Data Analyst

4 days ago


Plano, United States eTeam Full time
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

Requirements:
Qualifications/ What you bring (Must Haves) - Highlight Top 3-5 skills:
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.

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.
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