Senior Analyst Data Science Mktg

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 matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

Position Overview

Empower is seeking a Senior Analyst – Data Science to join the B2B Marketing Effectiveness team. This role will independently deliver analytical insights and measurement solutions to improve marketing performance, campaign effectiveness, and business decision-making.

The position requires strong analytical problem-solving, ownership of end-to-end analyses, a commitment to developing junior analysts, and the ability to translate complex data into practical recommendations. The ideal candidate has hands-on analytics experience and can partner effectively with marketing and cross-functional stakeholders.

Key Responsibilities

Analytical Responsibilities

• Own data extraction, cleaning, validation, and preparation for moderately complex analyses.
• Independently scope and execute analyses to address business questions, including ambiguous or multi-step requests.
• Apply exploratory and statistical analysis to identify drivers, trends, and performance opportunities.
• Develop and enhance dashboards and recurring reporting, including metric definitions and quality checks.
• Document analytical assumptions, methodologies, and findings to ensure reproducibility and data accuracy.

Marketing Performance Analysis

• Analyze campaign performance across B2B marketing channels and recommend optimizations based on evidence.
• Assess lead quality, funnel conversion, and campaign contribution across key funnel stages.
• Evaluate marketing initiatives by identifying performance drivers, segment-level differences, and opportunities for improvement.
• Design and analyze A/B tests where appropriate, including success metrics, interpretation, and limitations.
• Translate analytical findings into concise recommendations and communicate trade-offs to stakeholders.

Collaboration & Growth

• Partner with marketing and cross-functional stakeholders to clarify business questions and define analytical requirements.
• Work with BI and data teams to strengthen data definitions, consistency, and reporting processes.
• Present findings in team and stakeholder reviews, proactively flagging risks, caveats, and follow-up questions.
• Actively mentor junior analysts through regular analytical guidance, code and output reviews, constructive feedback, and sharing of best practices.
• Coach junior analysts on problem framing, SQL/Python approaches, statistical reasoning, data validation, and communicating findings to stakeholders.
• Review junior analysts’ deliverables for analytical rigor and clarity, helping them improve quality and build independence; no formal people-management responsibility.

Qualifications

• Education: Bachelor’s or Master’s degree in Statistics, Analytics, Engineering, Computer Science, Economics, or a related quantitative field.
• Experience: 4–8 years of experience in data analytics, business intelligence, or related analytical roles.
• Hands-on experience analyzing marketing, CRM, or sales data is preferred.
• Experience independently delivering analytical projects using structured datasets and reporting tools.

Technical Expertise

• Strong SQL skills, including complex joins, CTEs, window functions, and data validation.
• Proficiency in Python or similar analytical tools for data manipulation, exploratory analysis, and repeatable workflows.
• Experience developing and improving dashboards using Tableau, Power BI, QuickSight, or similar tools.
• Applied understanding of statistical inference, hypothesis testing, experiment analysis, and common analytical limitations.
• Exposure to cloud platforms (AWS, GCP, or Azure) and scalable data workflows is a plus

We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.