Senior Analyst Data science- Marketing

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.

Empower India Data Science is seeking a Senior Analyst, Data Science – Brand Measurement & Marketing Analytics to help build and operationalize a cross-channel brand measurement capability. This hands-on individual contributor will integrate brand health, reputation, earned media, social media, thought leadership, creator, search, AI/LLM visibility, and digital engagement signals into a practical measurement framework.

The Senior Analyst will own defined measurement workstreams spanning data and platform configuration, data integration, analysis, dashboard development, and stakeholder communication. The role conducts diagnostic and deep-dive analyses to identify trends, drivers, anomalies, opportunities, and potential issues and translates findings into actionable recommendations for Marketing, Communications, and business partners.

• →Bachelor’s or Master’s degree in Statistics, Economics, Data Science, or a related quantitative or research discipline.
• →5–8 years of experience in marketing analytics, brand analytics, consumer insights, communications analytics, media intelligence, data science, market research, or a related measurement field.
• →At least 2–3 years of direct, hands-on experience in brand measurement, brand health, reputation measurement, social listening, communications measurement, or related cross-channel marketing measurement.
• →Experience developing or materially contributing to KPI frameworks, scorecards, or recurring measurement programs, including metric definition, source mapping, benchmarking, trend analysis, and documentation.
• →Experience independently completing complex analyses from business-question definition and data preparation through diagnostic analysis, interpretation, visualization, recommendations, and stakeholder delivery.
• →Strong SQL skills and proficiency in Python for data extraction, preparation, integration, data-quality validation, analysis, automation, and repeatable reporting.
• →Experience using APIs and structured or semi-structured marketing data.
• →Hands-on experience with brand intelligence and measurement platforms one or more or comparable platforms such as Meltwater, Sprout Social, Muck Rack, CreatorIQ, and Ahrefs.
• →Experience developing dashboards and scorecards using Tableau, Power BI, Amazon QuickSight, or comparable business intelligence and data visualization tools.
• →Knowledge of brand and reputation measurement and survey research, including awareness, familiarity, brand associations, trust, credibility, relevance, consideration, recommendation/NPS, brand lift, longitudinal tracking, sampling, weighting, cross-tabulation, statistical significance testing, and trend interpretation.
• →Knowledge of earned media, social listening, and creator measurement, including Boolean query design, topic classification, sentiment analysis, share of voice, message pull-through, reach, engagement, amplification, audience quality, and competitive benchmarking.
• →Experience applying descriptive and diagnostic analysis, trend/time-series analysis, benchmarking, correlation, regression, segmentation, statistical testing, and driver analysis.
• →Experience working with cross-functional stakeholders across Marketing, Brand, Communications, PR, Social, Content, Media, Research, Digital, Customer, or Strategy.
• →Strong analytical problem-solving, communication, data storytelling, stakeholder management, organization, judgment, and attention to detail.

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.