Data Analyst

Insight Global is looking for a Data Analyst that will collaborate with cross-functional teams to build and optimize reporting frameworks, validate data integrity across systems, and generate actionable insights that inform strategic decisions. This contract role is ideal for someone with strong technical skills in data analysis, who can leverage tools like Excel, Python, and BI platforms to automate workflows, uncover trends, and deliver scalable, data-driven solutions in a fast-paced business environment.

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 : .

Experience with SQL, Power BI, or other data visualization tools

Exposure to ERP systems or financial modeling

Understanding of basic scripting (e. g., VBA, Python) for light automation tasks

35 years of experience in data analysis, business operations, or technical reporting

Bachelors degree in Computer Science, Information Systems, Data Analytics, or a related field

Advanced proficiency in Microsoft Excel (Power Query, pivot tables, dynamic arrays, charts)

Familiarity with programming concepts and structured logic (e. g., loops, conditionals, modular design)

Ability to analyze complex datasets and communicate insights clearly

Strong attention to detail and a commitment to data integrity

Excellent collaboration and communication skills