Senior Data Analyst

Title: Senior Data Analyst

Location: 830 MORRIS TURNPIKE, Short Hills, NJ

Duration: 12 months

Work Engagement: W2
Work Schedule: 3 days in office/2 days remote

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Data Management. Review and analyze complex multi-faceted, larger scale or longer-term Data Management challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.

Responsibilities:

Consult with Voice of the Customer team to identify and define business requirements, provide recommendations, data mapping and lineage. Clearly and frequently communicate status and issues project modules.

Identify and recommend sources, perform data assessment and profile of the data from multiple, cross business sources.

Identify and capture business and technical Meta data by working with application business owners and technical teams. Prepare and execute data quality rules, perform root cause analysis to improve quality of the data for business consumption.

Qualifications:

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.

• 7 years of experience in one or a combination of the following: Data Integration, data analysis, analytics, or modeling

• 7 years of SQL experience, Data profiling, Data quality.

• 7 years of ETL data lineage / mapping documentation along with data transformation

• 7 years in either Oracle, SQL server or Teradata

Desired Qualifications:

• Extensive knowledge of data research and analysis
  Strong analytical skills with high attention to detail and accuracy
  Excellent verbal, written, and interpersonal communication skills
  Knowledge in Big Query
  Knowledge and understanding of Customer Survey
  Good data analysis skills including root cause analysis
  Outstanding problem solving and decision-making skills
  Ability to research, compile, and perform complex analysis on critical operational data
  Ability to work effectively, as well as independently, in a team environment

• Knowledge of Commercial Banking