Senior Data Analyst
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Los Angeles, CA, USA · Remote
RESPONSIBILITIES:
- Contribute to multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market
- Collaborate with other technical teams to deliver data solutions that meet business and technical requirements; define technical requirements and implementation details for the underlying data lake, data warehouse, and data marts
- Identify, troubleshoot, and resolve production data integrity and performance issues
- Collaborate with all areas of data management as lead to ensure patterns, decisions, and tooling are implemented by enterprise standards
- Perform data source gap analysis and create data source/target catalogs and mappings
- Develop a thorough knowledge and understanding of cross-system integration, interactions, and relationships to develop an enterprise view of Thrive Market’s future data needs
- Develop a deep understanding of user behavior patterns and insights and correlate engagement metrics with conversion rates, customer lifetime value, and financial performance
- Develop dashboards, visualizations, and granular datasets that provide actionable insights on subscriber acquisition user flow enhancements
- Serve as tactical liaison for Product Management teams to provide the most accurate and relevant information to help drive meaningful business decisions
- Continually design, test, and deploy new reports - all to provide a state-of-the-art reporting environment
- Respond to ad-hoc reporting needs while ensuring data accuracy & integrity
- Adapt and move quickly in a fast-paced environment, with a pragmatic approach to analysis
- Leverage external industry data to identify assortment gaps and category opportunities
- Create price optimization tools & analysis to help category managers make the best pricing decisions vs. competitive sites
- Partner with the Finance team to translate product decisions into member and financial impact for our business
- Develop a deep understanding of user behavior patterns and insights and correlate engagement metrics with conversion rates, customer lifetime value, and financial performance
- Develop dashboards, visualizations, and granular datasets that provide actionable insights on merchandising, category behavior & margin opportunities
- Serve as tactical liaison for Product Management teams to provide the most accurate and relevant information to help drive meaningful business decisions
- Continually design, test, and deploy new reports - all to provide a state-of-the-art reporting environment
- Respond to ad-hoc reporting needs while ensuring data accuracy & integrityAdapt and move quickly in a fast-paced environment, with a pragmatic approach to analysis
QUALIFICATIONS:
- M.S. or Ph.D degree in statistics, computer science, operations research, computational physics, or a related field
- 7+ years of work experience with a proven track record in data science and data analytics
- Proficiency in at least one high-level programming language like Java / Scala / Python / C++ and SQL
- Experience with large-scale data analysis in Hive or Spark is a plus
- Experience in e-commerce and subscription businesses, billing cycles, and payment instrumentsExperience with Snowflake or similar DB, large data ETL, and advanced SQL
- Experience in statistics and multivariate regression
- Strong data visualization skills; and familiarity working with Domo, Tableau, or similar technologies
- Ability to simply and persuasively communicate key insights to non-technical stakeholdersIntellectual curiosity and a strong sense of initiative
- Ability to demonstrate flexibility and integrity: be able and willing to work hands-on, independently or with a small team providing leadership
- Passion for turning data into insights and helping others unlock the power of their data
- Good leadership skills with a positive attitude and a proactive / self-starter mindset
- Be a team player with character, high humility, and integrity, helping build a healthy team environment
- Proven ability to clearly articulate data stories to business and technical audiencesProficiency and solid foundation in statistics
- Proficiency in web analytics tools including Google Analytics, Amplitude, Mixpanel
- Proficiency in business intelligence dashboarding tools like Tableau, Looker, Domo, or similar
- Experience with A|B testing is a plus
BELONG TO A BETTER COMPANY:
- Comprehensive health benefits (medical, dental, vision, life and disability)
- Competitive salary (DOE) + equity
- 401k plan
- 9 Days of Observed Holiday
- Flexible Paid Time Off
- Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences
- Ability to work in our beautiful co-working space at WeWork in Playa Vista and other locations
- Free Thrive Market membership with exclusive employee discount
- Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform
JOB INFORMATION:
- Compensation Description - The base salary range for this position is $150,000 - $180,000/Per Year.
- Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location.
- Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more!
This job is no longer accepting applications
See open jobs at Thrive Market.See open jobs similar to "Senior Data Analyst" M13.
