Senior Data Analyst – Marketing

Job not on LinkedIn

🕒 September 3

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

📊 Marketing Analyst

👻 Ghost score 46%

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

• Set up, traffic, or independently quality-assure paid media campaigns across paid search, paid social, programmatic display/video, CTV, and related channels • Review campaign structure, audiences, placements, creatives, budgets, bidding, optimization events, naming conventions, and taxonomies affecting measurement • Translate campaign objectives into measurement plans and implement or validate conversion tracking • Trace measurement end to end from impressions or clicks through digital conversions and downstream first-party outcomes • Diagnose broken or duplicate events, incorrect mappings, attribution differences, and discrepancies across media platforms, ad servers, web analytics, and internal reporting • Design and evaluate paid-media experiments, including A/B tests, platform tests, lift studies, geo or matched-market tests, and holdout-based incrementality studies • Analyze paid-media performance and experiment results using reach, frequency, CPM, CPC, CTR, conversion rate, CPA, ROAS, lift, incremental conversions, and cost per incremental outcome • Support recurring Media Mix Modeling by preparing, reconciling, and validating media, business, and external inputs • Assist with model refreshes, diagnostics, data-quality checks, assumptions, and documentation across digital and traditional channels • Interpret MMM outputs including channel contribution, incremental impact, ROI/ROAS, marginal returns, response curves, and budget scenarios • Connect MMM findings with experiment and campaign evidence and communicate uncertainty, limitations, and decision guardrails • Build repeatable dashboards, test readouts, QA standards, and measurement documentation • Partner with Media, Performance Marketing, MarTech, Web Analytics, Data Engineering, Finance, agencies, platforms, and measurement partners to improve measurement quality and adoption

🎯 Requirements

• Bachelor's or Master's degree in Statistics, Economics, Marketing Analytics, Data Science, Business Analytics, Computer Science, Engineering, or a related quantitative discipline • 5-8 years of experience in paid media, performance marketing, digital advertising operations, marketing analytics, marketing measurement, data science, or a closely related field • At least 4 years of direct hands-on experience setting up, trafficking, optimizing, or quality-assuring campaigns in major advertising platforms such as Google Ads, Meta Ads Manager, LinkedIn Campaign Manager, Microsoft Advertising, Campaign Manager 360, Display & Video 360, Search Ads 360, or comparable platforms • Hands-on experience configuring and validating digital conversion measurement across tags/pixels, conversion events, tag managers, ad-server tracking, platform APIs, enhanced or offline conversions, web analytics, and first-party data integrations • Experience designing and analyzing paid-media experiments, including A/B tests, platform experiments, lift studies, geo or matched-market tests, and holdout/incrementality tests • At least 2 years of hands-on experience supporting MMM or closely related econometric marketing measurement, including data preparation, model refresh or validation, output interpretation, and business application • Experience independently delivering complex measurement or analytics work and collaborating across Media, Marketing, MarTech, Analytics, Data Engineering, Finance, agencies, or external measurement partners • Strong command of paid-media measurement architecture, including campaign mechanics, conversion tracking, attribution windows, de-duplication, modeled conversions, server/API event feeds, first-party integrations, and cross-platform troubleshooting • Strong grounding in experimental design and causal measurement, including treatment/control design, randomization and holdouts, power and sample-size considerations, statistical significance, confidence intervals, lift, incrementality, and practical significance • Strong SQL and Python skills • Experience with web analytics, tag-management, and BI/visualization tools such as Adobe Analytics, Google Analytics, Google Tag Manager, Adobe Tags, Tableau, Power BI, QuickSight, Looker, or comparable tools • Working knowledge of MMM concepts and diagnostics, including adstock/carryover, saturation, seasonality, controls, multicollinearity, calibration, uncertainty, channel contribution, ROI/ROAS, marginal returns, response curves, and budget scenarios • Strong analytical problem solving, data-quality discipline, business judgment, communication, and stakeholder-management skills • Financial-services or other regulated-industry experience is a plus

🏖️ Benefits

• Flexible work environment • Fluid career paths • Internal mobility opportunities • Purpose, well-being, and work-life balance support • Welcoming and inclusive work environment • Volunteering opportunities