Finance Analytics & Insights Manager

AccruePartners, Inc.

$110K — $130K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6 to 10 years of experience in analytics or finance analytics.
  • Proven experience supporting Finance functions like FP&A and Accounting.
  • Strong expertise in Power BI for developing reporting solutions.
  • Technical skills in SQL, and familiarity with Python or R for analytical tasks.
  • Demonstrated leadership in cross-functional projects and influencing senior stakeholders.
  • Knowledge of Databricks and modern data governance practices is advantageous.

Responsibilities

  • Act as a trusted analytics partner translating finance needs into actionable initiatives.
  • Lead the complete analytics workflow from discovery to implementation and impact measurement.
  • Modernize Finance reporting and standardize key performance indicators (KPIs).
  • Enhance self-service analytics capabilities and streamline reporting processes.
  • Facilitate connections between business teams and analytics, engineering, and governance stakeholders.
  • Provide insightful analysis on forecasting and financial performance metrics.

Benefits

  • Visibility in working with Director and VP-level leaders in Finance.
  • Involvement in a transformative Finance reporting and analytics project.
  • Access to advanced analytics tools like Power BI and Databricks.
  • Integration of analytics with business strategy and technology solutions.
  • Opportunity to influence and shape analytics initiatives company-wide.
Full Job Description
THE TEAM YOU WILL BE JOINING
  • Join a large, established national organization continuing to invest heavily in its data and analytics capabilities.
  • Partner closely with Finance leadership across FP&A, Accounting, and Operations Finance.
  • Work at the intersection of Finance, Analytics, Data Engineering, and Data Governance.
  • Join a team focused on moving analytics beyond traditional reporting toward stronger business partnership, insight, and decision support.
WHAT THEY OFFER YOU
  • A highly visible opportunity to partner directly with Director and VP-level leaders across Finance and the broader organization.
  • The ability to play a meaningful role in a larger Finance reporting and analytics transformation.
  • Exposure to modern analytics tools and platforms including Power BI and Databricks.
  • An opportunity to combine business partnership, analytics, technology, and strategic problem solving rather than operating strictly as a reporting resource.
  • A platform to help shape how analytics initiatives are prioritized, delivered, and adopted across the business.
WHY THIS ROLE IS IMPORTANT
  • Serve as a trusted analytics partner to Finance, translating business challenges into actionable analytics initiatives.
  • Lead analytics use cases from discovery and prioritization through delivery, adoption, and measurement of business impact.
  • Help modernize Finance reporting, standardize KPIs, improve self-service capabilities, and reduce manual processes.
  • Connect business stakeholders with Analytics, Engineering, and Governance teams to ensure solutions are both technically scalable and valuable to the business.
  • Deliver deeper insights around forecasting, financial performance, variances, trends, root causes, and scenario analysis.
THE BACKGROUND THAT FITS
  • 6 to 10 years of experience across analytics, business intelligence, data analytics, or finance analytics.
  • Experience directly supporting Finance organizations including FP&A, Accounting, or Operations Finance.
  • Strong Power BI experience with the ability to translate business needs into scalable reporting and analytics solutions.
  • Technical proficiency with SQL and experience utilizing Python and/or R for statistical and advanced analytics.
  • Experience leading cross-functional initiatives and influencing senior stakeholders across both business and technical teams.
  • Exposure to Databricks, modern data architectures, data governance, KPI standardization, forecasting, anomaly detection, or reporting transformation would be highly valuable.

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