Enterprise Data Analyst

RSI EnTech, LLC; Grand Junction (CO); On-site; USD 100,000 - 115,000; Full time

Benefits offered by this job

PTO plan

FEHB medical

401K match

Life insurance

Disability insurance

Job summary

RSI EnTech, LLC is seeking an Enterprise Data Analyst in Grand Junction, CO to develop and maintain the DOE LM enterprise data architecture. You will ensure data is organized, governed, secure, and accessible to support operations and strategic decisions.

This role collaborates with Information Governance, IT, and business units to improve data quality and establish standards, while aligning with the organization's data maturity roadmap. Travel is expected to be under 10%.

Qualifications

• Bachelor’s degree in CS/IS/Data Science or related field; equivalent experience considered.
• 4–6 years of relevant experience in data architecture or governance.
• Experience with enterprise data, relational databases, metadata management, or BI tools preferred.

Responsibilities

• Develop and maintain enterprise data architecture, models, metadata, and data standards.
• Collaborate with units to understand processes and improve data quality and accessibility.
• Support governance councils by creating master data sets, standards, and metadata.
• Analyze data sources to identify relationships, redundancies, and quality issues.
• Work with admins, analysts, and developers to align with data standards.
• Document data flows, integrations, lineage, and metadata to aid reuse.
• Assist with data roadmap and maturity initiatives.

Skills

Data architecture

Data management

Information architecture

Business intelligence

Analytics

Information governance

Metadata management

Relational databases

Education

Bachelor’s degree in CS/IS/Data Science

Job description

About RSI

RSI is a dynamic group of companies that has provided services to major federal clients and Fortune 500 engineering and construction companies since 1996. We have experience in complex, highly regulated markets providing environmental, nuclear, construction management, project delivery, and specialty professional services while maintaining an excellent safety record.

We offer a full range of benefits including a generous PTO plan, paid holidays, FEHB medical, dental, vision, 401K (100% match up to 4% eligible compensation) and 100% immediate vesting, basic and supplemental life insurance, and short- and long-term disability.

RSI is headquartered in Oak Ridge, Tennessee, and is a wholly owned operating company of ASRC Industrial (AIS). AIS is a wholly owned operating company of Arctic Slope Regional Corporation (ASRC), an Alaska Native Corporation (ANC). Through ASRC, we are a certified Minority Business Enterprise (MBE) and Small Disadvantaged Business (SDB), and we also offer 8(a) options.

Position Summary

RSI is recruiting for an Enterprise Data Analyst who will be responsible for developing and maintaining the Department of Energy’s (DOE) Office of Legacy Management's (LM) enterprise data architecture. Ensuring structured and unstructured data is organized, governed, secure, and accessible to support business operations and strategic decision-making. This position partners with Information Governance, Data Governance, Information Technology, Business Operations, and other business stakeholders to improve data quality, establish enterprise data standards, develop conceptual and logical data models, and support the organization's data maturity roadmap. This role helps transform data and information into trusted organizational assets while ensuring compliance with DOE policies.

Travel requirement: This position is required to travel less than 10% of the time.

Job Details

Job Title: Enterprise Data Analyst
Location(s): Grand Junction, CO
Status: Full-Time
FLSA: Exempt
Hiring Range: $100,000 - $115,000.00 per year. (The anticipated starting salary is based on the posted minimum requirements for this position. The offered salary will be based upon the selected applicant's education, training, and experience.)

Essential Duties and Responsibilities

• Develop and maintain enterprise data architecture including conceptual, logical, and physical data models, metadata, business glossaries, taxonomies, and data standards.
• Partner with business units to understand business processes, identify data requirements, and recommend improvements that increase data quality, accessibility, integration, and lifecycle management.
• Support the Unified Governance Council and associated working groups by developing master data sets, data standards, business definitions, metadata, and governance practices.
• Analyze enterprise data sources to identify relationships, redundancies, quality issues, and opportunities for standardization.
• Collaborate with application owners, database administrators, business analysts, and developers to ensure enterprise solutions align with approved data architecture standards.
• Research emerging technologies, industry standards, and best practices in enterprise data architecture, metadata management, master data management, analytics, and information governance.
• Ensure enterprise data are managed according to DOE security requirements, privacy requirements, records management policies, and information governance standards.
• Assist with developing the organization's enterprise data roadmap and support implementation of data maturity initiatives.
• Support reporting, business intelligence, and analytics initiatives by improving the availability, consistency, and quality of enterprise data.
• Document data flows, system integrations, data lineage, and metadata to improve organizational understanding and reuse of enterprise information assets.
• Other duties as assigned.

Required Education and Years of Relevant Experience

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Information Management, Business Analytics, or related field. Equivalent experience may be considered.
• 4-6 years of relevant experience.
• Experience in data architecture, data management, information architecture, business intelligence, analytics, or information governance.
• Experience working with enterprise data, relational databases, metadata management, or business intelligence tools preferred.