Data Analyst

Analytics Role We are seeking candidates with the following profile: • Experience: Minimum of 3–5 years in sales analytics, business intelligence, or a related analytics function, ideally within a fast-paced commercial environment. • Technical Skills: • Proficiency in data analysis tools such as Excel, SQL, and PowerBI using Prompt based AI to deliver results quickly • Experience with CRM systems (such as Jupiter) and familiarity with sales pipeline metrics and reporting. • Strong understanding of data modeling, data visualization, and dashboard creation. • Ability to extract, clean, and interpret large datasets to generate actionable insights. • Soft Skills: • Proactive, initiative taker, and able to work independently. • Keen and original thinker with an intuitively analytical mindset. • Strong communication skills to translate complex data findings into clear business recommendations. • Collaborative approach, comfortable working across sales and operations organization teams. We are looking for candidates who combine technical expertise with a strategic, business-oriented perspective. Please prioritize profiles with demonstrated experience in sales analytics and a track record of delivering impactful insights. Key Responsibilities • Sales Pipeline Analysis • Constantly analyze weekly end-to-end sales pipeline data for Client Operate deals, identifying emerging trends, bottlenecks, and opportunities for improvement. • Develop dashboards and reports that provide actionable insights on pipeline health, conversion rates, and deal progression. • Perform ad-hoc analysis as required based on the need of the hour. • Optimization & Forecasting • Recommend strategies to optimize pipeline velocity, deal win rates, and revenue forecasting accuracy. • Collaborate with sales leaders to design and implement pipeline management best practices. • Data Management & Quality • Ensure data integrity by partnering with sales operations teams to validate and cleanse pipeline data. • Establish and maintain data governance protocols for sales pipeline metrics. • Stakeholder Engagement • Develop findings and recommendations to be presented to the senior leadership, sales teams, and cross-functional stakeholders, across different OPs. • Support account teams with ad hoc analyses to inform pursuit strategies and deal qualification, if required. • Continuous Improvement • Monitor the impact of implemented changes and iterate on analytics models and reporting as needed. • Stay current on analytics tools, sales methodologies, and industry benchmarks.