Senior Manager-Analytics job opportunity at Weekday AI.



Date2026-01-16T09:34:57.601Z bot
Weekday AI Senior Manager-Analytics
Experience: 5-years
Pattern: Full-time
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loacation Bengaluru, India
loacation Bengaluru....India

This role is for one of the Weekday's clients Salary range: Rs 3000000 - Rs 4000000 (ie INR 30-40 LPA) Min Experience: 5 years Location: Bangalore JobType: full-time We are a fast-growing Series B fintech startup based in Bangalore, on a mission to transform financial services through data-driven insights. With a focus on customer-centric innovation, we empower businesses and individuals to make smarter financial decisions. As we scale rapidly, we are looking for a Senior Manager – Analytics to lead end-to-end analytics initiatives across key business functions. Role Overview: As the Senior Manager – Analytics, you will be responsible for driving data-driven decision-making across the organization. You will lead the analytics function and work closely with cross-functional teams including Sales, Marketing, Risk, Collections, and Customer Service. This role requires a combination of strategic thinking, hands-on analytics skills, and strong leadership to translate complex data into actionable insights that impact business outcomes. Key Responsibilities: Analytics Leadership: Lead and mentor a small team of analysts, setting the vision for analytics across the organization and ensuring high-quality data insights. Cross-Functional Analytics: Design, implement, and manage analytics solutions across Sales, Marketing, Risk, Collections, and Customer Service to optimize performance and drive growth. Data Strategy & Reporting: Build dashboards, reports, and automated analytics tools to track KPIs, monitor business health, and provide actionable insights to leadership. Business Impact Analysis: Conduct deep-dive analyses to identify trends, patterns, and opportunities across customer segments, product offerings, and operational processes. Predictive & Prescriptive Modeling: Develop models to forecast sales, risk, collections, and customer behavior to enable proactive decision-making. Stakeholder Management: Collaborate with business leaders to understand requirements, translate them into analytics solutions, and communicate insights clearly to non-technical stakeholders. Process Improvement: Identify gaps in data collection and analysis processes, implement best practices, and ensure data integrity and accuracy. Qualifications & Skills: Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Computer Science, or related fields. 5–6 years of analytics experience in a fintech, banking, or financial services environment, ideally with exposure to multiple business functions. Strong expertise in SQL, Python/R, and data visualization tools (Tableau, Power BI, or equivalent). Hands-on experience with predictive modeling, segmentation analysis, and advanced statistical techniques. Proven ability to lead analytics projects end-to-end, from problem definition to actionable insights. Excellent communication and stakeholder management skills, with the ability to explain complex data insights to business teams. Strong business acumen and a data-driven mindset to influence decision-making at all levels of the organization.

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