Senior Marketing Analyst

Ancestry

Lehi, UT

Full Time

Senior

112k-140k

10 days ago

Job Description

About the Role

Ancestry is a human-centered company and the global leader in family history, empowering journeys of personal discovery through an extensive collection of records, DNA testing, and related services. The company values diversity, inclusion, flexible work arrangements, and a culture that fosters innovation and customer-centric growth. The Senior Marketing Analyst will be part of the Advanced Marketing Analytics Team, which applies scientific thinking and advanced analytics to solve marketing and commercial challenges, delivering actionable insights to optimize marketing strategies and drive subscription revenue.

Key Responsibilities

Lead the design and execution of analytical solutions across initiatives such as Marketing Mix Modeling (MMM), segmentation and personalization, and pricing optimization.
Develop and scale time series models to forecast funnel conversion, demand, and performance KPIs.
Apply machine learning and advanced statistical methods to uncover insights that drive marketing strategy.
Act as a thought partner to senior marketing and commercial stakeholders, translating complex data findings into strategic recommendations.
Champion a data-driven culture and support long-term business value creation through development of best-in-class data science capabilities in predictive modeling, attribution, customer segmentation, forecasting, and causal inference.
Collaborate with Marketing Analytics, Marketing Tech, Consumer Insights, Finance, and other teams to provide and communicate data-driven recommendations to the business.

Requirements

Bachelor's degree in Computer Science, Statistics, Mathematics or other data-related field; Master's or Ph.D. is a plus.
3+ years of industry experience in machine learning and statistical modeling.
Proven track record of completing multiple data science projects end-to-end, from idea generation to implementation and deliverables.
Strong proficiency in Python and SQL.
Experience with applied machine learning, business analytics, and data visualization.
Experience with experimental design, A/B testing, and causal inference.
Understanding of common marketing metrics such as ROI, CAC, LTV, and conversion rates.
Knowledge of cloud data platforms, data pipelines, and data transformation tools.

Nice to Have

Experience with predictive modeling, attribution, customer segmentation, and forecasting.
Knowledge of causal inference techniques.
Experience working in a collaborative, agile environment.

Qualifications

Educational background in a data-related field such as Computer Science, Statistics, or Mathematics.

Benefits & Perks

Competitive compensation package including salary, bonus, and equity.
Health, dental, and vision insurance.
Flexible work arrangements including remote, hybrid, or office-based options.
Opportunities for professional growth and development.

Working at Ancestry

Ancestry values diversity, inclusion, and a collaborative, innovative work environment. The company promotes a human-centered approach, encourages ideas and perspectives from all employees, and supports flexible work arrangements to foster work-life balance. They are committed to pay transparency, equity, and providing a supportive environment for all employees.

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