Assistant Manager/Deputy Manager - Data Management Department

• Assistant Manager/Deputy Manager - Data Management Department Degree in Engineering /Maths / Comp Science / Business Management/ Data Science Program/Masters in IT/Management from a recognized institute Experience Assistant Manager/Deputy Manager (No of positions - 01)

• Work experience of 6-10 years in Depository, Exchanges, Mutual Funds, Clearing Corporation, Depository Participants, Banks & BFSIs

Skills Preferred:

• Good Analytical skills to comprehend data, draw inferences & identifying data patterns.
• Knowledge of Data Management Tools/software used in developing and monitoring data management practices, improving security, promoting privacy and removing data duplicity.
• Well versed with programming languages like Python, SQL, SAS, R etc.
• Familiarity in using data visualization tools like Tableau, PowerBI
• Understanding the concepts behind Cloud Computing

Job Description:

• Communicating and presenting the results and insights of the data analysis and modelling to various stakeholders, such as managers, clients, and decision-makers.
• Developing and implementing data governance frameworks, policies, standards, and best practices to ensure data quality, integrity, security, and compliance.
• Collaborating with business stakeholders, IT teams, and external partners to understand data needs, define data requirements, and deliver data solutions that support business objectives and growth strategies.
• Should have experience/exposure of software development life cycle from techno-functional standpoint including but not limited to business requirement articulation, gap analysis, impact assessment, testing and QA, implementation, support.
• Should have inclination to understand business operations, designing and implementing data strategies and systems.
• Should have the understanding of relevant applications, big data solutions and tools.
• Applying advanced data analytics, machine learning, and artificial intelligence techniques to generate insights, predictions, and recommendations from data.
• Should be able to work on data collection, storage, management, quality, protection of data.
• Should possess very good communication, interaction, presentation and writing skills, positive attitude.
• Should be self-driven and pro-active in coming up with new ideas for efficient and effective data management.