Revenue Analyst

Duties & Responsibilities:Develop interactive reports & dashboards against our key performance indicators (critical metrics). Research analytic methodologies and conduct metric reporting. Implement new tools and techniques for viewing, interpreting, and communicating organizational data & trends. Support operational changes & growth opportunities with data-driven recommendations with measurable outcomes. Analyze trends to recommend process/operational improvements. Prepare detailed & summary level reports including written interpretation of analytic results and graphical representation. Present results to management, including data-driven business recommendations and Alternatives. Influence leadership to drive more data-informed decisions. Work closely with the Finance department & executive team to support regular business review cycles. Leverage organizational data through analytics projects and modelling to derive data- driven insights and recommendations leading to organizational improvements. Define & advance standard processes and champion the use of data & analytics organization wide. Perform other duties as assigned. Qualifications4–5 years of experience in Reporting, Analytics, Revenue Operations, or related roles, with a proven track record of delivering strategic business impact through data. Advanced proficiency with BI tools (e.g., Power BI, Tableau), data modeling, and visualization best practices. Strong understanding of GTM metrics across Sales, CS, and Marketing, with experience supporting leadership planning and performance reporting. Demonstrated ability to lead analytical projects end-to-end, from requirements gathering to analysis, storytelling, and executive recommendations. Familiarity with CRM systems (e.g., Salesforce) and data extraction methods for reporting automation. Excellent communication skills, with the ability to simplify complex data and influence senior stakeholders. High attention to detail and structured problem-solving; thrives in a fast-paced, evolving environment. Experience mentoring or supporting junior team members is preferred. Bonus: Experience with SQL for data extraction and transformation, Python for advanced analytics or automation, and forecasting/modeling techniques to support strategic planning. Originally posted on Himalayas