9 часов назад
Senior Data Analyst (FinTech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (FinTech): Analyzing sales, marketing, pricing, promotional performance, and customer behavior to deliver actionable recommendations with an accent on customer analytics, profitability, and business intelligence. Focus on developing predictive and statistical models, measuring incremental demand, building Tableau dashboards, and translating complex findings into decisions for cross-functional stakeholders.
Location: Utah, United States; hybrid schedule with 3 days onsite
Company
is an employee purchase program within PROG Holdings, a FinTech holding company providing payroll-deduction purchasing and responsible financial solutions.
What you will do
- Provide data-driven insights and recommendations across sales, marketing, pricing, and promotional activities.
- Analyze item-level sales, customer behavior, campaign effectiveness, and promotional performance to identify growth opportunities.
- Design, execute, and measure marketing and promotional tests, including incremental demand and profitability analysis.
- Lead customer analytics initiatives covering CLTV, acquisition, retention, segmentation, and first-time versus repeat buyers.
- Build Tableau dashboards, automate reporting, and develop predictive and statistical models for customer and business performance.
- Partner with cross-functional teams, communicate findings to leadership, and mentor junior analysts and offshore team members.
Requirements
- Hybrid work with 3 days onsite in Utah, United States.
- Bachelor’s degree in Economics, Mathematics, Finance, Statistics, Analytics, or a related field.
- 5+ years of experience in data, business, or marketing analytics, preferably in retail or e-commerce.
- 5+ years of experience using SQL, SAS, or similar tools to analyze large datasets.
- 3+ years of experience building reporting and dashboards with Tableau or similar BI tools.
- Experience with web analytics, advanced Excel, forecasting, attribution modeling, CLTV, price elasticity, simulations, and optimization.
Nice to have
- MBA focused on Analytics, Data Science, or a related discipline.
- Experience with Python or R.
- Experience building predictive models and advanced statistical analyses in retail, e-commerce, or consumer-focused organizations.
Culture & Benefits
- Comprehensive medical, dental, vision, and company-paid Basic Life/AD&D coverage.
- 401(k) retirement plan and paid time off.
- Career development opportunities and an employee purchase program.
- Collaborative, accountable, diverse, and innovation-focused working environment.
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