Product Analyst

Ancestry • Lehi, UT

33d • Remote

About The Position

When you join Ancestry, you join a human-centered company where every person's story is important. Ancestry®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we've built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families. We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE ). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity. Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people's lives? Join the curious. Ancestry seeks a Product Analyst to help our Product Analytics team to identify opportunities and evaluate initiatives devoted to dramatically increasing the number of customers who engage with Ancestry Brands. If you love diving into massive datasets but also want the opportunity to shape the vision and strategic role of Product Analytics, this may be the role for you. Working closely with members of Product, Marketing, Data Science, and Engineering teams, you will define and report on key metrics, analyze customer behaviors/data, optimize our products and content and build tools/services to improve Analytics productivity. This position is located in our Lehi, UT office, or remote.

Requirements

• 2+ years of demonstrated experience analyzing product and content user behavior for online consumer software products, e.g. online shopping, social site, streaming services, gaming, etc.
• Experience in analyzing very large datasets with SQL (Redshift, Teradata, Oracle, or MySQL).
• Experience in using/implementing data tracking for user behavior.
• Hands-on knowledge in either Python or R.
• Experience conducting product experiments and using Design of Experiment (AB and multivariate testing).
• Bachelor's or Higher Degree in Statistics, Operation Research, Applied Mathematics, Economics, Computer Science, or a quantitative discipline preferred.
• Strong research and analytical mindset and extremely detail-oriented.
• Strong communication skills, written and verbal; ability to present data and its implications in a clear, concise manner.

Responsibilities

• As a key partner on the Product Management team, you will participate in product planning, new product design, execution, review, and continuous product feature improvement
• Run exploratory analyses, uncover new areas of opportunity, generate hypotheses, and quickly assess the potential upside of a given opportunity, by leveraging both quantitative and qualitative customer satisfaction survey data.
• Implement and analyze A/B or Multi-Variate Tests to measure the impact of product decisions and changes
• Collaborate with business partners to identify critical business problems/key knowledge and translate them into technical analyses and deliver actionable insights
• Create dashboards, reports, and analyses that explain what happened and why
• Identify and understand various data sources; build tools and services to improve analysis and experimentation throughput, and work with the Data Warehouse team to make online and offline data across platforms available.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees