Job summary
As a Senior Analytics Solutions Associate in our F&BM Strategic Operational Data Intelligence team , you will support the delivery of impactful data solutions and contribute to strategic decision-making. You will balance structure and best practices with pragmatic approaches, ensuring high-quality outcomes. You communicate and negotiate confidently at all levels, prioritize effectively, and embrace a hands-on attitude to get things done. Together, we foster an inclusive environment where your contributions help shape our organization’s future.

Job responsibilities

• Lead the delivery of current state documentation and data lineage capture.
• Interpret data requirements into actionable plans and identify inconsistencies.
• Apply best practice data governance and data quality controls under guidance.
• Manage project delivery across borders and within matrix reporting structures.
• Oversee data warehouse process models, including sourcing, loading, transformation, and extraction.
• Utilize industry-standard data warehousing tools for ingestion, streaming, storage, and visualization.
• Integrate data warehousing solutions within cloud platforms such as AWS Glue and AWS Lambda.
• Collaborate with cross-functional teams to forge innovative analytics projects.
• Communicate and negotiate effectively with stakeholders at all levels.
• Prioritize tasks and manage multiple projects simultaneously.
• Foster a culture of teamwork and continuous improvement.

Required qualifications, capabilities, and skills

• Bachelor’s degree in a quantitative discipline, or equivalent education and/or professional experience.
• Minimum 5 years of experience in business systems analysis or in designing and developing business applications.
• At least 3 years of hands-on experience with SQL and Python (or another programming language) in a professional setting.
• Some understanding of banking operations, ideally with expertise in payment processing.
• In-depth knowledge of database design and relational database concepts; experience with large-scale data warehouses is advantageous.
• Proven ability to deliver current state documentation and capture data lineage.
• A good understanding of best practices in data governance and data quality management.
• Experience of delivery skills, including managing projects within a matrix organization across borders and multiple regions.
• Practical knowledge of data warehouse process models, such as data sourcing, loading, transformation, and extraction, with experience using industry-standard data warehousing tools for ingestion, streaming, storage, and visualization.
• Familiarity with cloud-based data warehousing technologies (e.g., AWS Glue, AWS Lambda, Data Warehouse, Data Lake, Data Mesh).
• Exceptional analytical abilities and keen attention to detail.

Preferred qualifications, capabilities, and skills

• Experience delivering within strategic front-to-back programs.
• Some understanding of core metadata and data quality principles, data transfer, and profiling technologies.
• Promote lean and agile software development lifecycle behaviors.
• In-depth knowledge of database design and relational database concepts; experience with large-scale data warehouses is advantageous. Broad financial services experience and an understanding of current banking industry challenges