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Analytics Senior Manager

We are hiring an Analytics Senior Manager  for our consumer business to add tremendous value to our company in a critical role requiring both development of a consumer analytics strategy as well as hands-on execution. The Analytics Senior Manager  will work both independently and with business stakeholders to build out an analytics roadmap, identifying the areas of the business that are ripe for analytics-driven insight, and analyze our data and turn it into useful information​. This requires ​proficiency in business intelligence tools, strong database skills (SQL), a technical understanding of data architecture and modeling, and a strong business sense. Reporting directly to the General Manager of the consumer business, you will work with other analytics team members, business stakeholders, and data engineers to understand what our data means, where it is lacking, and how it can be modeled to make it available for analysis and visualization.


We are in high-growth startup mode and need someone who is willing to get their hands dirty. If you are passionate about both building out an analytics strategy and foundation, as well as tactically turning data into information that can be used to make better and faster business decisions, and are looking for an opportunity to​ learn, build, optimize, and grow in your career, Everly Health is the place for you.


What You'll Do:
  • Develop a robust analytics strategy for the consumer business unit, building and executing a roadmap for analytics projects that support strategic goals
  • Set best-in-class practices and technical standards for analytical processes, solutions development, and data management
  • Partner with consumer business leaders on strategic initiatives such as annual and quarterly OKR planning, including helping to define how KPIs should be measured
  • Collaborate with the data engineering organization to drive a unified customer data model; drive advanced analytics processes such as predictive analytics to inform customer segmentation and acquisition strategies
  • Leverage AI to broaden the capacity of the analytics organization (e.g., find opportunities to use AI to aid in the building of data models) 
  • Strength the organization’s self-serve data capabilities (e.g., build a more robust set of Looker dashboards with validated data quality) 
  • Champion a data-centric culture within the organization, advocating for analytics and data literacy
  • Analyze complex data sets, extracting insights using business intelligence tools like Looker, and distilling data into actionable insights for stakeholders
  • Perform ad-hoc analyses that uncover the root causes of business trends, enabling deeper insights
  • Ensure data accuracy, completeness, and reliability through validation practices.
  • Address data-related system integration challenges and propose innovative solutions to improve data workflows


Who You Are:
  • 7+ years of experience in an analytical function 
  • Exceptional analytical ability, conceptual thinking, and problem-solving skills
  • Strong written and verbal communication skills and demonstrated ability to distill complex data sets into actionable insights
  • Excellent interpersonal skills with the proven ability to collaborate across functional areas to define, prioritize and implement analytics efforts
  • Mastery of SQL and a solid understanding of data architecture and modeling
  • Expert skill with a data visualization product like Looker
  • A keen ability to multitask, prioritize, meet deadlines, and communicate expectations. When something’s not going well, you can autonomously figure out the root cause, and apply your learnings to quickly resolve the issue and underlying cause.
  • Ability to identify and solve for underlying operational challenges and opportunities rather than simply executing prescribed processes
  • Flexibility and ability to work in a fast-changing environment. You are comfortable navigating ambiguity and developing best practices as you go!


This salary range for this position is $170,000 - $205,000 based on the selected candidate's qualifications, market data/ranges, location (ATX or NYC) and internal equity. This position is also eligible for an annual bonus, health, dental, vision & mental health insurance, 401(k) with company match, Flexible PTO, a monthly $100 wellness stipend and various other perks.

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Average salary estimate

$187500 / YEARLY (est.)
min
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$170000K
$205000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Analytics Senior Manager, Everly Health

Join Everly Health as an Analytics Senior Manager and be at the forefront of making data-driven decisions that enhance our consumer business! Located in the thriving hubs of Austin, TX or New York, NY, you will have the unique opportunity to shape our analytics strategy while getting hands-on in execution. In this pivotal role, you will collaborate with business stakeholders to construct an actionable analytics roadmap, diving deep into data to unearth valuable insights that drive our strategic objectives. Your expertise in business intelligence tools, strong SQL skills, and understanding of data architecture will set you apart as you work closely with our talented analytics team and data engineers. Your innovative thinking will champion best-in-class practices and processes, from developing predictive analytics for customer segmentation to enhancing our self-serve data capabilities. At Everly Health, we’re looking for someone passionate about building strong analytics foundations while also having the agility to adapt in a dynamic startup environment. If you're ready to learn, build, and make an impactful contribution to our growing company, then we want you on our team. Together, we can optimize and elevate how we leverage data for better and faster business decisions. Let's transform analytics into powerful insights and take the Everly Health consumer business to new heights together!

Frequently Asked Questions (FAQs) for Analytics Senior Manager Role at Everly Health
What does an Analytics Senior Manager do at Everly Health?

As an Analytics Senior Manager at Everly Health, you will focus on developing a robust analytics strategy for our consumer business. This includes executing an analytics roadmap that aligns with strategic goals while analyzing complex data sets to turn insights into actionable information. You will leverage your expertise in SQL, business intelligence tools like Looker, and collaborate closely with business leaders and data engineers.

