Lead Business Analyst – Data Management & Analytics | Linnk Group | Riyadh, Saudi Arabia

Linnk Group; Riyadh; On-site; SAR 250,000 - 350,000; Full time

Job summary

Linnk Group is seeking a Lead Business Analyst specialized in Data Management & Analytics to drive critical data initiatives for a major banking client in Riyadh. You will own the data lifecycle, govern data assets, and deliver KPI dashboards using Power BI or Tableau.

This yearly renewable contract role requires 5+ years in business analysis, strong SQL, data warehousing knowledge, and the ability to align regulatory standards like NDMO and PDPL with enterprise data initiatives in Saudi Arabia.

Qualifications

• Minimum 5+ years in Business Analysis, Data Management, Analytics, or BI roles.
• Strong SQL and data analysis across relational databases and data warehouses.
• Experience gathering requirements and creating BRDs.

Responsibilities

• Lead data requirements gathering and BRD creation.
• Design and enforce data governance, metadata, and CDEs.
• Develop KPI/KRI dashboards with Power BI or Tableau.
• Ensure regulatory alignment with NDMO and PDPL.
• Perform complex SQL queries across warehouses and data lakes.

Skills

SQL

Data Governance

Data Analytics

Power BI

Tableau

Stakeholder Management

BRD Writing

Data Quality

UAT

Education

Bachelor’s degree or higher in Computer Science, Information Systems, Data Analytics, Finance, or related

Tools

Power BI

Tableau

ETL/ELT tooling

Job description

Position Summary

We are seeking an elite Lead Business Analyst specializing in Data Management and Analytics with 5+ years of professional experience to drive critical data initiatives for a leading banking client in Riyadh, Saudi Arabia, through Linnk Group. In this high-impact, yearly renewable long-term contract role, you will bridge the gap between complex technical data architectures and strategic business requirements. You will spearhead data governance frameworks, data warehousing integrations, and advanced business intelligence reporting while managing key stakeholder relationships. If you possess a deep mastery of SQL, data quality, and banking data domains, this is your opportunity to shape enterprise-grade data analytics in the heart of Saudi Arabia’s financial sector.

Detailed Job Description

As a Lead Business Analyst for Data Management & Analytics, you will take full ownership of the data lifecycle from requirements gathering and business rules definition to solution validation and User Acceptance Testing (UAT). You will collaborate closely with enterprise architects, data engineers, and senior business stakeholders to define Critical Data Elements (CDEs), data ownership policies, and comprehensive data governance protocols. Your daily responsibilities will involve writing complex SQL queries, designing KPIs and KRIs, conducting thorough data mapping, and building intuitive BI dashboards using tools like Power BI or Tableau. Operating within a high-stakes banking environment, you will ensure full alignment with regulatory frameworks such as NDMO and PDPL, while maintaining rigorous standards for data quality, metadata management, and enterprise data lakehouse architectures.

Key Responsibilities

• Lead comprehensive business and data requirements gathering, translating complex financial needs into detailed Business Requirements Documents (BRDs) and functional specifications.
• Design, implement, and enforce robust data governance, metadata management, data ownership protocols, and Critical Data Elements (CDEs) identification.
• Perform advanced data analysis, validation, and complex SQL querying across enterprise data warehouses, data lakes, and ETL/ELT pipelines.
• Define, track, and report on key performance indicators (KPIs) and key risk indicators (KRIs) aligned with banking operational objectives.
• Build and maintain executive-level dashboards and reporting suites using Business Intelligence tools including Power BI and Tableau.
• Drive data quality initiatives, root‑cause analysis for data anomalies, and data remediation strategies across banking source systems.
• Facilitate end-to-end User Acceptance Testing (UAT), solution validation, and defect tracking with cross-functional technical and business teams.
• Ensure regulatory compliance and alignment with regional data protection frameworks including NDMO and PDPL standards in Saudi Arabia.

Required Qualifications & Skills

• Bachelor’s degree or higher in Computer Science, Information Systems, Data Analytics, Finance, or a related technical/business discipline.
• Minimum of 5+ years of professional experience in Business Analysis, Data Management, Data Analytics, or Business Intelligence roles.
• Strong technical proficiency in SQL and data analysis methodologies across relational databases and modern data warehouse environments.
• Proven experience in requirements gathering, creating BRDs, defining business rules, and managing senior stakeholder expectations.
• Solid working knowledge of ETL/ELT processes, Data Warehouses, Data Lakes/Lakehouse architectures, and data quality frameworks.
• Hands‑on experience developing reports and dashboards with Power BI or Tableau.
• Deep understanding of Data Governance, metadata management, data ownership, and Critical Data Elements (CDEs).
• Exceptional communication, analytical, and problem‑solving skills with a track record of successfully delivering complex data projects.

Nice‑to‑Have Skills

• Prior professional experience working within the Banking, Financial Services, or Fintech domain.
• Direct exposure to regulatory compliance frameworks in Saudi Arabia, specifically NDMO (National Data Management Office) and PDPL (Personal Data Protection Law).
• Experience conducting UAT, test scenario creation, and automated test validation for data migrations.
• Certifications in Business Analysis (CBAP, CCBA) or Data Management (CDMP).
• Familiarity with big data ecosystems and cloud based data platforms (AWS, Azure, or GCP).

Recruitment Pro Tip

When applying for senior business analyst roles in Saudi Arabia’s banking sector, ensure your CV explicitly details your familiarity with regional compliance standards like NDMO and PDPL, alongside tangible examples of how you managed data governance and stakeholder alignment across enterprise data warehousing projects.

Salary/Rate: Competitive long-term contract package

Deadline: Open / Immediate Requirement

Notice Period: Immediate to 30 days preferred

Contract Duration: Yearly Renewable Long-Term Contract