Sales & Revenue Data Analyst

Responsibilities

• Own pipeline reporting and revenue forecasting, partnering closely with sales leadership to track performance against targets and surface risks and opportunities early.
• 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.
• 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.

Requirements

• 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.
• 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.