Data Analytics & Operations Associate

Job Description

In this role, you will support the reliability and clarity of analytics outputs by working hands-on with large datasets to investigate anomalies, inconsistencies, and unexpected results. You will validate analytics outputs using defined acceptance criteria, execute well-scoped data investigations with guidance, and document findings to improve transparency and trust in the data. On a daily basis, you will partner with engineering, research, and product teams to surface and communicate data issues, escalate risks early, and support the maintenance of reliable analytics workflows. The role also involves helping automate recurring analytics processes, reducing manual intervention, and ensuring outputs are accurate, clear, and ready for internal and client-facing use.

This position is onsite 4x a week in NYC or Denver

Annual Salary: $90K to $113K

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 [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

2+ years of hands-on experience using SQL and Python in large raw data sets 2+ Years of experience investigating data anomalies, issues with pipelines, and reviewing unexpected results

Strong analytical and problem-solving skills with the demonstrated ability to think through how data drives business decisions

Experience automating processes with databricks