Sales & Revenue Data Analyst
Teak · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
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Job highlights
- Analyze sales data for revenue growth.
- Own forecasting, pipeline, and retention reporting.
- Build pricing and deal analysis frameworks.
- Visualize data for commercial stakeholders.
- Collaborate on data pipelines and models.
About the role
About Teak
Teak is building better experiences for people attending live events and booking travel. Our easy-to-embed, full-service solutions enable businesses in live events, sports, endurance racing, bookings, and destinations to increase revenue while offering consumers greater flexibility and confidence at checkout. We have served over 12 million consumers and surpassed $1 billion in experiences enhanced through our platform. Our business is growing quickly and is profitable.
We’re a fully remote, fast-moving, high-impact team that thrives on solving hard problems. Every role here is mission-critical, and every person has the opportunity to shape our company's future.
Role Overview
As a Sales & Revenue Analyst at Teak, you will be the analytical engine behind our revenue team, turning complex data into clear, actionable insights that drive growth. You will own reporting and analysis across the full revenue funnel, from pipeline and forecasting to client retention and marketing performance. You’re an incredible data storyteller and understand how to leverage data visualization to enable actionable insights. We're looking for someone who thrives at the intersection of data and commercial strategy.
Key Responsibilities
- Own pipeline reporting and revenue forecasting, partnering closely with sales leadership to track performance against targets and surface risks and opportunities early.
- Build and maintain pricing and deal-analysis frameworks to evaluate deal structure, margins, and competitiveness across new and existing client opportunities.
- Develop internal reporting that supports retention, expansion, and renewal conversations, giving account teams the data they need to act with confidence.
- Analyze marketing performance data to evaluate channel effectiveness, lead quality, and contribution to the pipeline, helping optimize spend and prioritization.
- Collaborate with cross-functional teams to translate business questions into structured analyses and present findings to stakeholders in a clear, compelling way.
- Create and automate dashboards and reports to ensure the revenue team has timely, accurate visibility into performance metrics.
- Partner with engineering and data teams to ensure the underlying data pipelines and models powering revenue analytics are accurate and well-maintained.
Qualifications
What We Are Looking For
- Bachelor's or Master's in Business, Finance, Statistics, Economics, or a related field.
- 5 years of experience in revenue analytics, sales operations, business intelligence, or a related role with end-to-end ownership of analytical projects.
- Excellent communication and storytelling skills, with the ability to present complex analysis to commercial and non-technical stakeholders alike.
- Expert data visualization skills, with a strong understanding of data visualization tools such as Omni (preferred), Looker, Domo, Tableau, or Power BI.
- Deep expertise in SQL for data extraction, manipulation, and analysis across medium to large datasets.
- Experience with Python or R for data analysis and modeling.
- Demonstrated ability to build forecasting models and pipeline reporting frameworks in a B2B environment.
- Strong attention to detail and a bias toward data-driven decision making.
This is a remote position. Travel to team meetings is required as necessary.
Bonus Qualifications
- Familiarity with CRM platforms (HubSpot, Salesforce, or similar) and experience connecting CRM data to analytical workflows.
- Experience with AWS products such as RDS or Athena.
- Exposure to marketing attribution modeling or customer lifetime value analysis.
- Knowledge of the insurance, participation, ticketing, or travel industries.
What We Offer
- Fully Remote Working Environment
- Competitive Salary and Equity Opportunities
- Unlimited Paid Time-off
- Medical, Dental, and Vision Benefits
- Annual Bonus Program
- 401k Matching
- $100/month for Event Ticket Purchase
- Company-Sponsored Events
Key skills/competency
- Sales Analytics
- Revenue Forecasting
- Data Visualization
- SQL
- Python/R
- Business Intelligence
- CRM
- Data Storytelling
- Pipeline Analysis
- B2B Analytics
Skills & topics
- Sales Data Analyst
- Revenue Analyst
- Data Analytics
- Sales Operations
- Business Intelligence
- SQL
- Python
- Data Visualization
- Forecasting
- B2B Sales
How to get hired
- Tailor your resume: Highlight your 5+ years of revenue analytics or sales operations experience, emphasizing end-to-end project ownership.
- Showcase data skills: Clearly list your expertise in SQL, Python/R, and data visualization tools like Omni, Looker, Tableau, or Power BI.
- Quantify achievements: Use specific numbers to demonstrate your impact on pipeline forecasting, deal analysis, and revenue growth.
- Prepare for technical and behavioral interviews: Be ready to discuss your approach to data storytelling, B2B forecasting, and cross-functional collaboration.
Technical preparation
Master SQL for complex data queries.,Practice Python/R for data analysis.,Build sample dashboards in Tableau/Power BI.,Understand B2B sales funnel metrics.
Behavioral questions
How do you tell stories with data?,Describe a complex analysis presented clearly.,How do you handle conflicting data insights?,How do you prioritize competing analytical requests?
Frequently asked questions
- What is the primary focus of the Sales & Revenue Data Analyst role at Teak?
- The Sales & Revenue Data Analyst at Teak is responsible for being the analytical engine behind the revenue team. This involves transforming complex data into actionable insights to drive growth through pipeline, forecasting, client retention, and marketing performance analysis.
- What technical skills are essential for this Sales & Revenue Data Analyst position?
- Essential technical skills include deep expertise in SQL for data extraction and manipulation, experience with Python or R for analysis and modeling, and strong data visualization skills using tools like Omni, Looker, Domo, Tableau, or Power BI. Familiarity with CRM platforms is also a plus.
- What kind of experience is required for the Sales & Revenue Data Analyst role at Teak?
- The role requires 5 years of experience in revenue analytics, sales operations, or business intelligence, with a proven track record of end-to-end analytical project ownership. Experience building forecasting models and pipeline reporting in a B2B environment is also crucial.
- What are the benefits of working as a Sales & Revenue Data Analyst at Teak?
- Teak offers a fully remote working environment, competitive salary and equity, unlimited paid time off, comprehensive medical, dental, and vision benefits, an annual bonus program, 401k matching, and a monthly stipend for event ticket purchases.
- How does Teak utilize data visualization in the Sales & Revenue Data Analyst role?
- Data visualization is a key component, as the role requires you to be an incredible data storyteller. You'll leverage data visualization tools to present complex analysis clearly and compellingly to commercial and non-technical stakeholders, enabling actionable insights.
- Is this Sales & Revenue Data Analyst position remote or on-site?
- This is a fully remote position. However, travel to team meetings may be required as necessary.
- What is the expected impact of the Sales & Revenue Data Analyst on Teak's business?
- The Sales & Revenue Data Analyst is mission-critical. You will directly influence growth by providing insights that optimize sales strategies, marketing spend, client retention, and overall revenue performance, helping shape the company's future.