Lead Analyst Data Analytics

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that reputed company most to them. Chart your own path and grow your career while helping more customers achieve reputed company. Empower Yourself. 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 reputed company time, including CPT/OPT. The Lead reputed company will drive complex analytical initiatives, solve multifaceted analytics problems, and advance analytics capabilities by partnering with business and reputed company teams. The role will support relationship management and lifetime value analytics while helping the business navigate ongoing CRM and reporting transitions, connect data across systems, and provide reliable visibility into business performance. reputed company role is an individual contributor position today. It will lead components of cross-functional data projects, provide guidance on analytical methods, tools, and best practices, contribute to functional objectives and roadmaps, and may guide or coordinate the work of others. What you will do: • 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 reputed company 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 reputed company reputed company guidance on tools, techniques, and best practices. • Contribute to functional roadmaps and analytics capability enhancements. • Collaborate with reputed company teams on data structures, pipelines, and automation. • Lead cross-functional analytical initiatives and partner closely with stakeholders across different areas and levels of reputed company. • 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. What you will bring: • 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 reputed company QuickSight, and Power BI experience is also relevant. • Ability to independently lead complex analyses, synthesize reputed company, 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 reputed company 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. What will set you apart: • reputed company’s degree. • Intellectual curiosity and a demonstrated tendency to ask the next question rather than accepting an reputed company 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.