Data Management & Analytics Specialist
Lahore, Punjab, Pakistan
- Pay
- Salary not listed in the saved posting
- Work setup
Hybrid stated — work setup source
Data Management & Analytics Specialist Location: Lahore / Karachi / Islamabad, Pakistan Job Type: Full-Time Work Model: Hybrid Experience: 5–8 Years Job Summary
Read the full posting- Employment
Full-time — employment source
Data Management & Analytics Specialist Location: Lahore / Karachi / Islamabad, Pakistan Job Type: Full-Time Work Model: Hybrid Experience: 5–8 Years Job Summary
Read the full posting
What you’ll work on
Full postingSupport end-to-end data management and data lifecycle activities.
Design and implement data ingestion and integration solutions using Microsoft Fabric.
Develop and maintain data processing, transformation, and integration pipelines using Databricks.
From the employer’s posting
Key Responsibilities Support end-to-end data management and data lifecycle activities. Design and implement data ingestion and integration solutions using Microsoft Fabric.
Support end-to-end data management and data lifecycle activities. Design and implement data ingestion and integration solutions using Microsoft Fabric. Develop and maintain data processing, transformation, and integration pipelines using Databricks.
Design and implement data ingestion and integration solutions using Microsoft Fabric. Develop and maintain data processing, transformation, and integration pipelines using Databricks. Develop interactive Power BI dashboards, reports, and analytical solutions.
What you’ll bring
All qualificationsCore experience
- 5–8 years of professional experience in Data Management, Data Engineering, Business Intelligence, Analytics, or a related field.
- Strong experience with Databricks for data processing and transformation.
- Experience with data modeling, including logical and physical data models.
- Experience with erwin or similar enterprise data modeling tools.
- Strong SQL skills and understanding of relational databases.
- Good understanding of ETL/ELT, data integration, data quality, metadata, lineage, and data lifecycle management.
Preferred experience
- Experience with Azure data and analytics services.
- Experience implementing enterprise data management or governance initiatives.
- Knowledge of data architecture and enterprise data platforms.
- Experience with data quality frameworks and data governance practices.
Qualification wording
5–8 years of professional experience in Data Management, Data Engineering, Business Intelligence, Analytics, or a related field.
Strong experience with Databricks for data processing and transformation.
Experience with data modeling, including logical and physical data models.
Experience with erwin or similar enterprise data modeling tools.
Strong SQL skills and understanding of relational databases.
Good understanding of ETL/ELT, data integration, data quality, metadata, lineage, and data lifecycle management.
Experience with Azure data and analytics services.
Experience implementing enterprise data management or governance initiatives.
Knowledge of data architecture and enterprise data platforms.
Experience with data quality frameworks and data governance practices.
Tools in this posting
- SQL
- Azure
- Databricks
- Power BI
Source — Tool mentions in context
- Working knowledge of Microsoft Purview and data governance concepts. - Strong SQL skills and understanding of relational databases. - Good understanding of ETL/ELT, data integration, data quality, metadata, lineage, and data lifecycle management.
Core Skills Microsoft Fabric | Databricks | Power BI | Microsoft Purview | erwin | Data Management | Data Engineering | Data Modeling | Data Governance | Data Quality | Data Integration | ETL/ELT | SQL | Metadata Management | Data Lineage | Business Intelligence | Data Analytics
Preferred Qualifications - Experience with Azure data and analytics services. - Experience implementing enterprise data management or governance initiatives.
Job Summary We are seeking a Data Management & Analytics Specialist to support enterprise data management, data integration, data engineering, business intelligence, data modeling, and data governance activities. The ideal candidate will have hands-on experience with Microsoft Fabric, Databricks, Power BI, Microsoft Purview, and data modeling tools such as erwin. The role requires strong technical and analytical capabilities, along with the ability to work with business and technical stakeholders to deliver high-quality, governed, and analytics-ready data.
- Design and implement data ingestion and integration solutions using Microsoft Fabric. - Develop and maintain data processing, transformation, and integration pipelines using Databricks. - Develop interactive Power BI dashboards, reports, and analytical solutions.
