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12 часов Π½Π°Π·Π°Π΄

Senior Data Analyst (SaaS)

170Β 000 - 210Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Senior Data Analyst (SaaS): Building trusted data models, metrics, and reporting systems that connect go-to-market performance, finance and billing, and product usage with an accent on production-grade modeling, metric reconciliation, and self-service reporting. Focus on defining SaaS business metrics, connecting product usage to commercial outcomes and gross margin, and establishing data-quality standards for business-critical datasets.

Location: San Francisco, United States; on-site in the office 5 days a week

Salary: $170,000–$210,000 per year, plus equity

Company

hirify.global builds a data platform for machine learning applications, combining high-performance infrastructure with developer-focused tools.

What you will do

  • Build production-grade data models unifying CRM, contracts, billing, finance, and product telemetry.
  • Define go-to-market metrics covering pipeline, conversion, bookings, ARR, forecast accuracy, retention, and expansion.
  • Create finance and billing reporting that reconciles contracts, usage, invoices, payments, credits, and the general ledger.
  • Define product metrics for activation, adoption, engagement, retention, and time-to-value.
  • Connect product usage with commercial outcomes, customer health, infrastructure costs, and gross margin.
  • Automate recurring reporting, improve instrumentation with Product and Engineering, and establish testing, documentation, lineage, and data-quality standards.

Requirements

  • 4+ years of experience in analytics engineering, data engineering, business intelligence, or a related role.
  • Advanced SQL skills and experience building modular, tested data models with dbt or a comparable framework.
  • Experience with B2B SaaS go-to-market data, billing or finance workflows, and product-event data.
  • Experience reconciling inconsistent systems and creating trusted metric definitions.
  • Strong communication, attention to detail, and comfort owning ambiguous problems in a fast-moving environment.

Nice to have

  • Proficiency in Python.

Culture & Benefits

  • Work in the office five days per week, with flexibility for unavoidable conflicts.
  • Partner closely with Revenue, Finance, Product, Engineering, and company leadership.
  • Equity offered as part of the compensation package.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’