12 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Senior Data Analyst (SaaS)
170Β 000 - 210Β 000$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
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: $170,000β$210,000 per year, plus equity
Company
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.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
ΠΠΎΡ ΠΎΠΆΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Twilio
4 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Senior Analytics Engineer (SaaS)
141Β 520 - 208Β 000$
7 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
Manager, Risk Analytics (AI)
160Β 000 - 180Β 000$
4 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Senior Data Engineer (AI)
158Β 000 - 214Β 000$
7 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Data Analyst (AI Infrastructure)
180Β 000 - 250Β 000$
4 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Manager, Data Engineering (DAFgiving360)
145Β 000 - 170Β 000$
ClickUp
3 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Product Analytics Leader (AI)
205Β 000 - 251Β 000$