Business Data Analyst

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Responsibilities Understand the day-to-day issues that our business faces, which can be better understood with dataaWhat we’re looking for: The primary focus of our Analytics teams is to generate actionable insights by leveraging data and using effective data storytelling to help our company make better data-driven decisions. What you’ll be doing: Uncover business needs and the true questions that the company is trying to answer in order to properly frame your analysis Leverage your SQL/Python coding skills to pull and organize data that is needed for your analysis Assess the quantitative and qualitative impacts of possible actions based on your insight, taking into consideration our customers, our employees, and our company Recommend actions based on your insights by effectively telling the story that is supported by data through presentations (PowerPoint), data visualizations (Tableau), and clear and concise verbal and written communications skills Coordinate with various stakeholders to help implement and measure recommended actions Qualifications/ What you bring (Must Haves) – Highlight Top 3-5 skills Authorized to work in the United States, without requiring visa sponsorship now or in the future. Bachelor's degree or higher in Statistics, Finance, Accounting, Math, Economics, Engineering, Analytics, or similar quantitative STEM field. Relevant professional work experience (paid, non-academic, non-intern) OR an advanced degree in one or more of the above disciplines. High proficiency and professional experience coding in SQL, Python and/or R (tested during interviews). High proficiency and professional experience with Excel, PowerPoint and Tableau. High proficiency and professional experience with data acquisition, data manipulation, data cleaning. High proficiency and professional experience identifying trends and indicators through quantitative and qualitative analysis. Proficiency with statistics and predictive modelling techniques. Comfort with presenting ideas virtually or in-person to audiences of various sizes. Ability to collaborate effectively with others as well as work independently while in a hybrid work environment. Tableau Added bonus if you have (Preferred): MBA or advanced degree in Statistics, Finance, Accounting, Math, Economics, Engineering, Analytics, or similar quantitative STEM field. Professional work experience in auto financing, consumer lending and/or financial institutions. Professional work experience in consumer credit risk, business analytics, finance and/or pricing roles. Interview process: In-person interview mandatory and there will be 2 rounds and both are In-person