Protecht
Sales & Revenue Data Analyst
Remote Middle
Summary
Protecht is seeking a Sales & Revenue Data Analyst to serve as the analytical engine behind the revenue team. In this role, you will transform complex data into actionable insights that drive growth across the entire revenue funnel, from pipeline and forecasting to client retention and marketing performance.
What you'll do
- Own pipeline reporting and revenue forecasting, partnering 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 client-facing and internal reporting that supports retention, expansion, and renewal conversations, enabling account teams to act with confidence.
- Analyze marketing performance data to evaluate channel effectiveness, lead quality, and pipeline contribution, 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 data pipelines and models powering revenue analytics are accurate and well-maintained.
Requirements
- Bachelor's or Master's degree in Business, Finance, Statistics, Economics, or a related field.
- 5+ years of experience in revenue analytics, sales operations, business intelligence, or related role with end-to-end ownership of analytical projects.
- Excellent communication and storytelling skills with ability to present complex analysis to commercial and non-technical stakeholders.
- Expert data visualization skills with strong understanding of 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 B2B environments.
- Strong attention to detail and bias toward data-driven decision making.
- Bonus: Familiarity with CRM platforms (HubSpot, Salesforce), AWS products (RDS, Athena), marketing attribution modeling, or knowledge of insurance, participation, ticketing, or travel industries.
Conditions
- Fully remote working environment
- Travel to team meetings required as necessary
- 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