Data Analyst
Insight Global
Job Description
The Data Analyst will support quarterly initiatives within the Channel Analytics team, working closely with partners across P&BB. This role focuses heavily on data exploration, manipulation, and building analytical outputs that support business decision‑making. Day‑to‑day work includes pulling and joining datasets, creating structured tables based on project requirements, and developing automated reporting solutions in Power BI. The analyst will also handle ad‑hoc data requests between major project cycles and collaborate with technology teams when ongoing reporting needs transition into production environments. Strong technical skills and the ability to build clear, compelling presentations are essential.
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
Strong SQL and SAS coding skills
Hands‑on Power BI development experience (data modeling, report building)
Ability to build decks and presentations in PowerPoint
Experience creating and maintaining Power BI reports
3–5 years of experience in a data analyst or similar analytical role Ability to craft a narrative or storytelling around data outputs
Strong presentation skills (nice to have, not required)
Experience in financial services preferred; technology industry experience is a strong secondary fit
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