Senior Financial Analyst-Hybrid to Columbia City, IN

80/20•Columbia City, IN
•Hybrid

About The Position

This role is responsible for daily and weekly operational reporting to leadership, monthly management reporting, and the operating review package. It involves monthly variance analysis, explaining performance against comparison periods, and quarterly board and sponsor reporting. The position also handles recurring commercial and operational reporting, supports the forecast and planning cycle, and automates data flow for recurring reporting. A key aspect is partnering with the business intelligence team on data model structure and reporting infrastructure, driving data quality and governance (metric definitions, master data, reconciliations, audit processes). The analyst will work with business stakeholders to define reporting requirements, document processes, and apply AI across reporting, analysis, reconciliation, and automation workflows. Maintaining high-quality and validation standards, owning the output, and supporting business leaders with analysis on pricing, customer and product profitability, and operational performance are crucial. The role requires turning analysis into clear recommendations and supporting ad-hoc analyses for a growing, acquisitive business.

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)

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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