Senior Enterprise Data Analyst #3230

Genius Road, LLC; Dallas (TX); Hybrid; USD 95,000 - 130,000; Full time

Job summary

Genius Road, LLC is seeking a Senior Enterprise Data Analyst to support and enhance enterprise data initiatives. The role focuses on investigating complex data issues, collaborating with DBAs, ETL developers, data engineers, and business partners to ensure data quality, integrity, and accessibility across platforms.

The position involves analyzing data movement, validating data between systems, and contributing to governance efforts while leveraging Big Data technologies and cloud platforms.

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 with SQL Server, Exadata, or similar relational databases.
• Solid understanding of data warehousing, ETL processes, and enterprise data architecture.
• Experience identifying and resolving data quality issues.
• Ability to interpret complex datasets and communicate findings to both technical and non-technical stakeholders.
• Experience with data governance, metadata management, or Master Data Management (MDM).
• Familiarity with Denodo for data virtualization.
• Experience with Big Data technologies (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 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.

Skills

SQL

Large dataset analysis

Data cleaning

Data governance awareness

Stakeholder communication

ETL awareness

Agile delivery

Analytical thinking

Problem solving

Tools

SQL Server

Exadata

Denodo

Hadoop

MongoDB

PostgreSQL

Cloud data platforms

Job description

Senior Enterprise Data Analyst

Contract Length: 12+ months

Location: Dallas, Texas (hybrid - 3 days onsite) ****LOCAL CANDIDATES ONLY**

*NO 3 RD 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.