Data Analyst

As a Data Analyst, you will translate complex business problems into analytical solutions, working with large datasets across big data frameworks. You will design data mappings, support data asset development, and deliver high-quality insights that improve decision-making and customer outcomes. The role sits at the intersection of banking domain knowledge, credit risk and data engineering within an Agile delivery environment.

Our client is a leading global data analytics and digital operations company serving clients across banking, financial services and insurance. They are known for combining deep domain expertise with advanced technology to deliver measurable business outcomes. The organisation fosters a collaborative, learning-driven culture with a strong focus on innovation.

Responsibilities

• Convert business problems into analytical problems and deliver pertinent, data-driven solutions
• Determine data mappings to join multiple datasets across sources and map business entities to technical attributes
• Work with data model and asset generation teams to identify critical data elements and build reusable data assets
• Perform data exploration, cleaning, preparation and quality validation using SQL, HQL, Spark SQL, PySpark and Python
• Document data mappings, subsystem designs, technical designs and business requirements
• Break down stakeholder requirements into stories and tasks and map them to logical solution models
• Deliver projects on schedule with good quality, and keep stakeholders updated on status, risks and issues
• Contribute to architecture discussions and drive process efficiency and enhancement

Requirements

• 4+ years of professional experience as a Data Analyst with strong analytical and problem-solving skills
• Proficiency in SQL, PySpark and Python
• Working knowledge of Big Data frameworks such as Hadoop, Hive and Spark
• Hands-on experience with HQL or Spark SQL for data exploration
• Understanding of ER diagrams and data modelling concepts
• Exposure to data quality validation, data cleaning, data preparation and data schema analysis
• Experience or exposure to Agile delivery frameworks
• Banking domain knowledge in credit and lending; knowledge of Basel II/III, IFRS 9 and stress testing is advantageous
• Bachelor's degree in Computer Science, Software Engineering or MIS

Skills

SQL, PySpark, Python, Hadoop, Hive, Spark, HQL, Spark SQL, Data Modelling, Basel II, Basel III, IFRS 9, Stress Testing, Data Quality Validation, Data Cleaning, Data Preparation, Agile