4 дня назад
Senior Business Intelligence Analyst (Membership & Deposit Products)
96 900 - 141 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Business Intelligence Analyst (Membership & Deposit Products) (Business Intelligence/Data Analytics): Analyzing structured and unstructured data to build dashboards, reports, forecasts, and business recommendations for membership and deposit products with an accent on data integration, visualization, and advanced statistical analysis. Focus on identifying performance trends, performing root cause analysis, forecasting costs and risks, and leading small analytics initiatives.
Location: Hybrid, with work locations in Vienna, Virginia; Pensacola, Florida; or Winchester, Virginia, United States
Salary: $96,900–$141,600 annually
Company
provides financial services and supports members through a large-scale credit union organization.
What you will do
- Collect, integrate, clean, validate, and analyze structured and unstructured data from multiple sources.
- Identify trends and patterns, and create ongoing reports, dashboards, and data visualizations.
- Develop and manage advanced business intelligence and reporting solutions.
- Produce KPI reports, root cause analyses, forecasts, and recommendations for improving operations and evaluating new initiatives.
- Communicate findings and strategy recommendations to stakeholders, senior leaders, and nontechnical audiences.
- Define reporting specifications, respond to ad hoc requests, build stakeholder relationships, and lead small projects.
Requirements
- Applicants must be authorized to work in the United States without current or future sponsorship.
- At least 5 years of experience in data analysis and reporting.
- Advanced proficiency with business intelligence applications, cloud services, reporting platforms, and complex data manipulation across multiple tables.
- Advanced knowledge of statistical methods, mathematical techniques, forecasting, and cost-benefit analysis.
- Experience with data analysis tools and programming languages such as Python and R.
- Strong communication, research, interpersonal, data visualization, and data storytelling skills.
Nice to have
- Bachelor's degree in Business Administration, Statistics, or a related field, or an equivalent combination of education, training, and experience.
Culture & Benefits
- Full-time regular schedule, Monday through Friday, 8:00 AM–4:30 PM.
- Competitive pay and benefits.
- Culture focused on engagement, commitment, appreciation, and mission-driven work.
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