachelor's degree in Computer Science, Information Systems, or related field
- Experience in the events and advisory sector is a plus
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Data Quality Assurance Executive
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Job Description ;
- Thorough understanding of the SOPs (Standard Operating Procedures) and related fieldwork standards.
- Ensure the overall quality and integrity of the data collected as per client standards.
- Be unbiased, process-driven driven and able to document outcomes accurately and objectively.
- Provide an accurate measure of the Interviewer's performance and effectiveness.
- Ensure that QC deliverables meet quality standards and project requirements.
- Align stakeholders on KPIs for tracking and non-tracking projects.
- This role involves working with different departments and as part of a team, so excellent interpersonal and communication skills are important to work effectively with others.
- Able to meet deadlines and follow up on action items.
- Identify and address data and/or project concerns while fieldwork is ongoing.
- Confirm that data is collected in accordance with project requirements.
- Able to conduct data quality analysis on the project.
- Efficient use of various internal digital platforms .
Qualification & Experience :
- 2 years of experience in market research/data analysis.
- Bachelor's in Mathematics, Statistics, Economics, Business Administration .
- Basic knowledge of statistical tools and techniques.
- Strong communication skills.
- Experience in project management and field interviewing.
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Data Quality Assurance Executive
Posted today
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Job Description
Job Description:
- Thorough understanding of the SOPs (Standard Operating Procedures) and related fieldwork standards
- Ensure the overall quality and integrity of the data collected as per client standards
- Be unbiased, process-driven driven and able to document outcomes accurately and objectively
- Provide an accurate measure of the Interviewer's performance and effectiveness
- Ensure that QC deliverables meet quality standards and project requirements
- Align stakeholders on KPIs for tracking and non-tracking projects
- This role involves working with different departments and as part of a team, so excellent interpersonal and communication skills are important to work effectively with others
- Able to meet deadlines and follow up on action items
- Identify and address data and/or project concerns while fieldwork is ongoing
- Confirm that data is collected in accordance with project requirements
- Able to conduct data quality analysis on the project
- Efficient use of various internal digital platforms
Qualification & Experience:
- 2 years of experience in market research/data analysis
- Bachelor's in mathematics, Statistics, Economics, Business Administration
- Basic knowledge of statistical tools and techniques
- Strong communication skills
- Experience in project management and field interviewing
Job Type: Full-time
Education:
- Bachelor's (Required)
Experience:
- Data Quality Assurance: 2 years (Required)
Location:
- Pakistan (Required)
Work Location: Remote
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Data Quality Assurance Executive
Posted 1 day ago
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Job Description
Job Description ;
- Thorough understanding of the SOPs (Standard Operating Procedures) and related fieldwork standards
- Ensure the overall quality and integrity of the data collected as per client standards
- Be unbiased, process-driven driven and able to document outcomes accurately and objectively
- Provide an accurate measure of the Interviewer's performance and effectiveness
- Ensure that QC deliverables meet quality standards and project requirements
- Align stakeholders on KPIs for tracking and non-tracking projects
- This role involves working with different departments and as part of a team, so excellent interpersonal and communication skills are important to work effectively with others
- Able to meet deadlines and follow up on action items
- Identify and address data and/or project concerns while fieldwork is ongoing
- Confirm that data is collected in accordance with project requirements
- Able to conduct data quality analysis on the project
- Efficient use of various internal digital platforms
Qualification & Experience :
- 2 years of experience in market research/data analysis
- Bachelor's in Mathematics, Statistics, Economics, Business Administration
- Basic knowledge of statistical tools and techniques
- Strong communication skills
- Experience in project management and field interviewing
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Data Governance Analyst
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Location | Remote (Pakistan)
Experience | 3 to 6 Years
Key Responsibilities:
- Define, document, and maintain data quality rules and standards.
- Create and store Master data for company wide access.
- Develop and monitor data quality scorecards and dashboards to measure and track data health in Power BI.
- Conduct data profiling, validation, and cleansing to ensure accuracy, completeness, and consistency using Microsoft Purview and Presto (SQL) in Athena.
- Apply data modeling best practices to design and validate logical and physical data structures.
- Build data lineage using Data Governance tools (Microsoft Purview) for impact analysis.
- Leverage Erwin Data Modeler (or similar tools) to document, maintain, and optimize enterprise data models.
- Build ETL pipelines in AWS Glue using Python to support Data Quality and Governance projects.
- Ensure consistency and accuracy of data across multiple platforms.
- Build strategies for deciding Systems of Records and establishing sync between systems.
Required Skills:
- Strong understanding of Data Quality, Data Governance, and Master Data Management principles.
- Strong Proficiency in SQL for data querying and validation.
- Hands-on experience with Erwin Data Modeler (preferred) or similar data modeling tools.
- Hands-on experience with AWS – Athena, Glue, S3
- Experience with Data Governance and Data Quality tools (e.g., Microsoft Purview – preferred, AWS Data Zone, Talend, Collibra, or equivalent).
- Experienced in Power BI, Power BI Dataflows, Power Query (Power Apps is a plus)
- Knowledge of ETL pipeline development and processes, data warehousing, and database systems.
- Background of data analytics and business intelligence
- Analytical mindset with excellent problem-solving and attention to detail.
- Strong communication skills to interact with both technical and non-technical stakeholders.
Good to have skills:
- Hands-on experience with Microsoft Purview
- Understanding of Yardi and Salesforce databases
- PowerApps
Job Type: Full-time
Work Location: Remote
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Data Entry Quality Check
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Job Description
We are hiring a Quality Checker to review and validate data submissions. The role requires careful attention to detail and consistency in evaluating entries.
Requirements:
- A personal laptop/computer.
- Good internet connection.
- Electricity backup.
- 8 hours of your time daily.
- Sunday is off.
- Strong attention to detail.
- Ability to work efficiently and meet daily targets.
- Basic computer and internet skills.
- Reliable, disciplined, and able to follow instructions.
Key Responsibilities:
- Review data of kids and classify each submission as Good or Bad.
- Double-check all data for accuracy and completeness.
- Verify submission time stamps for each entry.
- Prepare and share daily reports on checked submissions.
- Meet daily targets: minimum of 500 submissions per day (each takes less than 30 seconds).
Job Details:
- Type: Remote work (interviews are held in-person).
- Nature: Target-based role.
- Workload: At least 500 submissions checked per day.
Job Type: Full-time
Pay: Up to Rs30,000.00 per month
Work Location: Remote
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Data Governance and Interoperability
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Job Description
We are hiring for our prestigious client, the
Ministry of National Food Security & Research (MNFSR), Government of Pakistan
, which is seeking a highly skilled professional to join its team as a Specialist in Data Governance and Interoperability (SPPS-III).
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