Data Insights & Strategy Analyst (Power BI)

Chameleon; Fairfield (NJ); On-site; USD 70,000 - 100,000; Full time

Job summary

Chameleon, a rapidly growing data-driven company in New Jersey, is seeking a Data Analyst who can turn scattered data into clear, confident business decisions. This on-site role emphasizes insight, strategy, and ownership rather than mere data movement.

You will integrate data from multiple CRMs and systems, automate reporting, and design Power BI dashboards for leadership. The ideal candidate has 2+ years building dashboards, strong SQL (Snowflake), and comfort turning ambiguity into trusted

Qualifications

• 2 years of experience building dashboards and insights (Power BI strongly preferred).
• Advanced SQL experience (Snowflake required; SSRS a plus).
• Experience aggregating data from multiple systems or CRMs.
• Comfort working with ambiguity and imperfect data.
• Experience in services-based businesses is a strong plus (home services a bonus, not required).
• Tableau experience is acceptable if you’re open to Power BI.

Responsibilities

• Turn data into clarity and drive better decisions across the business.
• Own ETL pipelines and automate reliable reporting.
• Design and own Power BI dashboards used by leadership.
• Partner with cross-functional teams to interpret insights.
• Improve data accuracy and usability across reports.

Skills

Insights generation

Advanced SQL

Data aggregation

Ambiguity tolerance

Industry experience: services

Power BI familiarity

Tools

Power BI

Snowflake

SSRS

Tableau

Job description

Chameleon, a rapidly growing data-driven company in New Jersey, is seeking a Data Analyst who can turn scattered data into clear, confident business decisions. This on-site role emphasizes insight, strategy, and ownership rather than mere data movement.

You will integrate data from multiple CRMs and systems, automate reporting, and design Power BI dashboards for leadership. The ideal candidate has 2+ years building dashboards, strong SQL (Snowflake), and comfort turning ambiguity into trusted