Data/Information Mgt Sr Anlst - C12 - PUNE

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Job Overview

The Data/Information Mgt AVP is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and workflow for the area or function. Drives enhancements/projects to create efficiencies in the existing processes through automation and standardization. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• Project management and governance experience with demonstrated ability to achieve and exceed critical milestones
• Independently manage end to end business partner communication. Collaborate with different departments to understand reporting needs to deliver results.
• Ability to manage competing priorities and tasks in a complex and dynamic and work well as part of a team. May direct day-to-day work of junior level employees, but will not typically have formal management role
• Drive automation and standardization of existing processes to improve efficiency and reduce manual effort
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
• Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
• Proficient in data analysis and patterns; good with formulating analytical methodology, identifying inconsistencies, anomalies & patterns with data

Qualifications:

• 8+ years of experience
• Excellent data and technical skills with hands-on experience in Python, Pyspark and SQL
• Advanced analytic ability and problem solving skills to proactively address business questions with innovative data driven solutions
• Working experience in a quantitative field, Financial/Credit Card industry
• Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
• Automation and process re-engineering / optimization skills
• Solid organizational skills and ability to manage multiple projects at one time

Education:

• Bachelor’s degree/University degree or equivalent experience