Senior Data Analyst — Financial Forecasting (Remote)

Enterprise Rent-A-Car

Helena (MT)

Remote

USD 102,000 - 124,000

Full time

28 hours ago
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Job summary

Entegral is seeking a Data Analyst Sr. to analyze and optimize financial and operational performance. You will build automated reporting, predictive tools, and pricing models while partnering across departments to provide data-backed insights.

This teleworking-first role offers opportunities for growth and cross-functional exposure across Finance, Product, and Operations. Ideal candidates are data-driven, with strong SQL, Python/R, and dashboarding skills, able to translate complex data into

Qualifications

  • 5+ years of professional work experience in data analytics and building dashboards
  • Experience writing SQL queries and managing data pipelines
  • Ability to translate complex data into actionable business recommendations
  • Experience with cloud data warehouses (Big Query, Snowflake)
  • Intermediate level proficiency in Excel or similar tools

Responsibilities

  • Develop methods for calculating and reporting financial metrics across departments
  • Build and maintain financial models to forecast performance and identify risks
  • Perform end-to-end data analysis using SQL, Python/R to derive insights
  • Prepare reports and dashboards for stakeholders and senior management
  • Collaborate with Product and Sales to inform pricing strategies and data standards

Skills

SQL
Data analysis
Data pipelines
Dashboards
Excel
Cloud data warehouses

Education

Bachelor's degree in Business, Finance, Data Science, or related field

Tools

Tableau
Power BI
BigQuery
Snowflake
Python/R

Job description

Entegral is seeking a Data Analyst Sr. to analyze and optimize financial and operational performance. You will build automated reporting, predictive tools, and pricing models while partnering across departments to provide data-backed insights.

This teleworking-first role offers opportunities for growth and cross-functional exposure across Finance, Product, and Operations. Ideal candidates are data-driven, with strong SQL, Python/R, and dashboarding skills, able to translate complex data into

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