Data Governance Analyst
Listed on 2026-02-19
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IT/Tech
Data Analyst, Data Security
What We Do
We calm the confusion of IT by guiding the connection between people and technology. If a customer is looking for a better way to manage their warehouse inventory, equip their workforce, or secure their data, we make it happen. All it takes is finding the right combination of tech hardware, software, cloud solutions, and support services. That’s what we do. We’re the IT Department’s IT Department.
WhoWe Are
Our team is made stronger by a multitude of backgrounds, experiences, and perspectives. It’s what makes Connection unique—what drives us to innovate and create technology solutions that stand apart from the crowd. We’d love for you to be a part of that fabric, to share your ideas and experiences with a team that thrives on fresh thinking, creativity, and helping others.
WhyYou Should Join Us
You’ll find supportive teammates and a rewarding career at Connection—plus great benefits. We take pride in supporting employees with a total rewards package that provides financial, emotional, and physical resources for you and your family. Our compensation, 401k plans, medical insurance, and other benefits are progressive and competitive. We value the importance of our employees’ emotional wellbeing. To support employees, we provide free therapy visits, mental health coaching and tools, and meditation resources.
You’ll also enjoy a generous paid time off package that includes not only vacation and sick time, but also Wellness and Volunteer Time Off days.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Responsibilities- Reporting to the Manager of Data Governance and working with minimal supervision, the Data Governance Analyst plays a central role in implementing and sustaining processes that ensure enterprise data is secure, trusted, and well-documented.
- Managing data model certification, metadata quality, access controls, and the registration of reporting assets across platforms such as Databricks and Power BI.
- Providing Scrum Master support for governance‑related work streams or ownership of the enterprise data dictionary and cataloging practices.
- Collaborating cross‑functionally with business stakeholders, engineers, and data stewards to enforce governance policies, improve intake workflows, and promote data literacy and transparency.
- Managing the intake, validation, and certification process for data models used in enterprise reporting.
- Maintaining and enforcing metadata standards for gold tables, dashboards, and data assets across Databricks, Power BI, and supporting platforms.
- Coordinating and documenting data access requests, ensuring proper approvals, justifications, and security alignment.
- Using Jira and Service Now to manage governance tasks, Epics, and intake queues.
- Leading or supporting governance audits related to metadata completeness, model certification, or access tracking.
- Partnering with governance leadership to improve intake workflows, define process documentation, and support cross‑functional communication.
- Escalating systemic issues and contributing to governance process design and continuous improvement.
- Serving as Scrum Master for the data governance team, facilitating sprint planning, backlog grooming, daily standups, and retrospectives.
- Coordinating cross‑functional governance initiatives and ensuring timely delivery of prioritized work.
- Tracking team velocity, surfacing blockers, and communicating sprint status to stakeholders.
- Maintaining Jira hygiene and ensuring stories have clear requirements, definitions of done, and acceptance criteria.
- Owning the structure and maintenance of the enterprise data dictionary, ensuring gold table metadata is accurate, complete, and accessible.
- Overseeing cataloging of dashboards and models, ensuring each asset includes definitions, classification, audience, and lineage.
- Collaborating with data producers and analysts to gather and standardize business definitions across domains.
- Driving consistency in metadata practices and supporting business‑facing documentation efforts in tools like Confluence or MS Purview.
- Strong understanding…
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