Associate Forward Deployed Engineer, Public Sector
Salesforce
CloudETLJavaJavaScriptPythonSFDCTableau
Senior Data Analyst, Lifecycle Marketing
Thrive Market
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $130,000 - $170,000 per year
Job Level
Senior
Tech Stack
CloudJavaPythonScalaSparkSQLTableau
About the role
- Lead high-impact, end-to-end analytics projects that inform key business and product strategies
- Partner cross-functionally with stakeholders to align on priorities and translate questions into analytical frameworks
- Deliver clear, data-driven insights that influence decision-making across the organization
- Design and maintain dashboards, models, and datasets that empower business teams to self-serve and track performance
- Identify data quality issues and help resolve inconsistencies across source systems
- Leverage external and internal data to uncover category and pricing opportunities
- Support lifecycle and engagement analytics to inform retention, LTV, and user journey improvements
- Collaborate with Finance to measure and forecast the financial impact of product and business decisions
- Respond to ad hoc analytical requests with accuracy, efficiency, and business context
- Bring thought leadership to Thrive Market’s data practices — recommending new ways to enhance our analytical toolkit and processes
- Partner with the Retention Marketing team to evaluate customer journey touchpoints, measuring the effectiveness of email, SMS, and app engagement campaigns
- Build dashboards and models to monitor lifecycle KPIs (churn, reactivation, engagement rates), identifying opportunities to improve retention and loyalty
- Deliver insights that inform personalization strategies and CRM segmentation, enabling more relevant, data-driven communications that enhance customer lifetime value
Requirements
- 7+ years of experience in data analytics, with a strong track record of business impact
- MBA with a focus in analytics, strategy, or a related quantitative field
- Advanced SQL skills
- Proficiency in a programming language (e.g., Python, Java, Scala, or C++)
- Experience with large-scale data tools such as Hive, Spark, or similar
- Hands-on experience with Snowflake or other modern cloud data warehouses
- Strong foundation in statistics and multivariate regression
- Expertise in data visualization and BI tools (Domo, Tableau, Looker, etc.)
- Ability to clearly communicate insights to non-technical audiences and influence decision-making
- Experience in eCommerce or subscription businesses is a strong plus
- Familiarity with A/B testing, web analytics (GA, Amplitude, Mixpanel), and customer journey analysis
- Curious, collaborative, and highly self-motivated — with a bias for action and a business-first mindset
