Data Analytics Senior Associate

Baker Tilly

National pyy rate range: $74,200 to $148,230; cali...
Not specified (please consult with the baker tilly talent acquisition professional for details).
Data modeling, reports, and dashboards
Fp&a reporting
Microsoft power bi
Baker Tilly is seeking a Data Analytics Senior Associate to join their Data and Analytics team, focusing on financial planning and analysis (FP&A). The ideal candidate will have experience in data analytics within a financial context, strong technical skills, and the ability to communicate insights effectively to leadership. ###

Job Summary

  • As a Data Analytics Senior Associate, you will be a critical team member of the firm's Data and Analytics team, supporting FP&A with insights and management reports for decision-making.
  • Responsibilities include developing and maintaining data models, reports, and dashboards for FP&A and firm-level reporting, focusing on forecasting, budgeting, and planning data.
  • The role requires translating business needs into analytics/reporting requirements, analyzing data lakehouse for insights and quality concerns, and supporting users with ad hoc training and troubleshooting.

Matching Summary

Match Score: 85

Baker Tilly is seeking a Data Analytics Senior Associate to join their Data and Analytics team, focusing on financial planning and analysis (FP&A). The ideal candidate will have experience in data analytics within a financial context, strong technical skills, and the ability to communicate insights effectively to leadership. ###

Salary

National pay rate range: $74,200 to $148,230; California pay rate range: $74,500 to $148,230; Benefits: Comprehensive compensation and benefits package

Skills & Requirements

Must-have

  • Data modeling, reports, and dashboards
  • FP&A reporting
  • Microsoft Power BI
  • Azure Databricks
  • Databricks SQL
  • SQL Server
  • Cloud-based technologies (Azure)

Nice-to-have

  • Synthesize complex data into actionable insights
  • Excellent communicator and collaborator
  • Work independently in a fast-paced environment
  • Professional service industry experience

Key Requirements

  • Bachelor's degree in data analytics, data science, computer science, MIS, finance, statistics or related field
  • 3-5 years of data analytics experience in a financial setting
  • Experience with forecasting, budgeting, variance analysis, and financial modeling
  • Experience with consumer-level and industry-level data
  • Experience utilizing data lakehouse architecture

Work Rights

Not specified

Tailored Resume

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