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The Business Analytics Lead Analyst will support the North America Fraud Prevention function covering the Retail Bank line of business. This position will work closely with internal business partners and technologists to create the solutions needed to mitigate and prevent fraud. Because this is a "rapid response team", the successful candidate must thrive in a fast-paced, high-performance team environment in which creativity and commonsense result in great solutions. This person must be a self-motivated, highly driven, quick, and proactive thinker who has the passion needed to respectfully challenge the status quo.
Job Responsibility
Engage as technology and data SME during interactions with key internal Citi partners and external vendors to develop solutions
Develop code to extract data from various technology platforms to support Retail Bank portfolios
Develop reporting dashboards to highlight impact of fraud trends on business performance and to identify opportunities for improvement
Utilize in-depth Retail Bank 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
Utilize leadership skills
Utilize stakeholder and people management experience
Manage multiple ad-hoc requests and small projects
Requirements
10+ years of hands-on experience developing in SAS, required
Knowledge of advanced SQL and/or SAS coding techniques, required
10+ years working with extremely large data sources from multiple platforms such as SQL Server, Oracle, Teradata, and Hadoop required
5+ years of hands-on experience with Hive/Hue, Python, or other Big Data tools, preferred
5+ years of hands-on knowledge of distributed platforms like Linux or Unix, preferred
Knowledge of Hadoop and mainframe platforms, preferred
5+ years of hands-on experience with SQL Server Management Studio (SSMS), preferred
Hands on data visualization experience in Tableau or Power BI, preferred
Experience in reporting and ad hoc data support, preferred
Intermediate to advanced knowledge of Microsoft Office Products (Word, Excel, PowerPoint, Access) required
Hands-on experience in data manipulation, data transformation, and code optimization, required
Ability to work collaboratively as well as independently to achieve superior results, required
Hands on business analysis experience in requirements gathering, stakeholder management, and process mapping, preferred
Have a strong analytical mindset to tackle incomplete, ambiguous, or erroneous data and ability to close data gaps
Ability to understand story behind data and summarize results adjusted by audience, required
Ability to independently challenge status-quo, identify opportunities, investigate issues, and propose recommendations, required
Ability to work under tight deadlines and quickly adapt to changing priorities, required
Ability to work successfully in a cross-functional organization, required
Ability to effectively present technical concepts to a non-technical audience, required
Hands-on experience creating process documentation, required
Nice to have
5+ years of hands-on experience with Hive/Hue, Python, or other Big Data tools
5+ years of hands-on knowledge of distributed platforms like Linux or Unix
Knowledge of Hadoop and mainframe platforms
5+ years of hands-on experience with SQL Server Management Studio (SSMS)
Hands on data visualization experience in Tableau or Power BI
Experience in reporting and ad hoc data support
Hands on business analysis experience in requirements gathering, stakeholder management, and process mapping