> Markdown version of [/jobs/ext/4629610-data-analyst](https://www.wearedevelopers.com/jobs/ext/4629610-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Insight Global - **Location:** Raritan, NJ, United States - **Contract:** Temporary to permanent - **Skills:** Microsoft Excel, Big Data, Data Validation, Python (Programming Language), Standard Sql, Data Processing - **Published:** November 7, 2026 - **Apply:** https://dejobs.org/x/x/1BD59570EBF346D59103CD5EDB0129B3/job/ ## About the Role * Strong Excel skills with the ability to manipulate large files and datasets using formulas, tables, lookups, filtering, and data validation * Hands-on experience with Model N, ideally working with pharmaceutical claims, Medicaid rebates, or related data * Experience processing and validating Medicaid and/or pharmacy claims data * Working knowledge of SQL for querying and validating data * Strong attention to detail and ability to identify inconsistencies within large datasets * Ability to quickly learn established processes and independently manage day-to-day tasks * Previous J&J experience / rehire eligibility required * Open to junior-to-senior analyst-level candidates if they have the core Model N, Excel, and claims experience * Experience within the pharmaceutical or life sciences industry * Previous experience supporting Medicaid rebate or government pricing processes * Exposure to Python is a plus, but not required for this assignment ## Description We are seeking an Analyst to provide short-term coverage for a team member currently on medical leave, with an anticipated assignment through the end of the year and the potential to extend. This individual will support day-to-day data processing and validation activities within the Medicaid space, helping ensure ongoing work continues accurately and on schedule. This role is primarily execution-focused rather than requiring full ownership of the function. The ideal candidate will be highly comfortable working with large datasets in Excel, have experience with Model N and pharmacy or Medicaid claims data, and possess working knowledge of SQL.