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Manager, Data Analytics

ABOUT THRIVE MARKET


Thrive Market was founded in 2014 with a mission to make healthy and sustainable living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy, and sustainable products at member-only prices. Every day, we help our 1.4M+ Members find better products, support better brands, and build a better world in the process. We are a profitable, half-billion-dollar revenue business proving that mission-focused companies can succeed. We are also a Certified B Corporation, recently became a Public Benefit Corporation, and are a Climate Neutral Certified company. Join us as we bring healthy and sustainable living to millions of Americans in the years to come.


THE ROLE


As Thrive Market continues to grow at an incredible rate, you'll have the opportunity to build the data and lead the data analytics function at the heart of the business. We've created a transparent, data-centric environment from the beginning and need a strong leader to drive our analytics initiatives forward.


Using your expertise in analytics and leadership, you will guide the team in transforming data into actionable business insights that drive growth. This isn't just about creating reports – it's about leading a team that delivers impactful analysis and solutions that directly influence business strategy. If you are someone who excels at both technical analytics and team leadership, is passionate about mentoring others, and is driven by delivering measurable results, then this is an ideal role for you.


As our Data Team continues to grow, we need a leader with the passion, experience, skills, and ability to turn our data into actionable insights. As our Data Analytics Manager, you'll provide expertise in bridging business and product needs with data solutions. As we continue to be a data-informed company, you’ll build the team and processes that ensure the quality of the data and the solutions provided.


RESPONSIBILITIES:
  • Analytics Leadership
  • Drive and sequence strategic analysis projects that deliver measurable business impact, ensuring alignment between team efforts and key business objectives
  • Establish and actively monitor success metrics, project milestones, and KPIs through:
  • Regular progress tracking and early risk identification
  • Proactive roadblock resolution and resource reallocation
  • Transparent stakeholder communication about project status and timeline adjustments

  • Balance strategic initiatives and operational needs by:
  • Developing frameworks to evaluate and prioritize competing requests
  • Creating sustainable processes that maximize team effectiveness on high-impact work

  • Oversee complex analyses that influence strategic business and product decisions:
  • Build and maintain critical dashboards and ad-hoc analyses that drive actionable insights across business functions
  • Establish and maintain analytics best practices, setting high standards for quality and consistency in all deliverables
  • Own end-to-end analytics solutions, from problem definition through implementation of recommendations
  • Drive and evangelize data-first culture through education and best practice sharing across the organization

  • Collaboration & Stakeholder Management
  • Champion data-driven decision-making by partnering with stakeholders to:
  • Translate business needs into clear analytical requirements and deliverables
  • Set realistic expectations and timelines for complex analytical initiatives
  • Align on success metrics and project scope

  • Build and maintain strategic partnerships through:
  • Regular communication on key analytics initiatives and their business impact
  • Joint prioritization of projects based on business value and resource requirements
  • Clear escalation paths for time-sensitive requests

  • Partner with Product and Data Engineering teams to:
  • Ensure analytics infrastructure supports product development initiatives
  • Align on technical requirements and dependencies
  • Drive efficient cross-functional collaboration
  • Lead data stewardship initiatives and promote data literacy across the organization
  • Create processes for data access control and appropriate data usage

  • Technical Leadership
  • Drive analytical excellence by:
  • Leading complex analyses that translate business questions into actionable insights
  • Guiding methodology selection and analytical approach for strategic initiatives
  • Establishing scalable frameworks for analysis and experimentation

  • Ensure technical quality through:
  • Development of consistent analytical standards and best practices
  • Implementation of efficient code review and knowledge-sharing processes
  • Clear documentation requirements that balance thoroughness with team efficiency

  • Partner with Data Engineering to:
  • Align on data infrastructure needs and technical dependencies
  • Optimize data models for analytical use cases
  • Ensure seamless integration of new data sources

  • Lead the design of scalable analytics solutions that:
  • Support both quick insights and deep analytical work
  • Enable self-service analytics where appropriate
  • Drive business growth through data-driven decision-making
  • Establish and maintain data governance standards that promote both innovation and reliability

