Title: Data Analytics Engineer

Location: Chicago,IL (Hybrid 3 days a week)

Duration: 6 Months with possibility if extension

Description:

Client is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role, your duties will include system analysis of various applications and databases and translating those to documentation. You may also be required to create high level acceptance criteria using that documentation.

To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.

Responsibilities:

Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems.
Relate current systems to industry standards to help build a new system.
Manage the execution of data analytics projects to drive value and gain insight from information.
Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated manner.
Use data analysis to detect patterns leading to more efficient testing and data quality.
Perform data analytics to identify and mitigate audit risks and achieve data automation, reconciliation, traceability, lineage and transparency.
Use data analytics to provide actionable, timely and accurate data to drive business insights around regulatory risk, compliance, operations and finance.
Familiar with data sourcing, data capture, data transformation and data preparation techniques
Familiarity with Data Binning and K-means Clustering and applying those techniques.
Working knowledge of core financial processes and related risks and controls and underlying data structures would be beneficial.

Skills and Experience:

A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems.
Minimum 5 years of professional experience, with a minimum 2 years of relevant Data Analytics experience
Extensive experience in technical business analysis in the fintech industry
Exceptional communication skills toward facilitating the use of new software systems
Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc. would be a plus
Knowledge of ACL, databases, and hands on experience / theoretical knowledge in SQL including writing stored procedures and data extraction / manipulation using queries would be a plus

About us

Established in 2004, SPECTRAFORCE is one of the largest and fastest-growing diversity-owned staffing firms in the US. The growth of our company is a direct result of our global client service delivery model that is powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client engaged teams.

We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 140 clients in the US, Canada, Puerto Rico, Costa Rica, and India. Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities and Transportation.

SPECTRAFORCE is built on a concept of human connection, defined by our branding attitude of NEWJOBPHORIA, which is the excitement of bringing joy and freedom to the work lifestyle so our people and clients can reach their highest potential. Learn more at: http://www.spectraforce.com

Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances. Additional benefits SPECTRAFORCE offers to the eligible employees include commuter benefits, 401K plan with matching and a referral bonus program. SPECTRAFORCE offers unpaid leave as well as paid sick leave when required by law.

EEOC: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at LOA@spectraforce.com if you require reasonable accommodation.

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