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Skills
Agile Programming Methodologiesunmatched
Analysis Skillsunmatched
Apache Hadoopunmatched
Big Dataunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Cross-Functionalunmatched
Data Analysisunmatched
Data Processingunmatched
Data Qualityunmatched
Data Setsunmatched
Data Warehousing Applicationsunmatched
Database Administrationunmatched
Database Extract Transform and Load (ETL)unmatched
Database Technologyunmatched
Diversityunmatched
Documentationunmatched
Enterprise Applicationsunmatched
Enterprise Architectureunmatched
Identify Issuesunmatched
Master Data Management (MDM)unmatched
Metadataunmatched
Microsoft SQL Serverunmatched
MongoDBunmatched
Multiplatform/Cross-Platformunmatched
Multitaskingunmatched
Organizational Skillsunmatched
PostgreSQLunmatched
Presentation/Verbal Skillsunmatched
Problem Solving Skillsunmatched
Procedure Developmentunmatched
Process Improvementunmatched
Production Supportunmatched
Quality Managementunmatched
Query Analysisunmatched
Relational Databases (RDBMS)unmatched
SQL (Structured Query Language)unmatched
Software Administrationunmatched
Stored Proceduresunmatched
Team Playerunmatched
Trend Analysisunmatched
Virtualizationunmatched
Writing Skillsunmatched
Description
Senior Enterprise Data Analyst Contract Length: 12+ months Location: Dallas, Texas (hybrid – 3 days onsite) ****LOCAL CANDIDATES ONLY** *NO 3RD PARTY Vendors
We're partnering with a client seeking a Senior Data Analyst to help support and enhance enterprise data initiatives. This is an excellent opportunity for a data professional who enjoys investigating complex data issues, collaborating with technical teams, and improving the quality, integrity, and accessibility of critical business data.
You'll work closely with database administrators, ETL developers, data engineers, and business partners to analyze data, troubleshoot issues, support enterprise data platforms, and contribute to ongoing data governance efforts.
Required Qualifications
4+ years of experience in a Data Analyst role supporting enterprise applications or data platforms
Strong SQL skills with experience querying and analyzing large datasets
Experience working with SQL Server, Exadata, or similar relational database technologies
Solid understanding of data warehousing, ETL processes, and enterprise data architecture
Experience identifying, researching, and resolving data quality or data integrity issues
Ability to interpret complex datasets and communicate findings to both technical and non-technical stakeholders
Some prior experience with data governance, metadata management, or Master Data Management (MDM)
Familiarity with data virtualization technologies such as Denodo
Experience with Big Data technologies, including Hadoop or MongoDB
Experience with PostgreSQL and cloud-based data platforms
Experience developing SQL stored procedures
Knowledge of Agile delivery methodologies
Strong analytical, organizational, and problem-solving skills
Excellent written and verbal communication skills
Ability to manage multiple priorities while working in a collaborative, fast-paced environment
Responsibilities
Analyze and investigate data discrepancies, inconsistencies, and production issues across enterprise data platforms.]
Partner with technical teams to understand data flows, transformations, and integration processes
Validate data movement between operational systems, data warehouses, and downstream applications
Support production releases by performing data validation and assisting with issue resolution
Help maintain documentation related to data definitions, business rules, lineage, and governance standards
Assist with initiatives focused on data quality, master data management, and enterprise data solutions
Identify trends and opportunities to improve data accuracy, consistency, and reporting
Collaborate with cross-functional teams to support strategic data initiatives and continuous process improvement
Genius Road, LLC is proud to be a Certified Women’s Business Enterprise, an Equal Opportunity Employer and values diversity. All employment is decided on the basis of qualifications, merit and business need.