56 минут назад
Data Expert - Enterprise Portfolio Solutions (EPS)
91 000 - 202 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Expert - Enterprise Portfolio Solutions (EPS) (Data Analytics/AI): Building rapid, production-ready analytical solutions for enterprise and commercial credit portfolio decision-making with an accent on data modeling, business intelligence, low-code automation, and AI-enabled capabilities. Focus on translating ambiguous business requests into defensible analytical designs, prototyping solutions, and partnering with technology teams to deploy scalable analytics.
Location: In-office role based in the United States, with locations in Cleveland, Pittsburgh, Philadelphia, Jacksonville, Tysons Corner, Wilmington, Charlotte, Atlanta, or Strongsville.
Base salary: $91,000–$202,800 per year, plus incentive eligibility.
Company
is a financial services company delivering banking, analytics, and portfolio solutions for business and commercial decision-making.
What you will do
- Respond to business data and analytics requests and deliver solutions within defined timelines.
- Translate ambiguous business questions into analytical approaches, models, and defensible insights.
- Design, build, and prototype analytics solutions and support their transition into production.
- Partner with technology and engineering teams to develop and deploy analytical solutions.
- Apply portfolio-level analysis to credit and commercial decision-making.
- Improve, automate, and reimagine analytics and business processes using modern tools and responsible AI capabilities.
Requirements
- Strong expertise in data sourcing, modeling, analysis, and end-to-end analytical solution development.
- Experience translating business context, intent, and constraints into effective analytical designs.
- Hands-on experience with modern analytics and low-code platforms such as Power BI, Power Apps, workflow, or automation tools.
- Ability to work effectively in a fast-paced, request-driven environment with a business-first approach.
- University or college degree, typically with 5+ years of relevant industry experience; a comparable combination of education, certification, and experience may be considered.
- does not provide employment visa sponsorship or participate in STEM OPT for this position.
Nice to have
- Experience with enterprise or portfolio-level data, particularly commercial or credit portfolios.
- Background in banking, financial services, or related industries.
- Familiarity with Copilot, AI Builder, or similar AI-enabled platforms.
- Exposure to agentic or semi-autonomous AI concepts and their responsible business application.
Culture & Benefits
- In-office workplace with an inclusive and supportive culture.
- Medical, dental, vision, life insurance, disability, and health savings account options.
- 401(k) matching, pension, stock purchase plans, and dependent care support.
- Educational assistance, wellness programs, paid holidays, parental leave, and 15–25 vacation days depending on career level.
- Reasonable workplace accommodations are available for qualified applicants.
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