Data & Analytics Manager – Product Analytics

Posted 3 Days Ago
Santa Clara, CA, USA
In-Office
153K-230K Annually
Entry level
Software
The Role
Partners with Product leaders to solve ambiguous business problems through forecasting, modeling, segmentation, cohort analysis, scenario analysis, dashboards, and executive insights. Owns analytical initiatives from problem framing through implementation and measurable outcomes. Uses SQL across large enterprise datasets and applies generative AI and LLM tools to analyze structured and unstructured data, while validating AI-generated outputs. Prioritizes analytics requests, improves recurring workflows, and communicates recommendations to senior stakeholders.
Summary Generated by Built In

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE
Everpure's Product Business Unit makes bets on what to build, price, and bring to market and this role is how those bets get pressure-tested against evidence. You'll sit directly with Product leaders as their analytics partner, taking questions that arrive ambiguous ("why is adoption flattening on this platform?") and returning frameworks, models, and recommendations that change what the team does next. What makes this different from a reporting role is the ownership: you define the problem, do the analysis yourself, and stay with it through implementation. Comfort using AI in your daily work is essential here. This team expects you to reach for LLM tools to move faster, whether that's accelerating an analysis, making sense of unstructured text, or cutting the time recurring work takes.

WHAT YOU'LL DO

  • Act as the analytics partner to Product BU leaders, owning the insight generation behind Quarterly Business Reviews and other executive business reviews
  • Take complex, loosely defined business problems end to end — framing and hypothesis through analysis, solution design, executive-ready dashboards, and implementation
  • Build the forecasting models, business models, segmentation, and scenario analyses that inform decisions on product performance, pipeline, bookings, customer adoption, installed base, and product usage
  • Use LLM tools to accelerate your own analysis and extract signal from unstructured text like support cases, sales notes, and customer and product feedback, applying judgment about when AI output needs verification before it reaches a decision-maker
  • Triage incoming analytics requests from Product Managers and stakeholders, set priorities and clear accountability for delivery, and standardize or automate the work that shouldn't need doing twice

WHAT YOU BRING

  • Advanced SQL and the fluency to work independently across large, messy enterprise datasets in platforms like Snowflake, Databricks, or BigQuery, including CRM data and product telemetry
  • Strong hands-on modeling range, i.e. forecasting, business modeling, scenario analysis, segmentation, cohort analysis, and root cause investigation, and the judgment to know which approach a given question actually calls for
  • Day-to-day working use of generative AI and LLMs in analytics work, and a critical eye for when AI output isn't reliable enough to act on
  • A track record of owning complex analytical initiatives yourself, from first conversation through implementation and measurable outcome, without needing the problem handed to you pre-scoped
  • Credibility with senior business leaders; you can translate their priorities into analytical work and translate results back in terms they can act on
  • We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. 

This role may be eligible for incentive pay and/or equity. 

There is no application deadline and we accept applications on an ongoing basis until the job is filled.

The annual base salary range is:
$153,000$230,000 USD

WHAT YOU CAN EXPECT FROM US:

  • Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
  • Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
  • Team: We build each other up and set aside ego for the greater good.

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out http://benefits.everpuredata.com/ for more information.

ACCOMMODATIONS AND ACCESSIBILITY:

Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at [email protected] if you’re invited to an interview.

OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:

We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.

Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

Join us and bring your best.

Bring your bold.

Pure and simple.

Skills Required

  • Advanced SQL skills and ability to work independently across large, messy enterprise datasets
  • Experience working with data platforms such as Snowflake, Databricks, or BigQuery
  • Experience working with CRM data and product telemetry
  • Hands-on experience with forecasting, business modeling, scenario analysis, segmentation, cohort analysis, and root cause investigation
  • Day-to-day use of generative AI and LLMs in analytics work
  • Ability to evaluate the reliability of AI-generated outputs
  • Track record of independently owning complex analytical initiatives through implementation and measurable outcomes
  • Ability to translate business priorities into analytical work and communicate results to senior leaders
  • Ability to work primarily in-office at the Santa Clara, California office

Everpure Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Everpure and has not been reviewed or approved by Everpure.

  • Equity Value & Accessibility Equity and stock purchase programs are described as meaningful parts of total compensation, with RSUs and an ESPP highlighted as strengths.
  • Strong & Reliable Incentives Sales compensation is structured to support long sales cycles, including policies that pay full commission until the first sale for new or white‑space accounts.
  • Healthcare Strength Health coverage is portrayed as comprehensive, with multiple medical options, fully covered vision, dental PPO choices, mental‑health resources, and company HSA contributions.

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The Company
HQ: Santa Clara, CA
4,090 Employees
Year Founded: 2009

What We Do

Pure Storage (NYSE:PSTG) helps innovators build a better world with data. Pure's data solutions enable SaaS companies, cloud service providers, and enterprise and public sector customers to deliver real-time, secure data to power their mission-critical production, DevOps, and modern analytics environments in a multi-cloud environment. One of the fastest growing enterprise IT companies in history, Pure Storage enables customers to quickly adopt next-generation technologies, including artificial intelligence and machine learning, to help maximize the value of their data for competitive advantage. And with a Satmetrix-certified NPS customer satisfaction score in the top one percent of B2B companies, Pure's ever-expanding list of customers are among the happiest in the world.

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