W2 - HYBRID Role : Data Management Specialist

Overview

On Site
Contract - W2

Skills

Data Integrity
Documentation
SANS
Evaluation
Innovation
Analytical Skill
Analytics
Project Management
Training
Military
Requirements Elicitation
Requirements Analysis
Finance
RDBMS
Data Management
Meta-data Management
Data Flow
Process Flow
Collaboration
Management
JIRA
Agile
Writing
Reverse Engineering
SQL
Teradata
Google Cloud Platform
Google Cloud
Business Requirements Gathering
Data Analysis
Data Quality
Business Analysis
Data Governance
Data Integration
Communication
Presentations

Job Details

W2 contract - HYBRID role

Job Title: Data Management Specialist

Location: Minneapolis, MN

Duration: Long term Contract

Mode of Work: HYBRID

I am also including the Job Description below:

Job Description:

Data Management - Contingent Resource: Covers jobs that drive oversight, governance, and management of critical data to support business needs, initiatives, and strategies. Consult with data product, data integrity, technology, and business partners to set standards, policies and practices for data flow, data framework, data access, documentation, quality and remediation. This sub-family is specific to contingent resources.

Responsibilties;

Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Data Management

Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking

Required Qualifications:

7+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Experience requirements gathering and data analysis. Needs to be a self-starter. Ideal candidate will be someone who has a strong understanding of the requirements analysis lifecycle, Data analysis, Financial experience and strong foundational RDBMS expertise. The emphasis is on business and data analysis, as opposed to a technology skillset (developers, DBS, etc.).

  • Additional responsibilities may include data management, data lineage/metadata, data controls; experience in data control governance; data defect/issue/deficiency remediation; documenting data flows/process flows
  • Work effort coordination/management experience, current process assessment and improvement experience
  • Experience writing business requirements as JIRA stories, working in agile environment
  • Experience writing sql, understanding pseudo-SQL code and reverse engineer them to write biz/tech requirements
  • Strong communication & presentation skills
  • Teradata, SQL/Teradata, Google Cloud Platform Big Query, Business Requirements Gathering, Business analysis, Complex Data Analysis, Data Quality & Validation, Business Analysis, Data Aggregation, Data Governance, Data Integration, Data Lineage, Critical thinker, Strong Communication and presentation skills
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