• Data Analyst

    Insight Global (San Jose, CA)


    Job Description

    Insight Global is looking for a Data Analyst for a leading company in the fintech space. They will support a major migration from a legacy Partner Compensation Management System (PCMS)—built on Salesforce and Excel—to the new Trinity pricing platform. These roles will be instrumental in validating transaction expense data, automating manual calculations, and ensuring accurate partner revenue share payouts. We can pay 40-45/hour.

     

    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: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    -5–8 years of experience in pricing analytics, financial modeling, or a related field.

     

    -Proven track record in handling high-volume financial data and partner compensation.

    -Experience in system migrations and automation initiatives is a plus

    -Advanced Excel proficiency: VLOOKUPs, pivot tables, and beyond (e.g., sanity checking, acid testing)

     

    -SQL scripting: Ability to write and interpret scripts for data validation and analysis

     

    -Strong analytical mindset with experience in pricing, transaction expense, or complex financial environments.

     

    -Experience working with legacy systems and supporting platform migrations.

     

    -Deep understanding of data treatment and financial validation processes.