The Role
Analyze subscription customer behavior, lifecycle metrics, retention, churn, and growth opportunities. Define KPIs, support A/B testing and causal analysis, improve tracking and data quality, build BI dashboards, and translate findings into actionable recommendations for cross-functional stakeholders. The role also establishes analytics best practices and supports product strategy through complex SQL, experimentation, data modeling, and reporting.
Summary Generated by Built In
We are looking for a talented Senior / Lead Data Analyst to join our partner’s Decision Science team and drive data-driven insights and strategy for their subscription products. You’ll work closely with Product, Engineering, Marketing, Design, and Finance teams to analyze the subscription lifecycle, identify growth opportunities, improve retention, and support business decision-making.Position Details
- Start: ASAP
- Location: Remote
- Workload: Full-time
- English: B2+ / Upper-Intermediate or higher
- Partner with Product, Design, Engineering, and Marketing teams to define KPIs and performance metrics across acquisition, engagement, retention, and churn.
- Analyze subscription customer behavior and proactively identify growth, engagement, and retention opportunities.
- Collaborate with Data Engineering teams to improve behavior tracking, data models, and data quality.
- Support A/B testing and experimentation, including hypothesis formation, test design, statistical analysis, and post-test evaluation.
- Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders.
- Build and maintain interactive dashboards and reporting solutions using BI tools such as Looker or Tableau.
- Identify analytical gaps and improve the data and reporting processes that support subscription product decisions.
- Establish and promote best practices for tracking, analytics, and measurement across subscription products.
- 5+ years of experience as a Data Analyst, Product Analyst, Decision Scientist, or similar role.
- 5+ years of hands-on experience with complex SQL, including writing production-quality queries with minimal oversight.
- Strong experience in experimental design, statistical analysis, A/B testing, and causal inference.
- 3+ years of experience implementing custom tracking and establishing analytics best practices using a Customer Data Platform (CDP) such as Segment.
- Experience with BI and data visualization tools, such as Tableau, Looker, or Power BI.
- Experience working with dbt or ETL environments.
- Hands-on experience with client-side analytics and tagging tools such as Google Analytics, Google Tag Manager, or Amplitude.
- Strong analytical and problem-solving skills, with the ability to identify patterns, trends, and business opportunities.
- Excellent communication and stakeholder management skills.
- SQL: Advanced / production-level SQL
- Analytics: A/B testing, experimental design, statistical analysis, causal inference
- BI & Visualization: Tableau, Looker, Power BI
- Tracking & Analytics: Segment, Google Analytics, Google Tag Manager, Amplitude
- Data Transformation: dbt, ETL
- Data Modeling: Customer behavior and subscription data models
- Scripting: Python — nice to have
- Cloud & Data Platforms: AWS, Databricks — nice to have
- Experience working in subscription-based businesses, particularly in consumer-facing industries such as healthtech, e-commerce, or streaming.
- Experience with Python for data analysis and automation.
- Experience working with AWS and Databricks.
- Experience in a compliance-driven environment, such as HIPAA or PCI.
- Strong understanding of the healthcare industry and its evolving landscape.
- Experience working with cross-functional Product and Data teams in a fast-paced environment.
- Opportunity to work with our international partner on subscription products and data-driven initiatives.
- Work with large-scale customer and product data to influence product strategy and business growth.
- Collaboration with experienced Product, Engineering, Marketing, Design, Finance, and Data teams.
- Professional growth and knowledge-sharing opportunities.
- International and collaborative working environment.
Skills Required
- 5+ years of experience as a Data Analyst, Product Analyst, Decision Scientist, or similar role
- 5+ years of hands-on experience with complex SQL and production-quality queries
- Experience with experimental design, statistical analysis, A/B testing, and causal inference
- 3+ years of experience implementing custom tracking and analytics best practices using a Customer Data Platform such as Segment
- Experience with BI and data visualization tools such as Tableau, Looker, or Power BI
- Experience working with dbt or ETL environments
- Experience with client-side analytics and tagging tools such as Google Analytics, Google Tag Manager, or Amplitude
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management skills
- Experience in subscription-based businesses
- Experience with Python for data analysis and automation
- Experience working with AWS and Databricks
- Experience in compliance-driven environments such as HIPAA or PCI
- Strong understanding of the healthcare industry
- Experience working with cross-functional Product and Data teams
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The Company
What We Do
Founded in 2015, Helpware is a company taking a modern approach to the outsourcing industry. We created the company to change perceptions of what outsourcing is and can be, and we did that by building amazing cultures in each of our locations, and by simply treating our employees better. With Helpware, we are all a team and family, and you'll see that true difference when partnering with us. Helpware builds customized teams in Customer Service and Back Office for industry-leading startups and modern companies. With offices in California, Colorado, Kentucky, Ukraine, Philippines, Germany, and Mexico, we have the global scale to tailor custom teams and processes for success to our many powerhouse clients. Helpware has grown over the years, initially catering to startup client partners, and has now evolved into creating client partnerships with large enterprises as well.
