AI-Driven Commercial Finance Analyst | FP&A & Insights

Azenta Life Sciences

SOUTH PLAINFIELD (NJ)

On-site

USD 115,000 - 144,000

Full time

5 days ago
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Job summary

Azenta Life Sciences seeks a Commercial Finance Analyst to support the U.S. Commercial organization from South Plainfield, NJ. You will partner with sales and marketing to forecast revenue, profitability and pricing opportunities using AI-enabled analytics and automated reporting.

The role emphasizes building self-serve tools, advancing data pipelines with IT, and delivering insights for monthly and annual planning, board materials and executive reviews. On-site 4 days/week with remote Fridays.

Qualifications

  • Bachelor's degree in Finance or related field.
  • 4+ years in FP&A, Commercial Finance or analytics.
  • Advanced proficiency in Power BI, Tableau, SQL and Excel.
  • Experience building automated reporting and dashboards.
  • Experience using AI/machine learning in analytics.
  • Familiarity with Salesforce, NetSuite, OneStream.

Responsibilities

  • Design AI-enabled forecasting models and reporting.
  • Build KPI dashboards using BI platforms.
  • Identify trends, risks, and opportunities from data.
  • Develop self-service analytics tools for leaders.
  • Collaborate with Technology to automate data pipelines.
  • Lead pricing and go-to-market analytics.
  • Support monthly, quarterly forecasting cycles.
  • Prepare executive-level reports and board materials.
  • Drive continuous process improvements with analytics.
  • Participate in annual planning and budgeting.

Skills

Analytical thinking
Communication
Business partnership
Data storytelling
Forecasting

Education

Bachelor's degree in Finance or related field

Tools

Power BI
Tableau
SQL
Excel
Salesforce
NetSuite
OneStream
Databricks
Python
R

Job description

Azenta Life Sciences seeks a Commercial Finance Analyst to support the U.S. Commercial organization from South Plainfield, NJ. You will partner with sales and marketing to forecast revenue, profitability and pricing opportunities using AI-enabled analytics and automated reporting.

The role emphasizes building self-serve tools, advancing data pipelines with IT, and delivering insights for monthly and annual planning, board materials and executive reviews. On-site 4 days/week with remote Fridays.

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