Urgent job opportunity for Business Analytics position at CITI Bank at Pune
Business/ Department :
Objectives : The scope of work will include understanding the business problem and the key deliverable and using Data Manipulation, Data Analysis, Feature Engineering, statistical modeling & ML, while maintaining the flexibility to switch amongst work streams based on business needs.
- The role requires working closely with business partners based in other geographies that Citi operates in (e.g., U.S., APAC, EMEA).
- Requirements include proven working experience as a data analyst or business analyst using data bases, warehouses, data processing; experience with statistics and data mining with a strong background on Programming in R/Python and Big Data Technologies.
- Experience and knowledge in banking and finance will be a plus.
Core Responsibilities:
- Conduct data-driven analysis. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration and advanced statistical analysis to support business use cases
- Validate data, identify data quality issues (if any), and work with Technology to address them. Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs.
- Execute data extraction and data preprocessing tasks. Perform ad hoc data analyses. Design and maintain complex data manipulation processes. Provide consistent documentation and presentations.
- Document solutions and present results in a simple comprehensive way to non-technical audience in a dashboarding tool ( Tableau /Arcadia/ Micro-Strategy )
- Generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions. Escalate identified risks and sensitive areas in terms of methodology and processes.
- Maintain an industry leading knowledge of the tools, systems and processes available for Big Data environment
Day-to-Day Responsibilities: - Same as Above
Financial/ Budgetary: Individual Contributor (IC)/Managerial
Key Deliverables:
1. Implementable insights to business problems
2. Engage with Technology and other teams for deployment
3. Implement best practices for data manipulation and analysis for big data environments
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