Job Description
Insight Global is looking to hire a Business Intelligence Analyst / Analytics Engineer in Austin, TX for our AI powered, due diligence & investigative reporting client. This individual will own the full data lifecycle from raw data ingestion to building clean, scalable data models and delivering business insights. They will partner closely with engineering to improve data pipelines and architecture, while working with product and operations to define key metrics and reporting needs. The role will focus on cleaning and structuring data, building a single source of truth, and developing dashboards that enable self-service analytics across the organization. This person will also help leadership make informed decisions by translating complex data into actionable insights and evolving the company's long-term data strategy as the organization scales. This is a hybrid role (4 days in office, 1 day work-from-home) with a compensation range of $80,000-$110,000.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
3+ years of experience in BI, data analytics, or analytics engineering
Strong SQL skills (advanced querying, joins, performance optimization)
Experience building data models and using transformation tools (dbt or similar)
Experience with BI tools (Tableau, Looker, Power BI, etc.)
Solid understanding of data warehousing concepts and working with large datasets - Experience with modern data stack (Snowflake, BigQuery, Redshift)
Exposure to AWS data services (DynamoDB, Redshift) and PostgreSQL
Experience with Python for data workflows
Experience in a startup or high-growth environment
Familiarity with event tracking or analytics instrumentation
Experience using AI tools like Cursor or Claude in development workflows
