Senior Financial Analyst-Hybrid to Columbia City, IN

80/20•Columbia City, IN
•Hybrid

About The Position

This role is for a Senior Financial Analyst with a hybrid work arrangement, based in Columbia City, IN. The position involves daily and weekly operational reporting, monthly management reporting, and quarterly board reporting. A key aspect of the role is to automate data flow for recurring reports, partner with the business intelligence team, and drive data quality and governance. The analyst will also support business leaders with various analyses and translate findings into actionable recommendations. The role requires a strong communicator who can work effectively with non-finance partners and apply AI to reporting and automation workflows.

Requirements

  • 3-7 years in FP&A, financial analysis, or commercial finance
  • Ownership of recurring reporting or forecast cycles
  • Demonstrated experience building and running automated finance workflows
  • Working knowledge of data modeling and relation databases – tables, keys, and relationships
  • Clear communicator with non-finance partners

Nice To Haves

  • SQL, Python, Power BI/Fabric, or similar
  • Manufacturing or distribution experience
  • Multi-entity or PE-backed environment
  • ERP/EPM systems (SysPro, Business Central, Prophix, OneStream, Anaplan, or similar)
  • No H1B Sponsorship or Relocation

Responsibilities

  • Daily and weekly operational reporting to leadership
  • Monthly management reporting and the operating review package
  • Monthly variance analysis, explaining performance vs comparison periods
  • Quarterly board and sponsor reporting
  • Recurring commercial and operational reporting
  • Forecast and planning cycle support, including the inputs and cadence behind it
  • Automate the data flow behind recurring reporting
  • Partner with the business intelligence team on data model structure and reporting infrastructure
  • Drive data quality and governance – metric definitions, master data, reconciliations, audit processes
  • Work with business stakeholders to define reporting requirements and outputs
  • Document processes clearly
  • Apply AI across reporting, analysis, reconciliation, and automation workflows
  • Maintain high-quality and validation standards – own the output
  • Support business leaders with analysis on pricing, customer and product profitability, and operational performance
  • Turn analysis into clear recommendations, not just reporting
  • Support ad-hoc analyses that come with a growing, acquisitive business
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