Requirements

Must-haves

3+ years of marketing or business analytics experience focused on deriving insights and guiding strategy through data
Experience with SQL and data warehouse (Snowflake preferred)
Experience with Python for data analysis (e.g. matplotlib, pandas, numpy, seaborn)
Experience with Tableau for building dashboards and data visualizations
Proficiency with statistical analysis techniques including hypothesis testing, regression, and experimental design
Proficiency with marketing analytics tools and attribution modeling
Skilled at identifying relevant marketing segments and building cohort profiles to inform campaign targeting strategies
Comfortable owning the full data insight loop—from defining metrics and criteria, to evaluating campaign effectiveness, and recommending iterations
Collaborates with data and product teams but receives direction from other departments, requiring adaptability and strong communication skills
Deep understanding of campaign performance metrics and conversion funnel analysis
Deep knowledge of customer segmentation strategies and lifecycle analytics
Knowledge of A/B testing methodologies and statistical significance
Strong ability to interpret data in context, understand stakeholder goals, and guide campaign or product decisions based on data-driven recommendations
Experience collaborating cross-functionally with product teams, marketing, and other internal stakeholders to define data needs and translate requirements into actionable insights
Strong communication skills in both spoken and written English

Nice-to-haves

Startup experience
Experience in healthcare, veterinary, or pharmaceutical domains
Background in customer acquisition and retention analytics
Familiarity with CRM tools and marketing automation platforms
Experience with machine learning for predictive modeling
Knowledge of pet care or veterinary business operations
Experience supporting B2B partnerships or delivering client-facing analytics
Bachelor's Degree in Computer Engineering, Computer Science, or equivalent

What you will work on

Partnership Campaign Analytics (60%)

Design and implement advanced segmentation strategies for partner campaigns (e.g. pets with chronic conditions, pets at risk of specific diseases)
Build automated dashboards to report campaign performance, ROI, and attribution (e.g. Tableau)
Run A/B tests on audience targeting, timing, and messaging to increase conversion
Develop predictive models to identify high-value pet parents for targeted services
Monitor and analyze the entire conversion funnel, from campaign exposure to vet visits

Strategic Analysis & Insights (25%)

Model lifetime value and perform cohort analysis across pet parent segments
Assess campaign attribution and incremental revenue impact for veterinary clinics
Analyze competitors and evaluate new market opportunities for partnerships
Build ROI projections and data-backed business cases to support partner acquisition
Uncover optimization opportunities across campaigns and analyze audience overlaps

Data Infrastructure & Reporting (15%)