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Manager Analytics at Weekday AI. 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.. Company Location: India.