Data Steward

Dodge Construction Network

3d•$65,000 - $75,000•Remote

About The Position

Dodge Construction Network (Dodge) is seeking a Data Steward to play a key role in ensuring the quality, accuracy, and integrity of our data assets. This position is responsible for monitoring data quality, executing data improvement initiatives, and working with cross-functional teams to optimize data workflows. The ideal candidate should have strong SQL skills, experience working with AWS QuickSight, Tableau, or other data visualization & analysis tools and the ability to analyze and manage large datasets to improve data integrity. The Data Steward will collaborate with the Data Quality Management team to uphold company-wide data governance and ensure that our data assets align with strategic business objectives. This position reports directly to the Senior Manager, Operational Performance Management. Location This is a remote, home-office-based role, and candidates located in the continental United States will be considered. For this position, there is a preference to hire in the Eastern Time Zone; however, candidates in other areas/time zones would be considered as well. Travel Requirements Expected travel is up to 10% for this role.

Requirements

3–5 years of experience in a data steward, data analyst, or data governance role, preferably in the construction industry or a data-driven organization
Proficient in SQL (query writing, data extraction, troubleshooting)
Experience with AWS QuickSight or Tableau Desktop/Tableau Prep preferred
Strong Microsoft Excel skills (pivot tables, formulas, data manipulation)
Experience working with relational databases (e.g., Oracle, MySQL, PostgreSQL)
Knowledge of data governance, quality frameworks, and data lifecycle management
Experience working with large datasets to drive actionable insights
Strong understanding of data profiling, cleansing, and validation techniques
Highly detail-oriented with strong problem-solving and analytical skills
Excellent written and verbal communication skills
Ability to work independently while collaborating effectively with teams
Self-starter mindset with a proactive approach to data stewardship challenges
BA/BS Degree in Data Science, Information Systems, Business Analytics, or a related field or equivalent work experience.

Nice To Haves

Familiarity with the Data Management Body of Knowledge (DMBOK).

Responsibilities

Continuously monitor, measure, and analyze data quality to maintain accuracy, completeness, and consistency
Identify and resolve data inconsistencies, gaps, and anomalies in accordance with business rules and quality standards
Develop and implement data validation processes to maintain data integrity
Write, optimize, and troubleshoot SQL queries to extract and validate data
Analyze large datasets to identify patterns, trends, and areas for data improvement
Support data migration, transformation, and reconciliation efforts
Develop interactive dashboards and reports using AWS QuickSight and Tableau
Prepare and present data insights to stakeholders, enabling data-driven decision-making
Manage the sourcing, structuring, and standardization of data assets
Collaborate with internal teams to optimize workflows and improve data collection processes
Utilize automation and AI-powered tools where applicable to streamline data quality tasks
Work closely with internal stakeholders, including Content, Product, Sales, and Technology teams, to ensure data meets business needs
Ensure compliance with data governance policies, including alignment with industry standards (e.g., DMBOK)
Contribute to the development of best practices for data stewardship across the organization