2 дня назад
Data Analyst II - Enterprise Solutions
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst II - Enterprise Solutions (Python/SAS/R): Analyzing large and complex datasets to identify business opportunities, risks, and process improvements with an accent on data mining, visualization, and decision-support modeling. Focus on supporting AI and automation initiatives, quantifying business value, and translating analytical findings into actionable recommendations for stakeholders.
Location: Fort Worth, Texas, United States; hybrid schedule with two days per week in the office.
Company
provides automotive finance services and improves business operations through analytics, automation, process redesign, and AI-driven solutions.
What you will do
- Analyze large structured and unstructured datasets to identify trends, risks, inefficiencies, and business opportunities.
- Develop reports, dashboards, analytical models, and decision-support solutions.
- Quantify the potential business value of identified opportunities.
- Support AI, automation, and process improvement initiatives through data-driven analysis.
- Partner with business units, IT, stakeholders, and external vendors to turn findings into actionable recommendations.
Requirements
- At least 3 years of data mining and query tool experience in a similar role.
- Bachelor’s degree in economics, mathematics, business analytics, computer science, statistics, or another quantitative field, or equivalent experience.
- Advanced programming skills in Python, SAS, R, or a similar language.
- Experience with technical systems, relational and dimensional datasets, data warehouses, data analysis, and data visualization.
- Strong quantitative, analytical, data interpretation, communication, presentation, and project coordination skills.
- Knowledge of consumer auto lending or leasing portfolios is preferred; 3+ years of auto finance experience and a master’s degree are also preferred.
Nice to have
- Experience with Power BI, Tableau, Databricks, or SAS Visual Analytics.
- Experience in consumer auto lending, leasing portfolios, or auto finance.
- Master’s degree in a quantitative discipline.
Culture & Benefits
- Flexible hybrid work environment with two office days per week.
- Benefits available from day one, including 401(k) matching and nine company holidays.
- Paid bonding leave for new parents: 12 weeks at 100% pay.
- Tuition assistance, training, community service pay, and an employee auto discount.
- Innovative, collaborative environment focused on integrity, inclusion, and practical business results.
Hiring process
- The position is not open to agency submissions.
- Visa sponsorship is not available for this position.
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