Lead Data Analyst - IT Risk

Job Number: 1807581 Business: GE Capital Business Segment: Capital - Staff About Us: Now is the time to join GE Capital in building a better tomorrow, today. If you thrive on being challenged, interacting with diverse technical teams and using your expertise to imagine, innovate and explore, then GE Capital's new Technology Center in New Orleans, LA is the best place for you.
Here the best and brightest technical experts will come together and use cutting-edge technologies to solve some of the world's toughest problems. Realize your potential today. Join us in an environment where you'll find endless learning opportunities, career growth and development, and a culture committed to innovation. Our state-of-the art facility, located in the heart of the Central Business District, offers next generation virtual meeting technology, collaborative workspaces, and breathtaking views of historic New Orleans.
Join GE Capital in leading innovation in Financial Services and one of the Country's fastest growing technology sectors, while living in New Orleans - a city steeped in culture offering diversity, community, and an unparalleled quality of life. To learn more about our Technology Center please view http://youtu.be/P3NNWUzzRkc Posted Position Title: Lead Data Analyst - IT Risk Career Level: Experienced Function: Information Technology Function Segment: IT Compliance Location: United States : Louisiana City: New Orleans Postal Code: 70170 Relocation Assistance: Yes Role Summary/Purpose: GE is an equal opportunity employer, offering a great work environment, challenging career opportunities, professional training and competitive compensation.

Support GE Capital IT Risk Management program by performing IT risk related data analysis. The individual will work with numerous cross functional teams to integrate data into the risk classification and analysis model and provide management reports. Essential Responsibilities:

Develop, implement and manage IT Risk classification and analysis model (design, development, testing, calibration, documentation, approval, implementation, monitoring and reporting).

Develop and own relationships between inherent IT risks and relevant IT controls.

Perform data analysis of IT risk and controls assessments.

Translate business requirements into data specifications and meaningful management reports

Assist in identifying overlaps in data requirements across teams and projects.

Own development and support of ACL tools for data analytics. Establish and implement controls around analysis configuration.

Identify opportunities to reuse existing data structures to accommodate new business requirements.

Work with functional counterparts on requirements gathering activities and assist in managing expectations with customers (ie balancing their needs with wants and educate as appropriate)

Identify impact on existing model/solution triggered by new/changed requirements and incorporate operational definitions

Establish and maintain strong relationships with key functional stakeholders Qualifications/Requirements: Basic Qualifications:

Bachelor's Degree

Minimum 2 years of experience as a Data Analyst/Business Analyst

Eligibility Qualifications:

Must submit your application for employment through gecareers.com to be considered (Internals via COS)

Must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

Must be willing to comply with pre-employment screening, including but not limited to drug testing, reference verification, and background check.

Must be willing to work out of an office in New Orleans, LA

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening Additional Eligibility Qualifications: GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Desired Characteristics:

Ability to learn new technologies quickly

Independent, self-starter with ability to effectively manage multiple tasks simultaneously

Experience with ACL tool; strong knowledge of MS office - PowerPoint and Excel Strong Familiarity with data mining tools (Access, SQL, BO, etc.) a plus

Six Sigma/Lean experience

Excellent interpersonal, written/verbal communication

Demonstrated success in applying process rigor