Data Analyst

This role requires a skilled professional with a strong background in data engineering, statistical analysis, and business intelligence within both public and private sectors. The ideal candidate will be responsible for managing data ingestion, transformation, and validation processes, supporting data architecture for analytics, and developing insightful dashboards and reports to aid decision-making at senior leadership levels. The position demands expertise in handling structured and unstructured data, ensuring data quality and governance, and applying statistical tools to identify trends, anomalies, and performance metrics across various operational domains.

Key Responsibilities

- Data Engineering (Operational Level): Manage data ingestion from multiple operational systems, perform structured and unstructured data transformation (ETL-lite support), and conduct data cleaning, validation, deduplication, and normalization. Coordinate data pipelines with system teams to ensure seamless data flow.

- Data Architecture Support (Non-system design level): Structure datasets for analytics consumption, logically group datasets to support KPIs and dashboards, and categorize data in alignment with monitoring domains.

- Statistical & Analytical Processing: Conduct trend analysis, time-series evaluation, pattern detection, anomaly identification, and comparative performance analysis across departments and districts. Identify risk signals from operational datasets to support proactive decision-making.

- Business Intelligence (BI) Layer: Develop dashboards using Power BI, Tableau, or equivalent tools. Design KPI visualization frameworks for real-time and periodic reporting. Create executive reporting dashboards tailored for senior leadership review.

- Performance Monitoring Layer: Implement KPI tracking systems aligned with Business Requirements Document (BRD) definitions. Monitor Service Level Agreements (SLA) for service delivery indicators and track compliance metrics across enforcement domains.

- Data Quality & Governance: Perform data consistency checks across sources and establish data accuracy validation frameworks. Standardize reporting formats across departments to maintain uniformity and reliability.

Required Qualifications

- Bachelor’s degree (Hons) in Information Technology, Computer Science, Data Science, Statistics, Software Engineering, or a related field from an HEC-recognized university.

- Minimum of 5 years of relevant post-qualification experience, including at least one year working within the public sector.

- Proficiency in statistical analysis and tools such as SPSS, Power BI, and Microsoft Office suite.

Preferred Qualifications and Benefits

While not explicitly stated, candidates with advanced skills in statistical tools and experience in public sector data environments will be well-positioned for success in this role. The opportunity offers engagement with cross-functional teams and exposure to high-impact projects involving data-driven decision-making and governance.

Applications are encouraged before the closing date of 29th October 2026.

Job Details

Total Positions:

1 Post

Job Shift:

First Shift (Day)

Job Type:

Contract

Job Location:

Lahore, Pakistan

Gender:

No Preference

Age:

18 - 65 Years

Minimum Education:

Master

Degree Title:

Masters/Bachelors (Hons) (16 years), 16 Years of Education, Computer Engineering/Sciences, Computer Networks, Information Technology, Data science, Software Engineering, Software Engineering 1

Career Level:

Mid-Level

Experience:

10 Years - 13 Years

Apply Before:

Oct 21, 2026

Posting Date:

Oct 15, 2026