Data Analyst-Enterprise Governance
Onsite - Business Systems / Data / Analyst - Contract - Job ID: 23-03464
Job Title: Data Analyst – Enterprise Governance
Hybrid – 3 days in office (Minneapolis, MN).
Individual needs to be primarily proficient in Python and SAS, as well as data mapping exercises.
Pay Rate: $50-$55/hr W2
Duration: 9+ months with potential for extension
INSPYR Solutions is currently seeking a successful Data Analyst to support our Enterprise Data Governance (EDG) and Data Privacy and Protection (DPP) initiatives . This role will collaborate with the business line and technology groups.
Primary responsibilities include:
Effectively work in matrixed team of Data Analysts, Project Managers and Business Analysts in support of a specific business and/or regulatory need.
Research and build a detailed understanding of the problem and related data assets in order to code the data processing and analysis.
Light development coding
Ensure that the data used follows the compliance, access management and control policies of the company while meeting the data governance requirements of the business.
Work with technical groups to support the collection, integration and retention of the data sources.
Apply data visualization and summarization techniques to the analytical results.
Interpret and communicate the results in a manner that is understood by the business.
Bachelor's or Master's Degree in Mathematics, Engineering, Computer Science or equivalent work experience.
5+ years related technical experience and 3+ years analytical experience in the Banking/Financial industry or similar highly regulated industry.
Proficiency with SQL & SAS (mid to expert level)
Intermediate knowledge of application coding and development lifecycle.
Analytical: (e.g. comfortable with data) and can combine an understanding of business objectives, customer needs, and data required to deliver customer experience and business results.
Intermediate knowledge of data governance, data management, data architecture, data modelling concepts and data governance tooling and the complexities of data in a large financial and/or highly regulated institution.
Willingness to continuously develop and acquire new technical skills, learn new tools & programming languages and Big Data techniques.
Proven ability to adjust quickly to shifting priorities, multiple demands, ambiguity and rapid change.
Effective oral and written communication with the ability for analyzing, slicing and dicing data while deriving significant insights.
Natural curiosity and self-directed ability to seek out information and meet goals/deadlines.
Agile experience: Very comfortable following Agile Scrum methodology.
What are your top 3 MUST HAVE skills or experience required?
Python, SAS, and ETL experience
What are 3 NICE TO HAVE skills (or experience) that are preferred, but not required?
Analytics (data quality)
Are there any minimum education requirements related to this position?
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