Senior Sales & Marketing Operations Analyst

Lead with Data. Influence Strategy. Accelerate Performance. Millennium is seeking a Senior Sales & Marketing Operations Analyst to be the analytical engine behind Millennium’s revenue function. In this role, you will turn raw data into the insights that shape how we sell, how we market, how we price, and how we show value to our customers. Your job is to make our sales team better at theirs. Remove the friction in their day, put the right insights in their hands, and give them the analytical support they need to serve customers and win more. You’ll work side-by-side with the CRO, Director of Sales Operations, sales leadership, marketing, finance, supply chain, and our customers, surfacing what’s working, what’s broken, and what to do about it. Half of your work points inward: dashboards, pipeline health, sales forecasting, the demand forecast that feeds the supply chain’s SIOP process, sales performance (rep-territory-region-company), win/loss analysis, quotas, and compensation. The other half points outward: building the dashboards, scorecards, and business reviews that enable our sales team to show our customers the value we deliver. You’ll live in HubSpot, DOMO, and NetSuite, and you’ll use AI tools aggressively — to automate manual reporting, accelerate insights to action, streamline how we get things done, and provide more value to customers.

Requirements

• Build and maintain DOMO dashboards for internal stakeholders across sales, marketing, finance, and the executive team — with AI-generated commentary on key movements and standardized metric definitions so leadership operates from a single source of truth.
• Design and deliver client-facing reporting and analytics – customer scorecards, dashboards, and quarterly business reviews that show our customers the value Millennium delivers and uncover opportunities to grow the relationship — leveraging AI to scale personalized insights across the customer base
• Own ongoing win/loss analysis as a recurring capability — synthesize CRM data, sales notes, and customer feedback into clear patterns on why we win and why we lose, and feed those insights into pricing, sales strategy, product positioning, and marketing.
• Own CRM data integrity in HubSpot — accounts, contacts, deals, pipelines, workflows, reports — using AI-assisted tooling to detect duplicates, enrich records, and reduce manual cleanup; serve as the day-to-day sales administrator.
• Partner with Finance’s Pricing Manager to translate financial pricing analytics into commercial action — pairing margin, price realization, and competitive insight with structured win/loss analysis to identify pricing opportunities, address leakage, and inform deal-desk decisions on strategic opportunities
• Produce rep- and team-level performance analytics – activity, conversion, win rate, deal size, cycle time, and quota attainment by segment, product, and territory
• Apply AI tools across the analytics stack to automate recurring reports, draft commentary on performance trends, accelerate data cleanup, surface anomalies, and improve forecast and pricing accuracy. Treat automation as core to the job, not a side project
• Build and maintain the pipeline, bookings, and forecast reporting the CRO and sales leadership rely on each week — apply predictive and AI-assisted models to improve forecast accuracy, and provide quicker insights to action.
• Partner with supply chain to develop the demand forecast that feeds the Sales, Inventory & Operations Planning (SIOP) process — translating pipeline outlook, customer demand signals, and bookings trends into a forward view supply chain can plan inventory and capacity against
• Partner with finance on commission calculations, SPIFF payouts, and quarterly comp plan analysis
• Report on marketing-sourced and marketing-influenced pipeline; measure campaign performance, channel ROI, attribution, and MQL-to-revenue conversion — using AI to scale multi-touch attribution and surface which programs are producing revenue
• Translate analysis into recommendations — not just charts. Tell the team what to do, not just what happened, and follow the action through to the outcome
• Continuously improve the reporting stack: replace manual work with AI-driven workflows, retire stale reports, and raise the bar on data quality and analytical depth across the revenue function

Benefits

• Competitive compensation and benefits package
• Opportunity to work directly with senior leadership
• High-impact, company-wide initiatives
• Shape how strategy turns into execution
• Help scale a growing, ambitious organization