Senior Revenue Analytics Analyst

LytxFramingham, MA

About The Position

The Senior Revenue Analytics Analyst is responsible for transforming complex data into actionable insights that drive go-to-market strategy across Sales, Marketing, and Customer Success. This role combines hands-on data engineering, advanced analytics, and business partnership to improve pipeline generation, win rates, retention, and overall revenue performance. This is not a reporting-only role. The individual is expected to proactively identify opportunities, challenge assumptions, and directly influence strategic decisions through data.

Requirements

  • 4–8+ years of experience in analytics, data engineering, or similar roles within a GTM or SaaS environment
  • Advanced SQL skills with experience working on large, complex datasets
  • Strong experience with Tableau (or equivalent BI tools)
  • Experience building and deploying machine learning models (Python or similar)
  • Proven ability to translate business problems into analytical solutions
  • Strong understanding of SaaS metrics (CAC, LTV, funnel conversion, churn, ARR, etc.)

Nice To Haves

  • Experience in Revenue Operations or closely aligned GTM functions
  • Familiarity with tools such as Salesforce, Gong.io, marketing automation platforms, and data warehouses
  • Experience with experimentation frameworks and growth strategy analysis
  • Background in statistics, economics, data science, or a related field

Responsibilities

  • Build and maintain Lytx’s Ideal Customer Profile (ICP) using firmographic, behavioral, and product usage data
  • Identify underpenetrated markets with strong revenue potential (high TAM, strong conversion, favorable CAC/LTV)
  • Analyze win/loss trends to uncover drivers of deal success and failure
  • Partner with Sales, Marketing, and Customer Success to translate insights into actionable GTM strategies
  • Design and deploy a predictive churn model to identify at-risk customers and inform retention strategies
  • Develop statistical and machine learning models to forecast revenue, pipeline performance, and customer behavior
  • Apply simulation techniques (e.g., Monte Carlo) to quantify growth scenarios and identify key revenue drivers
  • Build and optimize scalable data models and pipelines using SQL
  • Design, develop, and maintain Tableau dashboards for executive and operational reporting
  • Ensure data accuracy, consistency, and accessibility across GTM systems
  • Own the definition, development, and delivery of executive KPIs
  • Deliver weekly executive dashboards summarizing company performance across revenue, retention, and operational metrics
  • Standardize metrics across teams to ensure alignment and consistency
  • Act as a strategic partner to Sales, Marketing, and Customer Success leadership
  • Translate ambiguous business problems into structured analytical approaches
  • Present findings clearly to both technical and non-technical stakeholders

Benefits

  • Medical, dental and vision insurance
  • Health Savings Account
  • Flexible Spending Accounts
  • Telehealth
  • 401(k) and 401(k) match
  • Life and AD&D insurance
  • Short-Term and Long-Term Disability
  • FTO or PTO
  • Employee Well-Being program
  • 11 paid holidays plus 1 inclusive holiday per year
  • Volunteer Time Off
  • Employee Referral program
  • Education Reimbursement Program
  • Employee Recognition and Appreciation program
  • Additional perk and voluntary benefit programs
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