What are the responsibilities and job description for the Data Insights and Analytics Expert position at Citigroup?
Citi is seeking a Data Insights and Analytics Expert to support the North America Fraud Prevention function covering the CRS line of business. This position will work closely with internal business partners and technologists to create solutions needed to mitigate and prevent fraud.
The successful candidate thrives in a fast-paced, high-performance team environment where creativity and common sense result in great solutions. This person is a self-motivated, highly driven, quick, and proactive thinker who has the passion needed to respectfully challenge the status quo.
Responsibilities
- Engage as technology and data SME during interactions with key partners in Fraud Prevention to develop requirements for new reporting, dashboards, and tools.
- Develop code to extract data from various technology platforms to support CRS portfolios.
- Develop reporting dashboards to highlight impact of fraud trends on business performance and to identify opportunities for improvement.
- Utilize in-depth CRS business knowledge to provide proactive support to our partners (unsolicited reporting and tools).
- Support key partners through data warehousing of business analytic views, data transmissions, data integrations, and process automation.
- Provide support for proofs of concept with new vendor tools that combat fraud applications and account takeover.
- Develop standards that ensure quality of execution and accuracy of business reporting.
- Manage ad-hoc requests for data analysis on data sources where documentation is minimal to non-existent.
This role requires 5 years of experience supporting fraud prevention efforts, with hands-on experience developing in SAS, SQL, C#, C software languages, and Big Data tools. Additional qualifications include strong CRS business knowledge and data analytical skills involving complex processes.
The ideal candidate will have a proven track record of strong CRS business knowledge and data analytical skills involving complex processes. They will be able to understand the story behind the data and summarize results adjusted by audience. Additionally, they must be able to independently challenge the status quo, identify opportunities, investigate issues, and propose recommendations.
The company offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. For additional information regarding Citi employee benefits, please visit citibenefits.com.
Requirements
- Bachelors/University degree in computer science, preferred.
- 5 years of experience supporting fraud prevention efforts required.
- Hands-on experience developing in SAS, SQL, C#, C software languages required.
- 5 years of hands-on experience with Hive/Hue, Python, or other Big Data tools required.
- 5 years of hands-on knowledge of distributed platforms like Linux or Unix required.
- 10 years working with extremely large data sources from multiple platforms such as SQL Server, Oracle, Teradata, Hadoop, and the mainframe, preferred.
- 10 years of hands-on experience with SQL Server Management Studio (SSMS) preferred.
- 5 years of hands-on experience with Autosys enterprise scheduling tool required.
- 5 years of hands-on experience with BitBucket code-versioning tool required.
- Intermediate to advanced knowledge of Microsoft Office Products (Word, Excel, PowerPoint, Access) required.
- 10 years of hands-on experience in data manipulation preferred.
- 1 year of Tableau development experience preferred.
- 10 years of experience in reporting and ad hoc data support preferred.
- Ability to work collaboratively as well as independently to achieve superior results required.