  • Team Leadership
  • Build a high-performing analytics team by:
  • Providing clear direction while fostering trust and autonomy
  • Creating opportunities for analysts to lead strategic initiatives
  • Establishing regular feedback loops and growth discussions

  • Drive career development through:
  • Individualized growth plans aligned with team members' career goals
  • Opportunities to showcase work to senior stakeholders
  • Clear paths for technical and leadership advancement

  • Foster analytical excellence through:
  • Regular knowledge-sharing and training initiatives
  • A balanced approach to process implementation
  • Culture of innovation and continuous learning

  • Develop team capabilities by:
  • Identifying and growing areas of expertise
  • Creating mentorship opportunities within the team
  • Supporting cross-functional skill development


QUALIFICATIONS:
  • Required Qualifications:
  • M.S. or Ph.D. degree in statistics, computer science, operations research, computational physics, or a related field7+ years of work experience with a proven track record in data science and data analytics
  • Demonstrated experience in managing and developing senior analysts with a focus on career growth
  • Experience successfully leading technical teams through major infrastructure transitions
  • Track record of building and optimizing analytics workflows in fast-paced environments
  • Proven success in managing complex stakeholder relationships and competing priorities
  • Demonstrated ability to balance strategic initiatives with day-to-day operational needs
  • Track record of delivering measurable business impact through data-driven initiatives
  • Proficiency in SQL and at least one high-level programming language (Python, R, Java)
  • Experience with Snowflake or similar DB, large data ETL, and advanced SQL
  • Strong foundation in statistics and multivariate regression
  • Experience with data visualization tools (Domo, Tableau, or similar)
  • Strong leadership skills with a proven ability to empower teams while maintaining accountability
  • Experience implementing right-sized data governance that enables rather than hinders analytics work
  • Excellence in structured thinking and problem-solving approach
  • Proven ability to influence, negotiate, and align stakeholders on complex technical initiatives
  • Proven ability to clearly articulate data stories to business and technical audiences

  • Preferred Qualifications:
  • Experience in e-commerce and/or subscription businesses
  • Experience with large-scale data analysis in Hive or SparkProficiency in web analytics tools (Google Analytics, Amplitude, Mixpanel)
  • Experience with A|B testing


BELONG TO A BETTER COMPANY:
  • Comprehensive health benefits (medical, dental, vision, life and disability)
  • Competitive salary (DOE) + equity
  • 401k plan
  • 9 Observed Holidays
  • 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
  • Dog-Friendly Office
  • Free Thrive Market membership with exclusive employee discount
  • Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform

We're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process.

At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we encourage you to apply.

Thrive Market is an EEO/Veterans/Disabled/LGBTQ employer

At Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree!

If you need assistance or accommodation due to a disability, please email us at eeo@thrivemarket.com and we’ll be happy to assist you.

Ensure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com.

© Thrive Market 2024 All rights reserved.


JOB INFORMATION
  • Compensation Description - The base salary range for this position is $170,000 - $190,000/Per Year.
  • Compensation may vary outside of this range depending on a number of 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!


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What You Should Know About Manager, Data Analytics, Thrive Market

Are you passionate about data and ready to make a real impact? Thrive Market is seeking a Manager, Data Analytics to join our dedicated team in Los Angeles or remotely! As a rapidly growing online membership-based market, we deliver the highest quality healthy and sustainable products at member-only prices. This critical role will put you at the center of our data analytics function, allowing you to transform raw data into actionable insights that drive our business strategy and growth. We need a leader like you who excels not only in crunching numbers but also in leading and inspiring a talented team of analysts. You will oversee complex analyses that guide strategic decisions, build and maintain dashboards, and ensure our data integrity is at the forefront of everything we do. Your knack for communication will help you collaborate with key stakeholders, translating their business needs into clear analytical solutions. This position is not just about managing a team; it's about mentoring others, fostering a data-driven culture, and driving innovation through analytics. If you have a background in a related field, over 7 years of experience with a solid track record of impactful data initiatives, and a passion for healthy living and sustainability, then the role of Manager, Data Analytics at Thrive Market is perfect for you. Join us today and be a large part of our mission to bring healthy living to millions of Americans!

