Data/Information Mgt Sr Anlst - C12 - BANGALORE
- Location
- Bangaluru, India
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Posted
Skills
About this role
The Data/Information Mgt Sr Anlst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. 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. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. 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. Expertise Required: Data Extraction and Data Manipulation: - Working with the huge databases to meet the data needs for the project and play an SME role ensuring understanding of end to end data processes, system, Architecture etc. SAS hands-on experience is a must, should be an expert in data management using SAS. Should be able to mentor juniors on project needs. MIS Reporting and Data Analysis: – Code, Test and Execute information systems projects. Standardization/Reengineering and Efficient production of MIS reports– achieved by having a standardized data flow, common definitions of metrics and consistent MIS formats. Able to design reports from scratch and use BI tools for efficient report generation. Support business on ad-hoc queries and ensuring quality with timelines Tools and Platforms Proficient in advanced SAS, SQL & Unix (Must have) Proficient in MS Excel, VBA, PowerPoint (Must have) Tableau expertise (good to have) Domain Skills In depth understanding of Financial Domain – Cards, Retail Bank, Mortgage Customer Lifecycle Management Customer engagement (Pricing, P&L forecasting) Customer retention (Preferred) - Knowledge of Credit Card PnL, Understanding or Retail Business Soft Skills Should have excellent communication and inter-personal skills Must have capability to clearly communicate analyses. Presentations to both technical and non-technical personnel are required to be made frequently as part of the job. Ability to work efficiently in a matrix environment balancing between both business and functional interactions and priorities Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. Ability to work effectively across portfolio teams and functional areas teams Ability to thrive in a techno-functional role that requires not only standardized reporting, but also on demand ad-hoc analyses Responsibilities: The MIS/Data Management lead is expected to: Be a direct interface of the team with the various stakeholders Be directly accountable for flawless execution and delivery on meeting the reporting requirements Manage and mentor a team information solutions analyst Continually identify opportunities for advancing the reporting capabilities through process automation and enhancement Manage / Mentor a team of Analysts, Senior Analyst, Principal Analysts in the delivery of respective projects Design and development of MIS / Data Management activities Accountable for regular reporting or process administration as owner Appropriately assess risk when business decisions are made,