Data & Business Intelligence Analyst (Founding Role)

Position Title: Data & Business Intelligence Analyst (Founding Role)

Organisation: Legal Aid Society Pakistan
Location: Karachi, Pakistan (Office-based)
Employment Type: Full-time
Reporting Line: Monitoring, Evaluation & Learning (MEL)

About Legal Aid Society

Legal Aid Society (LAS) is Pakistan’s leading non-profit organisation providing free legal services to the country’s most vulnerable communities. We manage thousands of cases annually across criminal defence, family law, and civil rights, ensuring access to justice for individuals who cannot afford legal representation.

LAS is entering a major technology and data transformation phase. Our data currently exists across spreadsheets, case management systems, paper files, and disconnected databases. We are hiring our first dedicated data professional to build the foundation for data-driven decision-making across the organisation.

Job Summary:

We are seeking a founding Data & Business Intelligence Analyst to build LAS’s first centralised data infrastructure from the ground up. In this role, you will design and implement reliable reporting systems, establish data practices, and ensure high-quality, actionable insights that drive leadership decisions, donor reporting, resource allocation, and programme effectiveness. This is a high-autonomy position with significant impact and the potential to evolve into a team lead role as our data capabilities expand.

Key Responsibilities

Data Infrastructure & Architecture

• Design and implement LAS’s first centralised data infrastructure
• Consolidate data from multiple sources (ERP, CMS, CRM, spreadsheets) into a unified system
• Build and maintain databases, ETL pipelines, and data warehouses
• Ensure data security, backups, and basic disaster recovery protocols

Reporting & Business Intelligence

• Develop dashboards and reports for leadership and programme teams
• Define and implement KPI frameworks for case management, operations, and impact
• Create donor-facing impact reports and grant reporting dashboards
• Enable self-service analytics for non-technical users where feasible

Data Quality & Governance

• Address data duplication, inconsistency, and accuracy issues
• Define data quality standards, validation rules, and monitoring processes
• Create and maintain data documentation and data dictionaries
• Establish data entry standards and train staff on best practices

Stakeholder Collaboration

• Work closely with programme, operations, and leadership teams to define meaningful metrics
• Translate analytical findings into clear, actionable insights
• Build basic data literacy across teams through training and support
• Provide ad-hoc analysis for planning, strategy, and donor requirements

Required Qualifications

Experience

• 3–5 years of experience in data analysis, business intelligence, or related roles
• Proven experience building reporting systems or data infrastructure
• Demonstrated success working with messy, fragmented, or low-quality data

Technical Skills

• Strong SQL skills (complex JOINs, CTEs, window functions)
• Experience with at least one BI or data visualisation tool (Power BI, Tableau, Metabase, or similar)
• Hands-on experience with data cleaning, transformation, and ETL processes
• Solid understanding of relational databases and data modelling

Soft Skills

• Self-starter mindset with comfort working independently
• Strong communication skills for non-technical audiences
• Structured problem-solving approach and attention to detail
• Collaborative attitude and willingness to train others

Language

• Fluency in English and Urdu (written and verbal)

Preferred (Not Mandatory)

• Experience with PostgreSQL or similar databases
• Python for data analysis (pandas, numpy)
• Familiarity with dbt or modern data transformation tools
• Experience with open-source BI tools (Metabase, Apache Superset)
• Background in non-profit, legal, or development sector organisations
• Exposure to cloud platforms (AWS, GCP, Azure)
• Understanding of data privacy and protection principles

Apply here: https://erp.las.org.pk/job-detail/38

As part of the application, please upload:

• Your updated CV
• A brief cover letter (maximum 200 words)

In your cover letter, please answer the following question:

“How would you approach consolidating data from 5+ disconnected sources into one reliable system in an organisation with no existing data infrastructure?”

Application Deadline: 21st January 2026
Applications will be reviewed on a rolling basis. Early applications are encouraged.

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