Business Data Analyst

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries.

We have been named the fastest-growing Indian IT services brand in the “Brand Finance India 100” 2025 report. We were also cited as a Leader in the ISG Provider Lens™ 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix® Assessment 2025

Please mention a brief description of the position.

• Role:
  Business Data Analyst
• Location:
  Glasgow, Scotland
• Job Type: Full Time Employment

Job Title:
Business Data Analyst

• Hands on experience in modern data analytics platforms and reporting data warehouses.
• Deep Understanding of Data warehousing principles with hands on knowledge on scalable data ingestion techniques through secure pipelines.
• Ability to perform business and data analysis alongside working with technology colleagues, developers and business stakeholders.
• Working experience on Agile methodologies like Scrum, Kanban or any other Agile framework. Working experience of using Python for Data Analysis & Profiling.
• Ability to translate business requirements into technical stories. Solid written and verbal communication skills. Ability to be proactive, a team player and having a ‘can-do’ attitude.

• Knowledge in Retail, Investment Bank or Correspondent Banking Anti-Money Laundering (AML) Transaction Monitoring.
• Knowledge of data modelling techniques and exposure to any modelling tool preferred. Exposure to data controls techniques would be an added advantage.
• Knowledge and understanding of Data Analysis and Visualization tools like SQL/Tableau/Power BI, etc. Solid written and verbal communication skills. Certification in AWS, Databricks Lakehouse, DBT Fundamentals would be an added advantage.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organization improve its operation, and optimise resources.

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
• Execution of data cleansing and transformation tasks to prepare data for analysis.
• Designing and building data pipelines to automate data movement and processing.
• Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
• Documentation of data quality findings and recommendations for improvement.
• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and…