Senior Member Marketing Analyst

August 22

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Carrot Fertility

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A complete global solution that makes fertility benefits affordable and accessible to all

fertility • employee benefits • fertilitybenefits • healthcare • fertilitycoverage

201 - 500

💰 $75M Series C on 2021-08

Description

• Own the marketing member data strategy • Define and maintain team KPIs aligned with achieving business objectives and to identify trends, measure improvements over time, and tell the ROI story • Conduct quality checks and drive continuous improvement in data collection, integration, and accuracy to instill confidence in data integrity among teams • Collaborate with BI, data science, product, and engineering to meet current and future data collection needs • Mentor team members and contribute to the BI body of knowledge through discussion and documentation

Requirements

• Bachelor’s Degree in a quantitative field (statistics, marketing analytics, CS, or related) with a minimum of 5-7 years of relevant experience. • 3+ years of hands-on experience with B2C or B2B2C marketing analytics, A/B testing, campaign measurement, and lifecycle optimization across channels like email, SMS, social media, SEM. • Experience in healthcare, tech, and/or health-tech space is a plus. • Familiarity with engagement-based models and strategies and ways your work enabled revenue growth • Proficiency with data warehouse platforms (e.g., Snowflake, AWS), web analytics tools (Google Analytics), paid marketing platforms (Google, Facebook), and marketing automation platforms (Blueshift, Salesforce Marketing Cloud) • Experience with conversion funnel analytics, customer segmentation and personalized targeting strategies. • Working knowledge of Python for data analysis. • Familiarity with advanced analytics, machine learning, and predictive modeling techniques. • Experience using dbt to model, test, and document data. • Advanced knowledge of SQL and ability to write efficient and complex SQL queries. • Experience with statistics concepts and analysis (e.g., hypothesis testing, regression). • Expertise with data visualization software (e.g., Tableau, Domo). • Comfort working with version control systems (Git preferred). • Ability to execute on ambiguously-defined questions and translate business requirements into technical requirements. • Experience with best practices surrounding data governance, data modeling, and data quality. • Excellent organizational skills with the ability to prioritize and adapt in a fast-paced, high-growth environment. • Strong communication and data presentation skills with both marketing and technical teams.

Benefits

• Health and wellness benefits • Retirement savings plans • Short- and long-term incentives • Parental leave • Family-forming assistance • Competitive compensation package