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.

Work arrangement
No