Pure Storage

Pure Storage

Senior Analytics Engineer, GTM

Santa Clara, California · Senior

Sponsorship not specifiedDetected 129 days ago
PythonSQLSnowflakeCI/CDdbtData EngineeringData VisualizationAccessibilitySalesforceSalesForecastingHRISTest AutomationCommunicationCollaboration

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40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 5 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 100%

Of 51 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 497 days.98% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

32 transfer filings in the last year, covering 32 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We are midway through a strategic migration to dbt as our transformation standard.
  • Beyond that, our roadmap includes scalable automation frameworks, semantic business intelligence, and AI-enabled workflows that help surface insights with less manual effort.
  • Ingest and transform data from APIs and GTM systems into curated canonical datasets with strong quality standards

Responsibilities

  • As a Senior Analytics Engineer, you will help drive that journey end-to-end.
  • This role is for someone who wants to build - not maintain.
  • Build scalable semantic and metrics layers supporting GTM domains including pipeline, forecasting, quota, attainment, and seller performance
  • Design and maintain robust ELT/ETL pipelines, orchestration workflows, and reusable business-facing datasets
  • Drive architecture decisions and establish modern analytics engineering best practices across the team

Requirements

  • 7+ years of experience in analytics engineering, data engineering, or business intelligence
  • Strong expertise in SQL, Python, Snowflake, and modern ELT development practices
  • Hands-on experience with dbt, orchestration workflows, and scalable data modeling
  • Experience implementing CI/CD, automated testing, observability, and data quality frameworks
  • Strong understanding of semantic modeling, metrics layers, governed metrics, and reusable analytics datasets
  • Ability to influence technical direction while remaining hands-on

Nice to have

  • GTM, Sales, Revenue Operations, or forecasting analytics domains
  • Salesforce, Clari, Anaplan, Workday, or related enterprise systems
  • Analytics engineering modernization initiatives
  • Self-service analytics ecosystems and semantic layers
  • Conversational analytics, AI copilots, or workflow automation concepts
  • Experience migrating legacy SQL or ETL frameworks into modern dbt-based transformation workflows
  • Tableau or modern BI visualization platforms

Skills

  • Help automate manual reporting and operational workflows through configurable and scalable frameworks

Company info

  • We're in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry.
  • Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
  • 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.
  • 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.
  • The GTM BI team at Pure Storage supports Revenue Operations across pipeline, forecasting, seller performance, and executive reporting - and we are at an inflection point.
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This listing is sourced directly from Pure Storage's careers page and normalized into a canonical job model.