Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
BI @ 4
CRM @ 4
Codex
Google Sheets @ 7
Looker @ 4
Marketing @ 6
PostgreSQL
Power BI @ 4
Reporting @ 4
SQL @ 7
Salesforce @ 4
Tableau @ 4
dbt @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Nebius is building a full-stack AI cloud platform for data and model training through production deployment. The Senior GTM Analyst will join the Sales Operations / GTM Analytics team and own core GTM reporting, analytics, and high-impact analytical workstreams supporting decisions on commercial performance, capacity, coverage, and GTM investment. The role works across Salesforce, Postgres/YTsaurus, Tableau, Excel, and other data sources to produce reliable reporting, analytical models, insights, and recommendations. The role reports to the Senior Manager, GTM Analytics and Insights.
Responsibilities
- Build, maintain, and improve Tableau and Salesforce dashboards and recurring GTM reports.
- Lead analytical workstreams covering annual planning, territory and coverage design, pipeline generation, sales productivity, forecasting, capacity planning, and resource allocation.
- Write SQL queries to investigate pipeline, bookings, conversion, activity, territory, productivity, and funnel performance trends.
- Own GTM dashboards, metric definitions, reporting logic, and recurring performance reporting as scalable products.
- Understand and influence the data model behind reports, including source systems, joins, aggregation grain, refresh logic, ownership, and known data-quality issues.
- Investigate metric inconsistencies and identify whether root causes relate to business performance, data quality, systems design, logic, or interpretation.
- Partner with CRM, Data, and Systems teams to ensure Salesforce and warehouse architecture supports scalable reporting and analytics.
- Translate ambiguous stakeholder requests into clear analysis and repeatable reporting products.
- Develop analytical frameworks and models for scenario planning, resource allocation, productivity measurement, and GTM investment decisions.
- Support GTM planning, territory reviews, forecasting, and performance deep dives.
- Proactively identify business opportunities and questions that leadership should consider.
- Use Claude, Codex, and other AI tools to improve analysis, automate repeatable workflows, and build internal analytics products.
- Document metric definitions, dashboard logic, data lineage, and reporting assumptions.
Requirements
- 5+ years of experience in analytics, Revenue Operations, Sales Operations, business intelligence, or a similar role, with experience owning senior analytical workstreams end to end.
- Strong SQL skills, including joins, common table expressions, aggregations, and window functions, with the ability to validate query logic against business definitions and source-system behavior.
- Experience with Tableau, Power BI, Looker, Salesforce reporting, or a similar BI/reporting tool.
- Strong Excel or Google Sheets skills for analysis, quality assurance, and stakeholder-facing reporting.
- Comfort using AI tools for analysis, documentation, automation, and internal workflows.
- Strong understanding of GTM metrics, including pipeline, ARR, bookings, conversion rate, win rate, sales cycle, quota attainment, funnel stages, and sales productivity.
- Experience working with Salesforce data or another CRM, including awareness of data-quality, process, and systems-architecture issues.
- Ability to influence senior non-technical stakeholders, communicate findings clearly, and explain data limitations.
- Strong attention to detail regarding metric definitions, data quality, dashboard logic, and source-of-truth decisions.
- Curiosity about how Sales, Marketing, Customer Success, and Finance processes are reflected in data.
Nice To Have
- Experience with dbt, Postgres, YTsaurus, or similar analytics engineering and warehouse tools.
- Experience supporting Sales Operations, Revenue Operations, GTM strategy, Data, Systems, or analytics engineering teams.
- Familiarity with territory planning, forecasting, capacity planning, resource allocation, lead routing, account segmentation, quota setting, or compensation reporting.
- Experience in a fast-moving SaaS, cloud, infrastructure, or B2B technology company.
- Interest in using AI tools to automate reporting and improve analytics workflows.
Benefits
- Base compensation range of $145,000–$172,000 USD.
- 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan with up to a 4% company match and immediate vesting.
- Paid parental leave of 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
- Remote work reimbursement of up to $85 per month for mobile and internet.
- Company-paid short-term, long-term, and life insurance.
- Career growth and learning opportunities, flexibility and ownership, a collaborative culture, and the opportunity to work on impactful AI projects.
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility.
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