> Markdown version of [/jobs/ext/4620564-scrum-master-data-analytics-rte](https://www.wearedevelopers.com/jobs/ext/4620564-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:** Permanent 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 7, 2026 - **Apply:** https://www.careerjet.com/jobad/us0c5b84c00f817c7f71f73a25fca2c679 ## 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.