- Strong hands-on experience with Microsoft Fabric. - Strong experience with Databricks for data processing and transformation. - Strong hands-on experience with Power BI.
- Experience with data quality frameworks and data governance practices. - Relevant Microsoft, Databricks, or data management certifications. Core Skills
- Develop and maintain data processing, transformation, and integration pipelines using Databricks. - Develop interactive Power BI dashboards, reports, and analytical solutions. - Design, document, and maintain logical and physical data models using erwin or equivalent data modeling tools.
- Strong experience with Databricks for data processing and transformation. - Strong hands-on experience with Power BI. - Experience with data modeling, including logical and physical data models.
Job description
Location: Lahore / Karachi / Islamabad, Pakistan
Job Type: Full-Time
Work Model: Hybrid
Experience: 5–8 Years
Job Summary
We are seeking a Data Management & Analytics Specialist to support enterprise data management, data integration, data engineering, business intelligence, data modeling, and data governance activities. The ideal candidate will have hands-on experience with Microsoft Fabric, Databricks, Power BI, Microsoft Purview, and data modeling tools such as erwin.
The role requires strong technical and analytical capabilities, along with the ability to work with business and technical stakeholders to deliver high-quality, governed, and analytics-ready data.
Key Responsibilities
- Support end-to-end data management and data lifecycle activities.
- Design and implement data ingestion and integration solutions using Microsoft Fabric.
- Develop and maintain data processing, transformation, and integration pipelines using Databricks.
- Develop interactive Power BI dashboards, reports, and analytical solutions.
- Design, document, and maintain logical and physical data models using erwin or equivalent data modeling tools.
- Support Microsoft Purview activities including data cataloging, metadata management, data lineage, and governance.
- Monitor and improve data quality, completeness, consistency, accuracy, and availability.
- Identify and resolve data issues across source systems and data platforms.
- Ensure data is appropriately structured, documented, governed, and available for reporting and analytics.
- Collaborate with business users, data teams, architects, and technology stakeholders to understand and deliver data requirements.
- Contribute to data management standards, documentation, and continuous improvement initiatives.
- Support data governance, compliance, and reporting requirements as needed.
Required Qualifications
- 5–8 years of professional experience in Data Management, Data Engineering, Business Intelligence, Analytics, or a related field.
- Strong hands-on experience with Microsoft Fabric.
- Strong experience with Databricks for data processing and transformation.
- Strong hands-on experience with Power BI.
- Experience with data modeling, including logical and physical data models.
- Experience with erwin or similar enterprise data modeling tools.
- Working knowledge of Microsoft Purview and data governance concepts.
- Strong SQL skills and understanding of relational databases.
- Good understanding of ETL/ELT, data integration, data quality, metadata, lineage, and data lifecycle management.
- Strong analytical, problem-solving, and troubleshooting skills.
- Good communication and stakeholder management skills.
- Ability to work effectively in a hybrid, international, and client-facing environment.
Preferred Qualifications
- Experience with Azure data and analytics services.
- Experience implementing enterprise data management or governance initiatives.
- Knowledge of data architecture and enterprise data platforms.
- Experience with data quality frameworks and data governance practices.
- Relevant Microsoft, Databricks, or data management certifications.
Core Skills
Microsoft Fabric | Databricks | Power BI | Microsoft Purview | erwin | Data Management | Data Engineering | Data Modeling | Data Governance | Data Quality | Data Integration | ETL/ELT | SQL | Metadata Management | Data Lineage | Business Intelligence | Data Analytics
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Lahore, Punjab, Pakistan
Data Management & Analytics Specialist Location: Lahore / Karachi / Islamabad, Pakistan Job Type: Full-Time Work Model: Hybrid Experience: 5–8 Years Job Summary
More source context
- Good communication and stakeholder management skills. - Ability to work effectively in a hybrid, international, and client-facing environment. Preferred Qualifications
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 4, 2026
- Recorded sightings
- 81
- Last seen by us
- Sep 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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