This role is for one of Weekday’s clients
Salary range: Rs 1600000 - Rs 1800000 (ie INR 16-18 LPA)
Min Experience: 4 years
Location: Bangalore
JobType: full-time
Requirements
We are looking for a Senior Business Analyst who can drive data-backed decision-making across operations, strategy, and business finance. This role requires a sharp analytical thinker with a deep understanding of business models, who can translate complex datasets into actionable insights to accelerate growth and efficiency across our services.
Key Responsibilities:
• Partner with business leaders to define key performance metrics and build insightful dashboards and reports.
• Conduct deep-dive analysis on operational performance, cost optimization, profitability, and customer behavior.
• Translate data into recommendations that drive strategic decisions and operational improvements.
• Develop financial models, scenario analyses, and business forecasts to support strategic initiatives.
• Lead and manage end-to-end business reporting, including periodic MIS, variance analysis, and trend forecasting.
• Work cross-functionally with Operations, Finance, Product, and Technology teams.
• Identify business risks, opportunities, and gaps in data or process and proactively address them.
• Track and optimize key metrics such as vehicle utilization, service uptime, cost-per-kilometer, etc.
Required Qualifications:
• Bachelor's/master’s degree in business, Economics, Finance, Statistics, Engineering, or related field.
• 4–7 years of experience as a Business Analyst, preferably in Mobility, Automotive, Logistics, or Tech-enabled businesses.
• Strong expertise in data analytics tools (Excel, SQL, Power BI/Tableau, etc.).
• Proven experience in financial modelling, KPI frameworks, and business planning.
• Excellent communication and stakeholder management skills.
• Strong problem-solving and critical thinking ability.
• Ability to work in a fast-paced, evolving business environment.
Preferred Skills
• Exposure to electric mobility or sustainability-driven organizations.
• Familiarity with ERP or fleet management systems.
• Understanding of P&L management and operational KPIs.