Sales Operations Analyst – Pipeline

Location: Boston, MA, United States

Base salary: $70,000–$86,000 USD per year; additional discretionary annual variable target incentive may apply.

Company

Creative data technology provider delivering unified data platforms for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries.

What you will do

• Maintain lead-assignment rules, queues, ownership logic, and routing criteria across go-to-market teams.
• Monitor lead response times, aging, disposition, follow-up, and service-level performance; identify stalled leads and coordinate corrective action.
• Prepare recurring funnel and pipeline reporting covering engagement, opportunity creation, stage movement, source, segment, and ownership.
• Analyze sales velocity, conversion trends, sales-cycle duration, bottlenecks, and business implications for Sales Operations and sales leadership.
• Report on calls, emails, sequences, meetings, prospect engagement, activity quality, and Outreach adoption.
• Reconcile data across HubSpot, PEGA, Outreach, and related systems; investigate discrepancies, coordinate corrections, document definitions, and support recurring and time-sensitive requests.

Requirements

• Bachelor’s degree in Business, Finance, Analytics, Information Systems, or a related field, or equivalent practical experience.
• 2–4 years of experience in Sales Operations, Revenue Operations, business operations, marketing operations, analytics, or a related role.
• Strong Excel or spreadsheet skills, with the ability to reconcile, analyze, and summarize data from multiple sources with close attention to detail.
• Experience with CRM, marketing automation, or sales engagement data, including leads, activities, opportunities, stages, and ownership; examples include Salesforce, HubSpot, PEGA, or Outreach.
• Understanding of response time, conversion rate, pipeline creation, stage progression, aging, and sales velocity metrics.
• Experience creating recurring reports or dashboards.
• Experience using AI-assisted tools such as copilots, summarization tools, or chatbots, with the ability to critically evaluate and verify AI-generated outputs.
• Ability to learn, evaluate, adapt to, propose, and implement AI-augmented workflows to improve individual and team productivity.
• Clear written and verbal communication skills, judgment to escalate exceptions, and ability to explain decisions to sales managers and business partners.
• Ability to manage recurring operational work alongside time-sensitive requests while meeting established service levels.

Nice to have

• Familiarity with business intelligence tools or SQL.

Culture & Benefits

• Medical, vision, and dental insurance.
• Short-term and long-term disability insurance and life insurance.
• 401(k) profit-sharing contribution.
• Paid time off, holidays, and parental leave.
• Tuition reimbursement.
• Equal-opportunity employment and a recruitment process where AI does not make or influence hiring decisions.