Senior Sales Operations Analyst

About The Weather Company:

The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com).

AI is part of how we work:

Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company.

Job brief:

We're looking for an experienced Senior Sales Operations Analyst to keep our sales engine accurate, predictable, and efficient. You will own the quality of our Salesforce data, build the models and forecasts leadership relies on, and give sales teams the pipeline visibility they need to hit their numbers. You'll partner closely with Sales leadership, Finance, Marketing, and Enablement, and you'll be expected to turn complex data into clear, actionable insight.

The impact you'll make:

Data Hygiene & CRM Governance

• Own the integrity of Salesforce data across accounts, contacts, opportunities, and activities.
• Define, document, and enforce data standards, required fields, and stage-exit criteria.
• Run regular audits to identify duplicates, missing or stale data, and process gaps. Drive remediation with sales managers and reps.
• Build and maintain validation rules and automated alerts, and use AI-driven analysis to flag data quality issues early.

Forecasting

• Run the weekly, monthly, and quarterly forecast cadence. Consolidate rep and manager submissions and reconcile them against pipeline and historical trends.
• Analyze forecast accuracy, commit vs. actual, and slippage. Recommend improvements to the process.
• Deliver clear forecast roll-ups and risk/opportunity commentary to Sales and executive leadership.

Modeling & Analytics

• Build and maintain models for pipeline coverage, conversion rates, sales velocity, quota capacity, territory design, and bookings projections.
• Develop and maintain revenue models that project bookings and revenue by segment, product, and time period, incorporating pipeline, historical performance, seasonality, and key assumptions.
• Run scenario and sensitivity analyses to support planning, headcount, and quota-setting decisions.
• Analyze win/loss, sales cycle, and funnel performance to identify trends, risks, and growth opportunities.

Pipeline Management

• Monitor pipeline health by stage, segment, region, and rep. Surface deals at risk, aging opportunities, and coverage gaps.
• Lead pipeline review preparation, including AI-generated pipeline summaries, inspection views, and talking points for sales leaders.
• Partner with Sales and Marketing to align on lead-to-opportunity handoffs and funnel definitions.

Reporting & Presentation

• Leverage AI tools to generate, automate, and refine reporting and analysis for reps, managers, and executives, ensuring outputs are accurate and validated against source data.
• Present findings, forecasts, and recommendations to stakeholders at all levels in a clear, concise, and credible way.
• Document processes, definitions, and methodologies so reporting is consistent and repeatable.

Systems & Process Improvement

• Partner with Salesforce admins and Sales Operations leadership on enhancements, new fields, workflows, and releases. Gather requirements and support UAT.
• Use Gong conversation and deal intelligence to inform pipeline inspection, deal risk, and coaching insights.
• Identify opportunities to automate manual work and streamline sales processes.

What you've accomplished:

• 5–8 years of experience in Sales Operations, Revenue Operations, Sales Analytics, or a similar role.
• Strong hands-on Salesforce experience, including data management and an understanding of the opportunity and forecast objects.
• Demonstrated experience with data hygiene and CRM governance.
• Proven experience building forecasts and financial or sales models, with advanced Excel/Google Sheets skills.
• Strong understanding of sales cycles, pipeline stages, and key metrics such as coverage, conversion, velocity, and win rate.
• Excellent organizational skills, with the ability to manage multiple deadlines and recurring operating cadences.
• Strong presentation and communication skills, with comfort presenting to sales leaders and executives.
• Strong reporting skills, with the ability to turn raw data into clear visuals and narratives.
• Experience using AI tools to generate reporting and analysis, and to validate the outputs against source data.
• Bachelor's degree in Business, Finance, Analytics, or a related field, or equivalent experience.

Nice to have:

• Experience with Gong (conversation intelligence, deal boards, forecasting).
• Familiarity with marketing automation, CPQ, or data enrichment tools (e.g., Marketo, ZoomInfo).
• Salesforce certification (Administrator, Platform App Builder, or similar).