> Markdown version of [/jobs/ext/3637659-data-analyst](https://www.wearedevelopers.com/jobs/ext/3637659-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:** Robert Half - **Location:** Eatontown, NJ, United States - **Contract:** Temporary contract - **Skills:** Microsoft Excel, Data Analysis, Big Data, Excel Formulas - **Published:** October 8, 2026 - **Apply:** https://www.financialjobbank.com/job.asp?id=3425128495&tx=FJ9592FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Proficiency in data analysis with the ability to review and interpret large data sets. * Strong Excel skills, including experience using formulas to validate and manipulate data. * Bachelors in Finance, Accounting, or related fields. * Ability to identify discrepancies, investigate root causes, and recommend corrections., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. ## Description Robert Half is partnering with one of its clients for a true entry level data analysis project. Role is expected to be 2 to 3 months in length. Expectations are to help with an excel reconciliation project. Great opportunity to build out a resume!, * Examine records to identify duplicate entries, inconsistencies, and data quality issues. * Use Excel formulas and analytical techniques to organize, validate, and reconcile large sets of information. * Investigate irregular payment patterns and summarize findings for internal stakeholders. * Clean and update datasets to improve accuracy, consistency, and reporting reliability. * Maintain clear documentation of data issues, corrective actions, and recurring trends.