About the company
This position is listed on behalf of a partner company, who manages all applications and next steps.
Responsibilities
- Conduct recurring and ad-hoc strategic analyses covering pipeline trends, segment performance, sales productivity, and other key commercial metrics.
- Translate complex datasets into clear, actionable insights and recommendations for Sales, Finance, and business leadership.
- Leverage AI-powered tools such as ChatGPT, Copilot, Claude, and similar technologies to accelerate analysis, automate repetitive reporting and data-cleaning tasks, and improve the quality of deliverables.
- Support data sourcing, modeling, manipulation, and analysis for executive reporting, QBRs, annual planning, and strategic projects.
- Contribute to territory mapping, quota modeling, headcount planning, and other commercial planning exercises using a structured, consulting-style approach.
- Build and maintain dashboards and self-service reporting solutions using Tableau, Excel, and related analytical tools.
- Partner with Sales and Revenue Operations teams to improve data quality, reporting infrastructure, analytical consistency, and operational processes.
- Work closely with Finance and other cross-functional stakeholders to align analytical outputs with business priorities and planning requirements.
- Identify opportunities to apply AI, automation, and improved analytical processes to make strategy and operations work more efficient.
- Present findings in a concise and compelling manner, turning data-driven analysis into recommendations that support business decisions.
Requirements
- 5+ years of experience in consulting, investment banking, or another highly rigorous analytical environment, with prior consulting experience strongly preferred.
- Demonstrated ability to use AI-powered tools to accelerate analysis, automate workflows, improve productivity, and enhance the quality of strategic outputs.
- Strong analytical and problem-solving capabilities, with experience building models, structuring analyses, interpreting large datasets, and developing executive-ready recommendations.
- Strong SQL skills are required, including the ability to write complex queries and conduct ad-hoc analyses using raw or business data.
- Experience working with Salesforce, Tableau, Excel, Google Sheets, or comparable business intelligence and analytical platforms.
- Experience with GCP or similar cloud-based data platforms is a plus.
- Ability to work effectively with ambiguity, evolving priorities, and loosely defined business problems, bringing structure and clarity without requiring perfectly defined specifications.
- Strong commercial and strategic mindset, with the ability to understand business objectives and connect analytical findings to tangible outcomes.
- Excellent written and verbal communication skills, with the ability to explain complex analytical concepts to both technical and non-technical stakeholders.
- Strong data storytelling skills, including the ability to synthesize information and communicate the most important insights clearly to senior audiences.
- Curiosity about emerging AI capabilities and a genuine interest in identifying practical ways technology can transform strategy and analytics work.
- Comfortable collaborating across geographically distributed teams and working with stakeholders in different time zones.
Conditions
- Competitive salary aligned with experience, skills, and market standards.
- Medical insurance and healthcare benefits for employees and their families.
- Fully paid life insurance premiums.
- Flexible working hours to support collaboration across India and US-based teams.
- Paid time off (PTO).
- Gym and wellness reimbursement.
- Childcare reimbursement.
- Group term life insurance.
- Remote-friendly working environment with flexibility designed to support productivity and work-life balance.
- Opportunity to work on high-impact sales strategy, revenue operations, analytics, and AI initiatives.
- Exposure to cross-functional teams and strategic projects spanning Sales, Finance, and Revenue Operations.
- Opportunities for professional growth in a data-driven and increasingly AI-enabled business environment.
- Inclusive workplace culture that values diverse perspectives, collaboration, and individual contributions.