Manager Analytics job opportunity at Weekday AI.



Date2026-01-27T15:14:45.057Z bot
Weekday AI Manager Analytics
Experience: 2-years
Pattern: Full-time
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India

This role is for one of the Weekday's clients Min Experience: 2 years JobType: full-time We are seeking a Manager – Analytics who is passionate about transforming data into actionable insights and driving data-led decision-making. This role sits at the intersection of business strategy and advanced analytics, with a strong focus on credit and credit card analytics . The ideal candidate will bring hands-on expertise in data extraction, aggregation, and visualization , along with the ability to translate complex datasets into clear, impactful insights for stakeholders. You will work closely with cross-functional teams including business, risk, product, and technology to solve real-world problems using analytics. This role requires both strong technical depth and the ability to communicate insights effectively. Key Responsibilities Lead end-to-end data analytics initiatives , from problem definition to insight generation and presentation. Perform data extraction, aggregation, and manipulation from large, complex datasets using SAS and SQL . Build and maintain analytical datasets to support reporting, advanced analytics, and business intelligence use cases. Develop dashboards and visualizations using Tableau to track performance, identify trends, and support decision-making. Apply advanced analytics techniques to solve business problems related to credit risk, credit card portfolios, customer behavior, and performance optimization . Analyze credit and credit card data to generate insights around customer acquisition, spend behavior, delinquency, risk, and portfolio health. Partner with business stakeholders to understand requirements and convert them into analytical solutions and insights. Present findings and recommendations clearly to senior stakeholders using data-backed storytelling. Ensure data accuracy, consistency, and governance across analytics deliverables. Support ad-hoc analysis and deep dives as required to address emerging business needs. Required Skills & Experience 2–7 years of experience in Analytics or Data Analytics , preferably in BFSI, financial services, or credit card domains. Strong hands-on experience with SAS for data manipulation, analysis, and reporting. Advanced proficiency in SQL for data extraction, joins, aggregations, and performance optimization. Solid experience in data extraction, aggregation, and table creation from multiple data sources. Expertise in Tableau for building interactive dashboards and visual analytics. Strong understanding of credit and credit card analytics , including customer behavior, risk metrics, and portfolio performance. Exposure to advanced analytics techniques such as segmentation, trend analysis, and predictive insights (experience with statistical or ML methods is a plus). Preferred Competencies Strong analytical and problem-solving mindset with attention to detail. Ability to manage multiple priorities in a fast-paced environment. Excellent communication and stakeholder management skills. Business-oriented approach with the ability to convert data into actionable insights.

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