> Markdown version of [/jobs/ext/4585697-scrum-master-data-analytics-rte](https://www.wearedevelopers.com/jobs/ext/4585697-scrum-master-data-analytics-rte). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Scrum Master Data & Analytics (RTE) - **Company:** Goldenpick Technologies - **Location:** Houston, TX, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Agile Methodology, Microsoft Azure, Business Intelligence Development, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, Scrum Methodology, Data Lakes, Atlassian Tools, Data Analytics, Tools for Reporting, Data Pipelines - **Published:** November 5, 2026 - **Apply:** https://www.dice.com/job-detail/b752b5a7-9630-4683-beb7-fb782fb8c7e2 ## About the Role * Scrum Master Experience: 5-10+ years of hands-on experience as a Scrum Master, leading Agile teams in an enterprise IT environment. * Data & Analytics Exposure: Experience supporting Data & Analytics initiatives involving data engineering, ETL/ELT, data integration, data warehouses, BI, or reporting platforms. * Agile Expertise: Strong understanding of Scrum and Agile methodologies, including sprint planning, backlog management, estimation, retrospectives, and Agile metrics. * Tools & Delivery Management: Hands-on experience with Azure DevOps, or similar Agile project management tools; ability to track sprint progress, dependencies, and delivery metrics. * Stakeholder & Team Management: Strong facilitation, communication, conflict-resolution, and coordination skills, with the ability to work effectively with technical teams, Product Owners, and business stakeholders. ## Description * Serve as Scrum Master for Data & Analytics teams, facilitating Agile delivery across data engineering, data integration, BI, reporting, and analytics initiatives. * Facilitate daily stand-ups, sprint planning, sprint reviews, retrospectives, and backlog refinement sessions. * Work closely with Product Owners and business stakeholders to maintain prioritized and well-defined product backlogs. * Coordinate with data engineers, data architects, BI developers, data analysts, and other technical teams to ensure smooth sprint execution. * Track sprint progress, team capacity, velocity, burndown charts, and delivery commitments. * Identify and remove impediments, resolve delivery bottlenecks, and proactively manage risks and dependencies. * Ensure user stories have clear requirements, acceptance criteria, estimates, and appropriate prioritization. * Coordinate cross-team activities involving data pipelines, ETL/ELT processes, data warehouses, data lakes, reporting, and analytics platforms. * Promote collaboration between technical teams and business stakeholders to ensure alignment on scope, priorities, and expected outcomes. * Monitor Agile delivery metrics and provide regular sprint status, progress reports, and delivery updates to stakeholders. * Coach team members on Scrum principles, Agile practices, continuous improvement, and effective team collaboration. * Support release planning, testing coordination, deployment readiness, and resolution of issues impacting production delivery.