Data Analyst CX
Data Analyst CX
IDFC FIRST BharatThis job is no longer accepting applications
Job Description
The Data Analyst role is to identifies business needs, builds analytical tools, develop test strategies, and support Senior Analysts & Lead Analyst in delivering business outcome.
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Roles & Responsibilities :
- Identify and scope business requirements and priorities through rigorous information gathering and analysis as we'll as clarification of the solutions, initiatives and programmes to enable effective delivery
- Design analytics techniques to meet current and future business needs
- Robust understanding of data and fields required or analysis
- Understanding of analytical framework and map it with data available
- Develop a test strategy and systematic test procedures to verify and ensure that solution meets its design specifications
- Develop, select and apply algorithms and advanced computational methods to enable systems to learn, improve, adapt and produce desired outcomes or tasks.
- Displays the ability to approach existing situations and problems in a new manner and creates innovative solutions
- Challenges the status quo to bring about continuous improvement in performance, drives changes that would have a positive impact on the organization
- Works to achieve goals and objectives and shows a strong drive to follow through and complete what was started.
- Recognizes the complex interrelationships among business activities and understands the big picture of how decisions impact the overall business, outcomes and processes
- Has an innate orientation to be aware of how one contributes to the larger vision of the Bank
Key Success Metrics:
- Analytical tools
- Business cases and data analysed
Education Qualification:
- Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)
- Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)
More Info
Key Skills
larger
decisions
verify
innate
activities
objectives
data
continuous
interrelationships
priorities
initiatives
complex
computational
goals
analysed
adapt
programmes
techniques
improve
overall
fields
Cases

