Senior Revenue Analytics Analyst
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
- GTM Analytics & Strategy 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
- Predictive Modeling & Advanced Analytics 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
- Data Engineering & Visualization 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
- Executive Reporting & KPI Ownership 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
- Cross-Functional Partnership 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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
251-500 employees
