Senior Data Analyst

Senior Data Analyst
Key ResponsibilitiesGTM & Pipeline Analytics

• Build and maintain pipeline, funnel, and conversion-rate reports using CRM data such as Salesforce, HubSpot, or equivalent platforms.
• Analyze sales and revenue data to identify conversion trends, performance gaps, and opportunities for improvement.
• Provide data-driven insights to support GTM strategy and business decisions in collaboration with Sales, RevOps, and Finance teams.
• Track key metrics including pipeline growth, stage-wise conversion, win rates, and forecast accuracy.

Data Management & Reporting

• Collect, organize, and maintain datasets from multiple sources, including CRM, billing, and product usage systems.
• Ensure data accuracy, completeness, consistency, and reliability across reporting platforms.
• Prepare recurring and ad-hoc reports highlighting business performance, trends, and actionable insights.
• Perform data validation and reconciliation to ensure the accuracy of business reporting.

Dashboard Development

• Design and develop interactive dashboards and reports using Power BI and advanced Excel.
• Customize dashboards based on stakeholder and departmental requirements.
• Maintain and update dashboards to ensure data accuracy and timely reporting.

Process Optimization & Automation

• Identify opportunities to improve data collection, reporting, and analysis processes.
• Automate recurring reporting and analytical workflows to improve efficiency and reduce manual effort.
• Explore AI-assisted tools and automation techniques to enhance reporting accuracy and productivity.
  

Must-Have

• 2–3 years of experience in Data Analytics, Revenue Operations, GTM Analytics, Business Analysis, or a related analytical role, preferably in a SaaS or B2B technology environment.
• Strong analytical and business reasoning skills with the ability to interpret sales funnels, conversion metrics, and business performance data.
• Hands-on experience working with CRM platforms such as Salesforce, HubSpot, or equivalent systems.
• Good proficiency in SQL and Power BI for data analysis, reporting, and visualization.
• Strong knowledge of Excel, including XLOOKUP/VLOOKUP, Pivot Tables, formulas, data analysis, and basic modeling.
• Ability to work closely with Sales, RevOps, Finance, and other stakeholders to understand requirements and communicate data-driven insights.
• Strong attention to detail with the ability to validate and interpret data independently.

Nice-to-Have

• Exposure to GTM and intent-data platforms such as 6sense, ZoomInfo, HubSpot, RingLead, or similar tools.
• Familiarity with BigQuery, Looker, Tableau, or Python.
• Experience working with SaaS, HR-tech, payroll, or B2B technology data.
• Exposure to reporting automation and AI-assisted analytics workflows.