Senior Data Analyst / Analytics Engineer (Product)

New York, NY, United States

WW is looking for candidates to help change people's lives. We are a global wellness technology company inspiring millions of people to adopt healthy habits for real life. We do this through engaging digital experiences, face-to-face workshops and sustainable programs that encourage people to move more, shift their mindset and eat healthier while enjoying the foods they love. By drawing on over six decades of experience and expertise in behavioral science, we build communities in order to deliver wellness for all.

Our Team

The Data Team is in a crucial position to shape the future of our business and products. Leveraging tens of billions of data points per year, we produce insights that enable WW to better serve our ~4 million worldwide members.

At WW, the Data Team has a significant seat at the table. We are equal partners with our peers in Product, Engineering, Marketing, Finance, and beyond. There is an authentic appetite for data-informed decision-making across the company, and our role is to educate and empower stakeholders by leading with transparency and expanding our stakeholders' understanding, often of deeply technical concepts.

Your Role

We are looking for an additional member to our Product Analytics team, which leads the work in deepening our understanding of our users' experience through behavioral and app interaction data. This role will leverage analysis and data science techniques, experimentation, and building out of data assets to drive progress in the space.

The ideal candidate for this role will excel at collaborating with partners across our business, using data to help our product teams develop experiences that drive member value. If large data sets excite you, you have a track record of creating narratives that drive action, and you thrive in working through ambiguity, this is the role for you.

Additionally, we will rely on you to help improve our team's ways of working and unlock more self-service capabilities for our stakeholders. You will contribute additional analytical datasets, collaborating with our data warehouse engineering team; develop new features for our in-house experimentation analytics platform; and create Looker dashboards or other data products (e.g., Streamlit apps) to allow our team to spend more time on high-value activities.

Key Responsibilities

Be a strategic partner for Product teams: identify critical member problems and apply an analytical mindset to influence product roadmap with data.

Assist in the design of product experiments, work with engineering teams to add event tagging for new features, and analyze and provide insights about experiment results.

Identify gaps in self-service capabilities and develop necessary data transformation pipelines, datasets, Looker dashboards, or Streamlit apps to address them.

Be our go-to data expert, deeply understand our data warehouse (Snowflake) and data processing layers (dbt, python+sql, prefect), and partner with our data warehouse engineering team. Help other team members make their contributions in the space.

Be our experimentation ecosystem expert, contributing to our in-house analysis tooling and building relationships with engineering teams that maintain the experimentation backend infrastructure.

Skills we look for Ability to articulate and translate business questions into an analysis approach to arrive at an answer using available data. Previous experience in Product analytics, design of A/B tests, and working with event-based app interaction data is preferred but not required.

Expert SQL! This includes complex querying and an understanding of how to design and develop data models to help increase our efficiency and efficacy as a team. We use tools like dbt and heavily rely on incremental strategies to keep our data pipelines efficient.

Experience with coding and development best practices and standards - an understanding of CI/CD, unit & integration testing, documentation best practices etc.

Experience with industry-standard visualization and BI tools (we use Looker and Amplitude).

Familiarity with statistical data analysis and basic machine learning concepts: we want you to be able to pick the right tool for the job, but we don't expect you to be an expert in training neural networks.

Experience with Python, preferably writing software engineering-quality code.

Self-starter, comfortable with ambiguity, expert at cross-functional communication with engineering and business partners alike.

Highly organized with exceptional attention to detail.

The WW Data Team practices a member-first mindset and prioritizes initiatives based on impact. If you thrive in collaborative settings, appreciate the opportunity to operate at different altitudes, lead from the front, and believe in results-based accountability, we would love to talk to you.

Our titles cover more than one career level. The starting range for this role is $130,000 to $150,000 a year. Actual base pay may vary depending on, but not limited to: skills, education and years of experience. This role is also eligible for a comprehensive benefits package and annual bonus program.

#LI-Remote

At WW, it is our priority to cultivate a diverse and inclusive workplace. We are committed as individuals, as an organization, and as fellow humans, to advocate for and support our employees, our members, and our communities. We are proud to be an equal opportunity employer and we do not discriminate on the basis of sex, race, color, creed, national origin, marital status, age, religion, sexual orientation, gender identity, gender expression, veteran status, or disability.