Fidelity National Information- FIS

Fraud Prevention DB (SQL & Power BI) Analyst

Fidelity National Information- FIS

Cincinnati, OH, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Welcome to Fidelity National Information- FIS, one of the world's leading financial technology companies. We are currently seeking a highly skilled and motivated Fraud Prevention DB (SQL & Power BI) Analyst to join our dynamic team. As a key member of our Fraud Prevention team, you will play a crucial role in protecting our clients and their assets from fraudulent activities. If you have a strong background in SQL and Power BI, a passion for data analysis, and a drive to make a difference in the financial industry, we want to hear from you! Join us and be a part of our mission to provide innovative solutions and superior service to our clients.

  1. Conduct data analysis using SQL and Power BI to identify potential fraudulent activities.
  2. Collaborate with cross-functional teams to develop and implement fraud prevention strategies.
  3. Monitor and analyze transactional data to detect and prevent fraudulent activities.
  4. Utilize various data sources and tools to gather information and identify potential fraud patterns.
  5. Generate reports and dashboards to present findings and recommend solutions to management.
  6. Stay up-to-date with industry trends and best practices in fraud prevention and detection.
  7. Develop and maintain fraud prevention policies and procedures.
  8. Investigate and resolve fraud cases by working closely with internal and external stakeholders.
  9. Communicate and educate clients on fraud prevention measures and best practices.
  10. Continuously monitor and improve fraud detection processes and systems.
  11. Participate in team meetings and provide valuable insights and suggestions for improvement.
  12. Adhere to strict confidentiality and security protocols to protect sensitive information.
  13. Collaborate with IT and other departments to ensure data accuracy and integrity.
  14. Train and mentor junior analysts on fraud prevention techniques and tools.
  15. Provide exceptional customer service to clients and address any inquiries or concerns related to fraud prevention.
Where is this job?
This job is located at Cincinnati, OH, USA
Job Qualifications
  • Proficiency In Sql And Power Bi: The Ideal Candidate Should Have A Strong Background And Experience In Both Sql And Power Bi, As These Are The Main Tools Used For Data Analysis And Reporting In Fis.

  • Knowledge Of Fraud Prevention Techniques And Tools: The Candidate Should Have A Good Understanding Of Fraud Prevention Techniques And Tools, Such As Anomaly Detection, Data Mining, And Machine Learning, To Effectively Identify And Prevent Fraudulent Activities.

  • Experience With Data Management And Manipulation: The Role Of A Fraud Prevention Db Analyst Involves Working With Large And Complex Datasets. Therefore, The Candidate Should Have Experience In Data Management And Manipulation, Including Data Cleansing, Transformation, And Integration.

  • Attention To Detail And Analytical Skills: Detecting And Preventing Fraud Requires A Keen Eye For Detail And Strong Analytical Skills. The Candidate Should Be Able To Identify Unusual Patterns And Trends In Data And Draw Meaningful Insights From Them.

  • Communication And Teamwork: As A Fraud Prevention Db Analyst, The Candidate Will Be Working Closely With Other Team Members, Including Data Scientists, Analysts, And Investigators. Strong Communication And Teamwork Skills Are Essential To Collaborate Effectively And Share Insights And Findings With The Team.

Required Skills
  • Data Analysis

  • Data Visualization

  • Data Mining

  • Risk assessment

  • fraud investigation

  • SQL Database Management

  • Fraud detection

  • Query optimization

  • Power BI reporting

  • Pattern Recognition

  • Fraud Prevention Strategies

Soft Skills
  • Communication

  • Conflict Resolution

  • Customer Service

  • Leadership

  • Time management

  • creativity

  • Attention to detail

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Fraud Prevention DB (SQL & Power BI) Analyst in Cincinnati, OH, USA is $60,000-$80,000 per year. This may vary depending on factors such as experience, education, and specific job responsibilities.

Additional Information
Fidelity National Information- FIS is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedMarch 14th, 2024
Apply BeforeJune 21st, 2025
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About Fidelity National Information- FIS

Fidelity National Information Services, Inc. is an American international provider of financial services technology and outsourcing services. The company offers solutions in retail and enterprise banking, payments, capital markets, asset and wealth management, risk and compliance, treasury and insurance.

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