Senior Analyst, Data Science – Marketing

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Own data extraction, cleaning, validation, and preparation for moderately complex analyses • Independently scope and execute analyses addressing 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 for reproducibility and data accuracy • Analyze campaign performance across B2B marketing channels and recommend evidence-based optimizations • Assess lead quality, funnel conversion, and campaign contribution across key funnel stages • Evaluate marketing initiatives by identifying performance drivers, segment-level differences, and improvement opportunities • Design and analyze A/B tests, including success metrics, interpretation, and limitations • Translate analytical findings into concise recommendations and communicate trade-offs to stakeholders • Partner with marketing, BI, data, and cross-functional teams to define analytical requirements and improve reporting processes • Present findings in team and stakeholder reviews, flagging risks, caveats, and follow-up questions • Mentor and coach junior analysts through guidance, code and output reviews, feedback, and best-practice sharing • Review junior analysts’ deliverables for analytical rigor and clarity; no formal people-management responsibility

🎯 Requirements

• Bachelor’s or Master’s degree in Statistics, Analytics, Engineering, Computer Science, Economics, or a related quantitative field • 4–8 years of experience in data analytics, business intelligence, or related analytical roles • Hands-on experience analyzing marketing, CRM, or sales data preferred • Experience independently delivering analytical projects using structured datasets and reporting tools • 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 AWS, GCP, or Azure and scalable data workflows is a plus • Ability to partner with marketing and cross-functional stakeholders • Ability to translate complex data into practical recommendations • Commitment to developing and mentoring junior analysts

🏖️ Benefits

• Flexible work environment • Fluid career paths • Internal mobility opportunities • Purpose, well-being, and work-life balance initiatives • Inclusive and welcoming work environment • Volunteer opportunities • Equal opportunity employment