Senior Sales Operations Analyst
Cargill
PythonTableau
Sales Operations Manager
Consensus
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $110,000 - $125,000 per year
Job Level
Mid-LevelSenior
About the role
- Forecasting & Pipeline Management
- Own the company’s sales forecast cadence in partnership with the CRO and VP of Sales
- Deliver actionable analysis on pipeline coverage, velocity, and conversion health
- Identify risk and opportunity areas across New Business and Expansion motions.
- GTM Planning & Execution
- Support annual and quarterly planning processes including quota setting, territory design, and capacity modeling.
- Partner with Finance and Leadership on scenario modeling and goal attainment tracking.
- Reporting & Insights
- Build and maintain dashboards in HubSpot, Google Sheets and other tools to provide visibility into pipeline, productivity, and revenue performance
- Prepare board-level reporting and executive summaries highlighting key performance trends.
- Cross-Functional Partnership
- Collaborate closely with Sales, SDR, and Partnerships teams to streamline processes and drive accountability.
- Partner with Marketing and Customer Success operations on funnel alignment, attribution, and expansion strategies.
- Process Optimization
- Evaluate and improve the end-to-end sales process, from lead routing to closed-won.
- Drive consistency and compliance across forecasting, deal hygiene, and CRM adoption.
- Sales Enablement & Support
- Maintain training materials, playbooks, and dashboards that empower AEs and SDRs to hit their targets.
- Partner with Enablement to track ramp times, activity SLAs, and performance benchmarks.
- Systems & Tools
- Serve as the HubSpot CRM SME and system administrator.
- Evaluate and integrate tools across the GTM stack including Gong, Trumpet, PandaDoc, and data enrichment platforms.
- Ensure data accuracy, process adoption, and reporting reliability.
Requirements
- 3–6 years of experience in Sales Operations or Revenue Operations at a high-growth SaaS company.
- Strong analytical and problem-solving skills with a focus on actionable insights.
- Deep knowledge of CRM systems (HubSpot preferred), reporting tools, and Excel/Google Sheets.
- Proven ability to partner cross-functionally with Sales, Marketing, and Customer Success.
- Excellent communication skills with the ability to simplify complex data for executive audiences.
- Experience managing forecasts, KPIs, and GTM processes that scale with growth.
Benefits
- Health & Wellness: Benefit from a generous employer contribution towards health insurance, with a variety of plans that include dental and vision coverage. Enjoy employer contributions to your HSA, and take advantage of HSA/FSA programs to maximize your tax savings.
- Retirement Ready: Secure your future with our 401(k) plan featuring company-matching contributions.
- Family First: We offer paid parental leave, so you can prioritize what matters most—your family.
- Work-Life Balance: Enjoy unlimited PTO and 12 company holidays to recharge and refresh. Celebrate your birthday with a day off, and enjoy Flex Fridays, where every third Friday of the month is yours to unwind.
- Flexible Work Options: Work in a flexible, remote environment that suits your lifestyle, with a top-tier WFH setup provided when you join.
- Grow with Us: Participate in our professional development program to expand your skills and advance your career.
- Give Back: Make a difference in your community with two paid volunteer days each year at a charity of your choice.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
forecastingpipeline managementquota settingcapacity modelingscenario modelingdata analysissales process optimizationKPI managementGTM processesCRM adoption
Soft skills
analytical skillsproblem-solvingcross-functional collaborationcommunication skillsaccountabilitytraining and supportprocess improvementinsight generationexecutive reportingsimplifying complex data
