Freelance Data Analytics & BI Specialist

Carbon Data Solutions; United States; Remote; USD 85,000 - 130,000; Full time

Job summary

Carbon Data Solutions is seeking a Business Analyst to drive insights from data across multiple platforms. You will work with Product and Business teams to deliver analyses, build dashboards, and translate data trends into actionable business recommendations.

The role requires a strong quantitative background, SQL expertise, and experience with visualization tools to support revenue growth and customer insights.

Qualifications

• Background in quantitative field (Statistics/CS/Engineering/Data Science).
• SQL scripting experience with large data sets.
• 2–3 years of data analysis experience in a company.
• Ability to translate analysis into business recommendations.

Responsibilities

• Deliver insights using statistical tools and dashboards with cross-functional teams.
• Understand database design supporting complex processes.
• Query BigQuery with joins, subqueries and analytic functions for findings.
• Write BigQuery JS/Python to read JSON and complex data structures.
• Explain data management processes from source to target mappings.
• Collaborate across teams to resolve data issues and drive decisions.
• Lead issue resolution in a cross-team environment.
• Troubleshoot data quality issues and report findings.
• Present findings to stakeholders with visual displays of data.
• Analyze pilot settings, new features and customer behavior.
• Build and maintain dashboards tracking performance and product adoption.

Skills

SQL scripting

Data visualization

Dashboarding tools

Python

BigQuery

Education

BA/MS in Statistics, CS, Engineering, or Data Science

Tools

Tableau

Metabase

Google Data Studio

Clevertap

Python

Job description

Carbon Data Solutions is seeking a Business Analyst to drive insights from data across multiple platforms. You will work with Product and Business teams to deliver analyses, build dashboards, and translate data trends into actionable business recommendations.

The role requires a strong quantitative background, SQL expertise, and experience with visualization tools to support revenue growth and customer insights.