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Senior Analyst

Employer
Infosys BPM
Location
Pune Pune Maharashtra, Maharashtra, India
Salary
Competitive Salary
Closing date
Feb 15, 2024

View more

Job Role
Other
Sector
Finance
Contract Type
Permanent
Hours
Full Time
Responsibilities . Analyze data from multiple sources to identify gap in business areas
. Excellent data reading and deriving business insights
. Using automated tools to extract data from primary and secondary sources
. Performing analysis to assess quality and meaning of data
. Preparing reports for the management stating trends, patterns, and predictions using relevant data
. Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends
. Strong data analyst profile with data-interpretation, trend identification and data deep-diving skills
. Monitor historical transactions and identify high-risk transactions within the business portfolio
. Determine new and dynamic fraud trends by analyzing accounts and transaction patterns
. Recommend anti-fraud processes for changing transaction patterns and trends
. Ensure transactions are valid, created for legitimate business reasons, and do not pose a risk to the reputation of client without compromising on customer experience or financial losses
. Work with senior level Analyst and leadership to ensure appropriate action
. Contact and work with customers to resolve risk/concerns identified in data
. Improve the efficiency and effectiveness of manual processes through automation
Additional

Responsibilities:
1. Very good communication
2. Some analytical knowledge and Experience
3. Strong in Basic Excel
4. Good to know is SQL, and prior experience in Fraud.
Technical and Professional Requirements: . 2+ years of relevant experience
. Strong communication skills
. Strong mathematical skills to help collect, measure, organize and analyze data
. Strong Experience in Excel functions and basic understanding of SQL.
. Ability to prioritize work and manage time in a fast-paced environment
. Having knowledge of best practices in fraud detection & prevention will be added advantage
. Excellent attention to detail
. Ability to perform deep dive analysis on sensitive and complex data
. Proven written and oral communication.
. Ability to work effectively in a high volume, multi-task environment
. Superior interpersonal relationship skills
. Effective analytical, problem solving, and decision-making skills
. Proficient knowledge of PC/Internet including Word, PowerPoint and Excel
. Proven working experience in data analysis
Preferred Skills: Domain(IBPO)- Analytics- Technology- Big Data Analytics

Skills: Sql, Problem Solving, Communication, Powerpoint, Excel, Fraud Detection, Word, Data Analysis

Experience: 2.00-4.00 Years

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