Data Analyst (W2 contract)

Title : Data AnalystDuration: 12+ months (possible extension / potential to convert full time)Location: Plano, TX / Hybrid2 days a week for now but eventually it can be 4 days a week. M /T.Requirements:Looking for a Business Data Analyst with 3-7 Years of overall experience.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. Hybrid: 2 days a week for now but eventually it can be 4 days a week. M /T.High proficiency and professional experience coding in SQL, Python, and/or R (tested during interviews).High proficiency and professional experience with data acquisition, data manipulation, data cleaning.Interview process: In-person interview mandatory and there will be 2 rounds and both are In-personQualifications/ 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.