Lead Analyst Data Analytics

Empower is a financial services company helping customers achieve financial freedom. The Lead Data Analyst will drive complex analytical initiatives, develop reporting and analytics solutions, connect data across systems, and partner with business and technology teams to support relationship management, lifetime value analytics, and business performance visibility.

Responsibilities:

• Lead complex analyses requiring in-depth evaluation of variable business and data factors
• Develop dashboards, models, analytical frameworks, and reporting solutions
• Help provide clear, reliable visibility into staff and business performance through reporting that brings together data from multiple systems
• Investigate business questions by navigating large and complex datasets and identifying meaningful patterns or differences
• Connect data across a broad and deep data environment to support reporting and analytical needs
• Identify solutions and drive improvements to data workflows and processes
• Partner with business leaders to define analytical needs and decision inputs
• Provide subject matter guidance on tools, techniques, and best practices
• Contribute to functional roadmaps and analytics capability enhancements
• Collaborate with technology teams on data structures, pipelines, and automation
• Lead cross-functional analytical initiatives and partner closely with stakeholders across different areas and levels of the organization
• Apply analytical judgment and intellectual curiosity by questioning inputs, validating results, and considering whether an analysis addresses a meaningful business need
• Take increasing ownership of projects and independently drive work as knowledge of the data environment grows
• Mentor junior analysts and contribute to best practices and analytics standards as applicable

Requirements:

• Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.
• • Bachelor's degree in analytics, statistics, business, data science, or a related field, or equivalent experience
• • Typically 7 to 10+ years of analytics experience
• • Ability to comfortably read SQL and use queries to understand expected outputs and data relationships
• • Experience working with large, highly complex datasets and data structures
• • Comfort with BI and data visualization tools. The team is transitioning dashboards from Tableau to Amazon QuickSight, and Power BI experience is also relevant
• • Ability to independently lead complex analyses, synthesize insights, and support business decisions
• • Ability to investigate unclear analytical questions, validate findings, and ask thoughtful follow-up questions
• • Ability to take ownership of work and manage projects against established timelines
• • Ability to collaborate across business and technology teams
• • Finance expertise is not required. The financial concepts used in the role can be learned on the job. Basic statistics may be useful when working with data science outputs, but advanced statistical expertise is not required
• This job operates in a professional office environment
• For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.
• • Master's degree
• • Intellectual curiosity and a demonstrated tendency to ask the next question rather than accepting an initial answer without validation
• • Ability to assess the costs and benefits of an analytical request and appropriately question work that may not have a clear business benefit
• • Ability to independently connect information across multiple data sources and turn it into a clear analytical story