Analytics Solutions - Senior Associate

JPMorganChasePlano, TX

About The Position

Are you ready to make a real impact with your analytical expertise? Join our Finance & Business Management Strategic Operational Data Intelligence team as an Analytics Solutions Senior Associate and help shape the future of our organization through innovative data solutions. You’ll lead strategic initiatives, collaborate with cross-functional teams, and deliver high-quality outcomes in a dynamic environment. We value hands-on, pragmatic professionals who communicate confidently, prioritize effectively, and foster an inclusive culture of continuous improvement. As a Senior Analytics Solutions Associate in our Finance & Business Management 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.

Requirements

  • 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.
  • 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.

Nice To Haves

  • Experience with large-scale data warehouses is advantageous.
  • 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.
  • 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 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.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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