Frequently Asked Questions (FAQs) for Manager, Data Analytics Role at Thrive Market
What are the main responsibilities of the Manager, Data Analytics at Thrive Market?

The Manager, Data Analytics at Thrive Market will oversee strategic analysis projects that drive measurable business impact. This involves establishing success metrics, managing complex stakeholder relationships, and leading a high-performing analytics team to deliver actionable insights across the organization.

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What qualifications do I need to apply for the Manager, Data Analytics position at Thrive Market?

To qualify for the Manager, Data Analytics role at Thrive Market, candidates should have an M.S. or Ph.D. in a relevant field, 7+ years of work experience in data science and analytics, and proven leadership skills. Proficiency in SQL and experience with data visualization tools are also necessary.

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How does Thrive Market promote a data-driven culture through the Manager, Data Analytics role?

Thrive Market promotes a data-driven culture through the Manager, Data Analytics by encouraging teamwork and collaboration with various departments, implementing best practices, and educating employees on the importance of data stewardship and analytics, ensuring that data is utilized effectively throughout the organization.

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What tools and technologies should I be familiar with as the Manager, Data Analytics at Thrive Market?

As the Manager, Data Analytics at Thrive Market, familiarity with SQL, at least one programming language (such as Python or R), and data visualization tools like Tableau or Domo is essential. Knowledge of Snowflake, large data ETL processes, and web analytics tools will give you a strong edge.

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What opportunities for career growth exist within the Manager, Data Analytics role at Thrive Market?

Thrive Market's Manager, Data Analytics role offers various opportunities for career growth, including personalized development plans, chances for analysts to lead strategic initiatives, and pathways for technical and leadership advancement through regular feedback and mentorship opportunities.

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Common Interview Questions for Manager, Data Analytics
Can you describe your experience with analytics leadership as a Manager, Data Analytics?

When answering this question, highlight specific examples where you have led analytics projects, focusing on measurable outcomes and team dynamics. Discuss how you set clear goals, foster collaboration, and ensure alignment with business objectives.

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What methodologies do you prefer for analytical problem solving?

Share your approach to analytical problem solving, discussing various methodologies you've used, such as A/B testing or multivariate analysis, and how these have led to actionable insights that benefit the organization.

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How do you ensure data quality and integrity within your analytics team?

Emphasize the processes you implement for ensuring data quality, such as regular audits, validation processes, and establishing clear data governance standards that guide your team and maintain high standards.

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How do you prioritize competing analytical requests from different stakeholders?

Explain your approach to evaluating and prioritizing requests by aligning them with business objectives, considering impact and resource availability, and ensuring a transparent communication process with the stakeholders.

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Can you give an example of how you've translated business needs into analytical deliverables?

Provide a specific example where you worked closely with business teams to understand their challenges and how you translated these needs into actionable analytics that produced valuable insights.

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What experience do you have with data visualization tools?

Discuss your proficiency with data visualization tools like Tableau or Domo, providing examples of important dashboards you've created and how they have influenced decision-making processes in your previous roles.

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How do you foster a culture of data literacy among non-technical teams?

Detail your strategies for promoting data literacy, such as training workshops, creating easy-to-understand guides, or initiating regular discussions that help demystify analytics concepts for non-technical members of the organization.

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What techniques do you use to manage and mentor analysts in your team?

Highlight your mentorship approach, including individualized growth plans, continuous feedback, and creating opportunities for team members to take the lead on projects which helps build their confidence and skills.

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How do you measure the success of analytics initiatives in your team?

Explain how you establish success metrics and KPIs that align with the business goals, and provide examples of how you track these metrics over time to report back to stakeholders on progress and outcomes.

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What is your approach to communicating complex data findings to a non-technical audience?

Discuss your strategy for simplifying complex concepts, such as using storytelling techniques or visual aids, and your focus on ensuring that findings are actionable and relevant to your audience.

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To make healthy living easy and affordable for everyone.

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Full-time, hybrid
DATE POSTED
December 5, 2024

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