Data Analytics Scrum Master

Apptad; South San Francisco (CA); Vor Ort; USD 96.000 - 165.000; Teilzeit

Zusammenfassung

APPTAD, Inc. in South San Francisco seeks a seasoned Data Analytics Scrum Master to guide data engineers, analysts, and stakeholders through complex data initiatives. You will champion Agile methods, facilitate ceremonies, remove impediments, and collaborate with Product Owners and Data Architects to align backlogs with business goals. Strong communication and leadership are essential as you drive enterprise data platforms and BI solutions to success.

Qualifikationen

• 12+ years of experience as a Scrum Master focused on Data Warehousing and analytics projects.
• CSM or PSM or equivalent Agile certification.
• Strong knowledge of Agile (Scrum/Kanban) methodologies and experience with data platforms.
• Excellent stakeholder management and communication skills.

Aufgaben

• Lead and facilitate core Scrum ceremonies for data warehousing and analytics squads.
• Remove impediments to ensure timely delivery of data platforms and BI solutions.
• Collaborate with Product Owners, Data Architects, and Senior Business Systems Analysts to refine the backlog.
• Break down ETL/ELT requirements into actionable user stories.
• Track Agile metrics (velocity, burndown) and drive continuous improvement.
• Coach cross-functional team members on Agile principles for data science lifecycles.

Kenntnisse

Data Warehousing

BI analytics

Agile coaching

Stakeholder management

Leadership

Communication

Tools

JIRA

Confluence

Azure DevOps

Jobbeschreibung

Job Location – South SFO – 3 Days Onsite

Job Type: Contract

We are seeking a highly experienced Data Analytics Scrum Master to facilitate and optimize Agile processes for our data and analytics teams. The ideal candidate will guide data engineers, analysts, and business stakeholders through complex data initiatives, ensuring efficient delivery of cutting-edge data solutions. Operating as a critical partner to technical teams and business stakeholders—including roles like those detailed in the "Senior Business Systems Analyst.docx" file—you will champion Agile methodologies and support data-informed decision‑making across the organization.

Key Responsibilities

• Lead and facilitate core Scrum ceremonies, including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives specifically tailored for data warehousing and analytics squads.
• Act as a servant-leader by identifying and removing impediments that hinder the delivery of enterprise data platforms and BI solutions.
• Collaborate closely with Product Owners, Data Architects, and Senior Business Systems Analysts to ensure the product backlog is refined, prioritized, and aligned with high-level business goals.
• Assist in breaking down complex data integration (ETL/ELT) requirements and functional specifications into clear, actionable user stories.

Delivery & Continuous Improvement:

• Track Agile metrics (e.g., velocity, sprint burndown) to monitor delivery progress and foster a culture of continuous improvement within the data team.
• Ensure that the team's output meets established data governance and quality standards.

Coaching & Mentorship:

• Coach cross-functional team members on Agile principles, adapting standard practices to accommodate the unique lifecycles of advanced data analysis and machine learning projects.

Required Qualifications & Skills

Experience:

12+ years of experience as a Scrum Master, with a strong focus on Data Warehousing, Business Intelligence, and advanced analytics projects.

Agile & Technical Proficiency:

• Certified ScrumMaster (CSM), Professional Scrum Master (PSM), or equivalent Agile certification.
• Strong knowledge of Agile (Scrum/Kanban) methodologies.
• Proficiency in requirements management tools (e.g., JIRA, Confluence, Azure DevOps).
• Familiarity with Data Warehouse/Data Lake concepts, cloud data platforms (AWS, Azure, or Google Cloud), and BI tools to effectively communicate with the development team.

Soft Skills:

• Exceptional written and verbal communication skills, with the ability to articulate complex technical and analytical concepts to diverse audiences, from developers to C-level executives.
• Demonstrated experience in senior-level stakeholder management and conflict resolution.
• Proven leadership skills with the ability to drive consensus and organizational change