About The Position

As an Analytics Solutions Manager in our Finance & Business Management Strategic Operational Data Intelligence team, you will initiate strategic decisions and deliver impactful data solutions. You will balance structure and best practices with pragmatic approaches, ensuring high-quality outcomes. You will 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.

Requirements

  • Bachelor’s degree in a quantitative discipline, or equivalent education and/or professional experience.
  • Over 7 years of experience in business systems analysis or in designing and developing business applications.
  • At least 5 years of hands-on experience with SQL and Python (or another programming language) in a professional setting.
  • Solid understanding of banking operations, ideally with expertise in payment processing.
  • In-depth knowledge of database design and relational database concepts.
  • Proven ability to deliver current state documentation and capture data lineage.
  • Advanced grasp of best practices in data governance and data quality management.
  • Advanced 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.
  • Authorized to work in the United States.
  • No employment-based immigration sponsorship offered.

Nice To Haves

  • Experience with large-scale data warehouses is advantageous.
  • Experience delivering within strategic front-to-back programs.
  • Understanding of core metadata and data quality principles, data transfer, and profiling technologies.
  • Promotion of lean and agile software development lifecycle behaviors.
  • Broad financial services experience and an understanding of current banking industry challenges.

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.
  • 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 drive 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.
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