Job Description Day to Day Insight Global is looking for a Financial Data Analyst for the FP&A team with an enterprise retail client. They are looking for someone to analyze and validate data coming from technical teams to cross reference and pull insights as it relates to the FP&A team and company revenue. This person will jump on to an underway project focused on rolling out a new Power BI Data Set. They will be responsible for working on vital reporting needs, pulling critical KPI's, and making sure all data is accurately reflected in the new data set. They will also be performing User Acceptance Testing on the incoming data, gathering requirements from business and technical teams, and supporting the team on any broader reporting and data needs. 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 Must-haves * 3-4 years as a Financial Analyst with a focus on data analysis and data validation * PowerBI Dashboard reporting and development experience * Proficient in writing SQL queries * Excellent communication skills and ability to gather requirements from non-technical business stakeholders * Proficiency in analyzing large datasets, including data manipulation, data visualization and data cleansing * Previous Retail industry experience * Experience with User Acceptance Testing (UAT). Plusses * Masters of Business Analytics (MBAN), or Professional accounting designation (CPA), or Masters of Business Administration (MBA) * Proficiency in programming languages including Python, R * Advanced SQL skills