Data Analyst

Location: Plano, TX
Salary: $45.00 USD Hourly - $50.00 USD Hourly
Description: Our client is currently seeking a Data Analyst

Job Title: Data Analyst

Location: Plano, TX (Hybrid)

Contract: 12+ Months (Contract to Hire/ Extend)

• Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at a leading automotive financial services company. As one of the world's most admired brands, we're growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight our customers. We're looking for diverse, talented team members who want to Dream. Do. Grow. with us.

What 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. The Analytics Manager role involves using data analysis to identify and solve complex problems. You will be responsible for performing root cause analysis, proposing data-driven solutions, and developing tools like Python calculators for stakeholders. This position requires a strong ability to work autonomously with minimal supervision, along with excellent communication skills to understand stakeholder needs and effectively present solutions.

What You'll Be Doing

• Recommend actions based on your insights by effectively telling the story supported by data through presentations (PowerPoint), data visualizations (Tableau), and clear verbal and written communication.
• Uncover business needs and the true questions the company is trying to answer to properly frame your analysis.
• Leverage your SQL and Python coding skills to pull and organize data for your analysis.
• Assess the quantitative and qualitative impacts of possible actions based on your insights, considering our customers, employees, and the company.
• Coordinate with various stakeholders to help implement and measure recommended actions.

What You Bring (Must-Haves)

• Bachelor's degree or higher in Statistics, Finance, Accounting, Math, Economics, Engineering, Analytics, or a 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 and Python (tested during interviews).
• Experience in data analytics and a proven ability to solve complex problems.
• Strong analytical thinking skills and the ability to work autonomously.
• Excellent communication and presentation skills, with the comfort to present ideas virtually or in-person to audiences of various sizes.
• High proficiency with data acquisition, manipulation, and cleaning.
• High proficiency with statistics and predictive modeling techniques.

Added Bonus If You Have (Preferred)

• Experience with AI/ML.
• MBA or an advanced degree in a 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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