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What skills are required for the Analytics Senior Manager position at Everly Health?

The ideal candidate for the Analytics Senior Manager role at Everly Health should have 7+ years of experience in an analytical function, expertise in SQL, a strong grasp of data architecture, and mastery of data visualization products such as Looker. Additionally, exceptional analytical and problem-solving skills, along with strong interpersonal and communication abilities, are crucial to your success.

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What tools and technologies will an Analytics Senior Manager use at Everly Health?

In the Analytics Senior Manager position at Everly Health, you will primarily use business intelligence tools like Looker for data analysis and visualization. Proficiency in SQL is vital for data extraction and manipulation, and familiarity with advanced analytics techniques, including predictive analytics and AI applications, will enhance your contributions to the analytics team.

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How does the Analytics Senior Manager contribute to business strategy at Everly Health?

At Everly Health, the Analytics Senior Manager plays a critical role in shaping business strategy by collaborating with senior leadership on strategic initiatives. You will help define key performance indicators (KPIs) and leverage data insights to inform customer acquisition and segmentation strategies, ultimately supporting the company’s goals and objectives.

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What is the work environment like for an Analytics Senior Manager at Everly Health?

The work environment for an Analytics Senior Manager at Everly Health is dynamic and fast-paced, reflecting the culture of a high-growth startup. You will navigate ambiguity and adapt to changing circumstances, requiring a proactive mindset as you develop best practices and lead analytics initiatives within the consumer business unit.

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What opportunities for career development are available for Analytics Senior Managers at Everly Health?

Everly Health offers various opportunities for career development for the Analytics Senior Manager role, including the chance to learn advanced analytics techniques, build a robust analytics strategy, and enhance your leadership skills as you collaborate with cross-functional teams. Your contributions will directly impact the company’s growth, providing a clear path for professional advancement.

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What is the salary range for the Analytics Senior Manager position at Everly Health?

The salary range for the Analytics Senior Manager position at Everly Health is competitive, typically between $170,000 and $205,000. This range is based on the selected candidate's qualifications, market data, location (Austin, TX or New York, NY), and internal equity. Additionally, this role is eligible for an annual bonus and various employee benefits.

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Common Interview Questions for Analytics Senior Manager
Can you describe your experience with business intelligence tools as an Analytics Senior Manager?

To answer this question effectively, detail specific business intelligence tools you've used, such as Looker or Tableau. Discuss projects where data visualization played a key role in decision-making and highlight your ability to translate complex data into actionable insights for stakeholders.

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How do you prioritize multiple analytics projects as an Analytics Senior Manager?

Share your approach to prioritization, such as using frameworks to assess project impact versus effort. You could mention examples of successful project prioritization in your previous roles, emphasizing collaboration with stakeholders to align project goals with business objectives.

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What strategies do you use to communicate complex data insights to non-technical stakeholders?

Discuss techniques such as using storytelling, visuals, or dashboards to convey complex data insights simply and engagingly. Give examples of how you've previously bridged communication gaps and influenced decision-making through effective data presentation.

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Can you explain your approach to ensuring data accuracy and reliability?

Highlight your methodology for data validation, such as implementing systematic checks and cross-referencing data sources. Discuss your experience with maintaining data integrity and how you have resolved discrepancies in past roles.

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What is your experience with predictive analytics in your previous roles?

Talk about specific predictive analytics models you have built or utilized. Explain their purpose and how they provided insights into customer behavior or business trends, showcasing your ability to apply analytics in a strategic context.

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How do you stay updated on the latest trends and technologies in analytics?

Share your commitment to continuous learning through tools like webinars, online courses, or industry conferences. Mention any specific resources you follow, such as thought leaders or tech blogs, that help you stay informed about advancements in analytics.

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Describe a time when your analytics work directly impacted a business decision.

Narrate a compelling story or example where your analytics insights led to a significant business outcome. Focus on the problem, your analysis, and how your recommendations were implemented to drive results.

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How do you collaborate with data engineering teams to unify customer data models?

Emphasize your collaborative approach to working with data engineering teams, illustrating your understanding of data architectures. Discuss how you ensure alignment on project goals and the importance of a unified data model for analytics accuracy.

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What challenges have you faced in implementing analytics strategies, and how did you overcome them?

Be ready to discuss specific challenges, such as resistance to change or integration challenges, and outline the strategies you employed to address them. Highlight your problem-solving skills and adaptability in these situations.

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Why are you passionate about analytics in the consumer business space?

Convey your enthusiasm for the field by discussing the impact of data-driven decisions on improving customer experiences and driving business growth. Share personal examples or anecdotes that illustrate your commitment to leveraging analytics effectively.

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Everly Health's mission is to transform lives with modern, diagnostics-driven care.

17 jobs
MATCH
VIEW MATCH
BENEFITS & PERKS
Dental Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA)
Vision Insurance
Performance Bonus
Paid Holidays
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
November 27, 2024

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