Data Analyst – SQL/Python (Hybrid)

We are seeking a skilled Data Analyst with strong SQL and Python expertise to join a high-impact analytics team. This role involves uncovering business challenges, performing root cause analysis, and delivering actionable, data-driven insights. The ideal candidate will pair technical skills with strong communication abilities to influence decision-making and provide innovative solutions. Key Responsibilities • Perform data analysis and root cause investigations to identify opportunities and solve problems. • Develop data-driven tools, including Python-based calculators and automation solutions, to support stakeholders. • Translate complex data into clear insights and business recommendations through presentations, dashboards, and visualizations. • Collaborate with cross-functional teams to define business needs and measure the impact of implemented solutions. • Communicate findings effectively to both technical and non-technical audiences, ensuring alignment with business goals. Qualifications (Must Haves) • Bachelor's degree in Statistics, Finance, Accounting, Math, Economics, Engineering, Analytics, or related STEM field. • 3+ years of professional experience in data analytics (not internships/academic only). • High proficiency with SQL and Python (coding tested during interviews). • Experience in data manipulation, data cleaning, and identifying trends through quantitative and qualitative analysis. • Strong communication skills, with proven ability to present insights clearly using PowerPoint, Excel, and Tableau. • Ability to work independently with minimal supervision and collaboratively in hybrid team environments. Preferred Skills (Nice To Have) • Advanced degree (MBA, Statistics, Finance, Economics, Engineering, Analytics, etc.). • Experience with AI/ML techniques. • Prior experience in auto finance, consumer lending, or financial services. • Background in credit risk, finance, or pricing analytics. Interview Process • First round: Virtual interview (MS Teams). • Second round: Onsite interview (Plano, TX).