Lead analytics for member engagement and revenue recognition: build and validate Braze attributes, run attribution and A/B test analyses, maintain Looker dashboards, join campaign and engagement data via SQL/DBT, and provide actionable recommendations to Member Operations and Marketing.
ABOUT US
At Vida, we help people get better- and we're helping the healthcare system get better, too.
Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions like diabetes, high blood pressure, anxiety and depression. Vida's team of Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches and Licensed Therapists takes a whole-person approach to care, helping people lose weight, reduce stress and improve their overall health.
By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. It's trusted by Fortune 100 companies, major national payers and large providers to enable their employees to live their healthiest lives.
Vida Health is seeking a Senior Growth Analyst to join our Business Intelligence and Healthcare Analytics team (BIHA) and lead analytics focused on revenue recognition and member engagement at Vida Health.
In this role, you will measure how members engage across their lifecycle (both pre- and post-enrollment with Vida), partner closely with the Member Operations & Revenue Realization teams to surface what's working and where members fall through the cracks, and turn that understanding into sharper targeting, timing, and intervention decisions. A core part of the role is connecting our communication and intervention strategy to actual member behavior.
In this role, you will develop and maintain Braze attributes, which includes defining, building, and validating the custom attributes and event structures that power lifecycle segmentation and personalization. Your work in our data warehouse will require joining member engagement activity with campaign and engagement-platform data for reporting in Looker, where you'll build the dashboards and reporting that make those insights visible and actionable, and in the Braze dashboard, where lifecycle communications are built and delivered. You will lead marketing attribution analysis, measuring how channels, campaigns, and touchpoints drive member acquisition and engagement to inform spend and strategy. You will need a working understanding of production SQL and how our DBT ETL feeds and interacts with Braze and Looker, so you can reason about data flow, validate what's landing where, and trust the numbers behind your analysis. You will partner closely with other analysts on the team, member operations, and marketing and data stakeholders. This role is ideal for someone who thrives at the intersection of member engagement analytics, experimentation, and SQL-driven analysis—and wants to directly improve the member experience at scale.
Responsibilities:
- Develop and maintain Braze attributes. This includes defining, building, and validating custom attributes and event structures that enable lifecycle segmentation, targeting, and personalization across communications.
- Own marketing attribution analysis, such as measuring how channels, campaigns, and touchpoints contribute to member acquisition and engagement, and translating findings into recommendations on spend, targeting, and channel mix.
- Own member engagement analytics, measuring how members engage across their lifecycle, identifying drop-off and opportunity, and delivering insights that inform engagement strategy and operations optimization.
- Build and maintain Looker dashboards and reporting that track member engagement, channel effectiveness, and lifecycle outcomes—turning recurring questions into self-serve reporting that member operations and marketing partners can act on.
- Partner with Member Operations & Marketing as their analytics counterpart, translating questions about member behavior into analysis and clear, actionable recommendations.
- Operate as a proactive analytics partner—anticipating the questions Member Operations and Marketing will ask and surfacing insights before they're requested, rather than waiting on ad-hoc asks.
- Apply a working understanding of production SQL and our DBT ETL to reason about how data flows into and interacts with Braze and Looker—validating custom attributes and events, flagging discrepancies, and partnering with data teams to resolve issues.
- Design, run, and analyze A/B tests and experiments, translating results into recommendations for member operations and marketing partners.
- Other responsibilities as assigned.
Qualifications:
- Bachelors degree at a minimum.
- 3-5+ years of experience in member/customer engagement analytics, marketing analytics, or a related quantitative role.
- Proven experience building dashboards and reporting in Looker (or a comparable BI tool such as Tableau or Power BI), including working with Explores to enable self-serve analytics for stakeholders.
- Working understanding of production SQL, including how DBT ETL models feed and interact with downstream systems like Braze & Looker.
- Experience with attribution and revenue recognition analytics.
- Proven experience writing SQL to analyze data in BigQuery or a similar relational database.
- Fluency with AI-based analytics and coding tools (e.g., Claude, Claude Code) to accelerate query writing, analysis, and reporting, having used them to scale output while validating results for accuracy.
- Comfortable designing and interpreting experiments and A/B tests.
- Strong communication skills—able to translate analysis into clear recommendations for non-technical partners.
Preferred:
- Familiarity with LookML and maintaining a Looker semantic model.
- Familiarity with DBT data models and production ETL workflows.
- Braze certification(s).
- Experience in healthcare or another regulated industry.
- Experience with Braze or a comparable CRM/engagement platform, including familiarity with custom attributes and event structures.
Vida is proud to be an Equal Employment Opportunity and Affirmative Action employer.
Diversity is more than a commitment at Vida—it is the foundation of what we do. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or Veteran status. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
We seek to recruit, develop and retain the most talented people from a diverse candidate pool. We don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our platform and those we serve. Vida is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at Vida in any form without a valid, signed search agreement in place for the specific position will be deemed the sole property of Vida. No fee will be paid in the event the candidate is hired by Vida as a result of the unsolicited referral.
**Vida is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where Vida is registered, you will not be eligible for employment. Please speak with your recruiter to learn more about where Vida is registered.
Please note: Applicants must be authorized to work in the U.S. as Vida is unable to sponsor work visas for any position.
All Vida Employees must reside in/be able to work from the U.S.- international work is prohibited. Job postings at Vida are evergreen and will remain open through end of year, until filled.
#LI-remote
Similar Jobs
Healthtech • Pet
Lead growth analytics for a marketplace: partner across product, marketing, sales, and finance to identify opportunities, size impact, run experiments, maintain dashboards, and translate findings into action to move North Star metrics and OKRs.
Top Skills:
A/B TestingAISQL
Gaming • Sports
Own Splash's growth analytics and attribution stack (AppsFlyer, Segment, Snowflake, dbt). Build attribution and LTV/CAC/payback models, maintain pipelines and reporting, drive funnel and contest analysis, reconcile ad spend to revenue, mentor junior analysts, and partner with marketing, product, and finance to inform budget and growth decisions.
Top Skills:
AppsflyerClaudeClaude CodeDbtGitGoogle Ads ApiMeta Marketing ApiMetabaseMixpanelMparticlePythonRudderstackSegmentSnowflakeSQLTiktok Api
Software
Lead growth analytics for Spark: analyze large datasets, design event tracking, build dashboards, run and validate experiments, model forecasting and LTV, ensure measurement/attribution integrity, and surface growth opportunities to product and marketing teams.
Top Skills:
AdjustAmplitudeAppsflyerBigQueryHeapHotjarKochavaLookerMixpanelPosthogPythonRRedshiftSnowflakeSQLTableau
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
