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).
