GitHub

GitHub

Data Analyst II

United States · Mid

Sponsorship not specifiedDetected 180 days ago
PythonGitSQLAzureAirflowData AnalysisData EngineeringData ScienceData VisualizationStatisticsKQLSalesforceSalesPipeline ManagementFinancial AnalysisHRISLeadershipInternal Audit

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 100%

Of 5 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 483 days.100% 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

1 transfer filing in the last year, covering 1 worker. 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 seeking an experienced Data Analyst, with a focus on billing and revenue analytics, to apply in-depth knowledge of our financial data landscape to proactively identify opportunities and influence key business outcomes.

Responsibilities

  • Reporting and sharing results: Develop, maintain, and enhance reporting on revenue across products, geographies, and segments to identify growth drivers, performance trends, and areas of risk.
  • Customer/Stakeholder engagement: Partner with Sales Ops and Finance to analyze sales commissions, quota attainment, and incentive plan effectiveness, providing insights to optimize compensation strategies.
  • Sales Pipeline to Revenue Insights: Build models and dashboards that connect pipeline metrics, bookings, and billed revenue outcomes, enabling leadership to forecast with greater accuracy.
  • Data Model Evaluation: Consolidate and align data from Salesforce, billing platforms, and financial systems to create a single source of truth for revenue and commission reporting.
  • Territory & Quota Planning Support: Provide data-driven recommendations for territory alignment, quota setting, and incentive plan design based on historical revenue performance and market potential.
  • Executive Reporting: Deliver clear, concise, and actionable revenue and commission insights to senior leadership through dashboards, scorecards, and presentations.
  • Own the outcome
  • Create clarity
  • Deliver success

Requirements

  • 3+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • 3+ years experience with in SQL, KQL, and/or Python for data querying and transformation
  • 3+ years of experience with data visualization tools (Power BI, Tableau) and data storytelling best practices
  • Required Qualifications
  • OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 1+ year(s) experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.
  • 3+ years experience developing and maintaining ETL pipelines (Azure Data Factory, Airflow, or similar)
  • Preferred Qualifications
  • Compensation Range

Nice to have

  • 5+ years of experience in data analysis or business intelligence
  • Master's degree in a relevant field
  • Consulting experience or prior work in a high-growth SaaS company
  • Familiarity with Salesforce, Workday, and other enterprise data sources
  • Solid understanding of SaaS and revenue metrics
  • Customer-obsessed
  • Diverse and inclusive

Compensation

  • The base salary range for this job is USD $68,200.00 - USD $181,000.00 /Yr.
  • These pay ranges are intended to cover roles based across the United States.
  • An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant.
  • At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock.

Company info

  • GitHub is the world's leading AI-powered developer platform with 150 million developers and counting.
  • We're also home to the biggest open-source community on earth (and 99% of the world's software has open-source code in its DNA).
  • Many of the apps and programs you use every day are built on GitHub.
  • Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!).
  • At GitHub, our goal is to create the space you need to do your best work.
  • We're remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are-because we know that people flourish when they can work on their own terms.
  • Join us, and let's change the world, together.
  • EEO Statement
  • GitHub is made up of people from a wide variety of backgrounds and lifestyles.
  • We embrace diversity and invite applications from people of all walks of life.
  • We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences.
  • Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

Visa & Work Authorization

  • ployees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences
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This listing is sourced directly from GitHub's careers page and normalized into a canonical job model.