Senior Finance Systems Analyst

SoFiFrisco, TX
87d

About The Position

We are seeking a Senior BI Analyst to join our Finance Transformation, BI & Systems team. In this high-impact role, you will architect and automate our company-wide financial and KPI reporting systems. Your success will hinge on your technical expertise in IBM Planning Analytics (TM1), your passion for building automated data solutions, and your ability to partner with business stakeholders to drive visibility and smarter decision-making.

Requirements

  • 5+ years of work experience in a business intelligence or data analytics role.
  • Expert-level proficiency in IBM Planning Analytics (TM1), including TM1 Rules, TurboIntegrator scripting, MDX, and cube design for optimized performance.
  • Strong experience with SQL and building ETL data flows.
  • Demonstrated ability in financial modeling (Excel) and data visualization (Tableau or similar tools).
  • Proven ability to manage projects, influence senior partners, and communicate technical concepts to non-technical audiences.
  • High EQ, strong problem-solving skills, and a detail-oriented mindset.
  • Bachelor's degree in a quantitative or business-related field (Mathematics, Computer Science, Statistics, Finance); Masters is a plus.

Nice To Haves

  • Experience with Python for automation and data analysis.
  • Familiarity with Workday Financials or other large-scale ERP systems.
  • Knowledge of the banking or fintech space.

Responsibilities

  • Design, own, and execute end-to-end data workflows, from defining ETL processes and database structures to building scalable, self-service dashboards in Tableau.
  • Act as the technical expert for IBM Planning Analytics (TM1), developing and documenting robust models, hierarchies, and rules to replace manual processes and scale our reporting capabilities.
  • Collaborate closely with senior stakeholders in Finance, Engineering, and Product to gather requirements, translate business needs into technical specifications, and drive the adoption of new data tools and insights.
  • Tackle complex, unstructured problems and distill huge datasets into clear, actionable insights for business leaders.
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