Business Analytics Lead Analyst

The Business Analytics Lead Analyst will support the North America Fraud Prevention function covering the Retail Bank, CRS, and Brands lines of business. This position will work closely with internal business partners and technologists to create the solutions needed to mitigate and prevent fraud.

The successful candidate thrives in a fast-paced, high-performance team environment where creativity and commonsense 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.  

The Business Analytics Lead Analyst responsibilities include the following:

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 various Citi products
• Develop reporting dashboards to highlight impact of fraud trends on business performance and to identify opportunities for improvement.
• Utilize in-depth CRS, Brands, 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.
• Stakeholder and people management experience.
• Demonstrated leadership skills.
• Proven ability to manage multiple ad-hoc requests and small projects.

Qualifications:

• 5+ years of experience supporting fraud prevention efforts, preferred.
• 5+ years of hands-on experience developing in SAS, SQL, required.
• Knowledge of advanced SAS and SQL coding, preferred.
• 2+ years of hands-on experience with Hive, Hue, Python, R, Anaconda or other Big Data tools, preferred.
• 8+ years of hands-on knowledge of distributed platforms like Linux or Unix, preferred.
• 10+ years working with extremely large data sources from multiple platforms such as SQL Server, Oracle, Teradata, Hadoop, and the mainframe, preferred.
• 5+ years of hands-on experience with SQL Server Management Studio (SSMS), preferred.
• Hands on knowledge of the Autosys enterprise scheduling tool, preferred.
• 5+ years of hands-on experience with BitBucket code-versioning tool, preferred.
• Intermediate to advanced knowledge of Microsoft Office Products (Word, Excel, PowerPoint, Access), required.
• 10+ years of hands-on experience in data manipulation, preferred.
• Hands on data visualization experience in Tableau or Power BI, preferred.
• 8+ years of experience in reporting and ad hoc data support, preferred.
• 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 be able to close data gaps.
• Proven track record of strong business knowledge and data analytical skills involving complex processes required.
• 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.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Education:

Bachelors/University degree in business or computer science, preferred. Master’s degree, preferred.

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Job Family Group:

Decision Management

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Job Family:

Business Analysis

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Time Type:

Full time

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