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Mid LevelFull-timeAWSAI
Salary Range
$76,500 - $103,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Sales Operations Analyst to join our Finance function and serve as the analytical backbone of our commercial organization. This role will provide data-driven insights into pipeline health, forecasting accuracy, and revenue performance, working closely with Sales Leadership, Commercial, and Finance teams.
Key Responsibilities
- →Own reporting on sales pipeline, bookings, ARR, conversion rates, and deal velocity
- →Produce weekly and monthly sales performance reporting for senior leadership
- →Analyze funnel performance, win/loss drivers, pipeline quality, and sales capacity
- →Identify risks and opportunities in the pipeline and proactively surface insights
- →Partner with Finance on short-term and medium-term revenue forecasting
- →Independently challenge sales forecasts using historical data, trends, and coverage analysis
- →Support annual planning, quota setting, capacity modeling, and scenario analysis
- →Analyze pricing, discounting, contract term length, and deal structure trends
- →Support deal reviews by providing data-led insight on risk, margin, and precedent
- →Act as a Hubspot power user, ensuring data accuracy and consistency
- →Improve pipeline discipline, reporting standards, and data hygiene
- →Work with Sales and data teams to enhance dashboards, workflows, and automation
- →Act as the analytical bridge between Finance and Sales
- →Support ad-hoc analysis for board materials, investor discussions, and strategic initiatives
Requirements
- ✓2–6+ years’ experience in Sales Operations, Revenue Operations, Commercial Analytics, or FP&A (with significant exposure to sales data)
- ✓Experience in a B2B SaaS or technology-enabled business strongly preferred
- ✓Hands-on experience with Hubspot
- ✓Strong analytical capability with the ability to translate data into clear commercial insight
- ✓Advanced Excel / Google Sheets skills; comfortable working with large datasets
- ✓Able to challenge assumptions constructively and confidently with senior stakeholders
- ✓Highly structured, detail-oriented, and commercially minded
- ✓Commercially curious and outcome-focused
- ✓Comfortable operating in a fast-moving, scaling environment
- ✓Takes ownership and improves processes rather than simply reporting on them
- ✓Low-ego, high-impact team player
