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Business Intelligence Analyst Analytics

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2025-11-29
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Business Intelligence Analyst People Analytics

Business Intelligence Analyst People Analytics

11/25/2025

Contract

Active

Job Description:

Job Summary

We are seeking a Business Intelligence Analyst with strong expertise in SQL, Tableau, and data warehousing to support People Analytics initiatives.

The ideal candidate will have experience in HR analytics and be comfortable working with large datasets to deliver actionable insights.

This role involves building dashboards, performing advanced analytics, and collaborating with stakeholders to optimize workforce strategies.

Key Responsibilities
  • Develop and maintain Tableau dashboards for People Analytics reporting.
  • Perform complex SQL queries for data extraction, transformation, and analysis.
  • Work with Snowflake as the primary data warehouse (experience with Big Query, Databricks, or similar acceptable).
  • Collaborate with HR and business teams to deliver insights on workforce trends and metrics.
  • Support data modeling and transformation using DBT (Data Build Tool).
  • Ensure data accuracy, integrity, and compliance with organizational standards.
  • Contribute to advanced analytics initiatives, including predictive modeling and workforce optimization.
Required Qualifications
  • 3+ years of experience with Tableau as a primary BI tool.
  • Strong SQL skills for daily data manipulation and reporting.
  • Experience with Snowflake or similar cloud data platforms.
  • Familiarity with HR or People Analytics domain (strongly preferred).
  • Bachelor’s degree in Computer Science, Data Analytics, or related field.
Preferred Qualifications
  • Experience with DBT (Data Build Tool).
  • Familiarity with Python and libraries such as pandas, Num Py, scikit-learn (not mandatory but willingness to learn is essential).
  • Experience with HR systems like Workday and Greenhouse.
  • Exposure to advanced analytics and predictive modeling techniques.
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