Analytics Engineer

About the Role We’re looking for an experienced Scrum Master to embed within our Data team - data engineers, analytics engineers, data scientists, and BI developers - driving agile delivery of pipelines, models, and data products. Ideal for someone who understands both agile facilitation and the unique rhythms of data work (long-running pipelines, data quality gates, cross-functional dependencies). Roles & Responsibilities

• Facilitate Scrum ceremonies (planning, stand-ups, backlog refinement, review, retros) for one or more data squads
• Partner with the Data Product Owner to maintain a healthy backlog of pipeline, infrastructure, and analytics work
• Identify and remove blockers, including cross-team dependencies with platform, product, and business stakeholders
• Track sprint metrics (velocity, burndown, cycle time, incident rates) and report trends to leadership
• Coach the team on agile best practices and continuously improve ways of working
• Manage dependencies between data engineering, analytics, and downstream consumers
• Support release coordination for pipelines/models, tracking data quality and SLAs
• Foster a collaborative, psychologically safe team culture
• Manage data-specific risks - schema changes, upstream instability, governance checkpoints

• 3+ years as a Scrum Master/Agile Coach, ideally with technical teams
• Strong grasp of Scrum, Kanban, and hybrid frameworks
• Familiarity with data concepts (ETL/ELT, pipelines, data quality, BI cycles)
• Excellent facilitation, communication, and conflict-resolution skills
• Proficiency with agile tooling (Jira, Azure DevOps, etc.)

Preferred

• CSM, PSM, or SAFe Agilist certification
• Familiarity with dbt, Airflow, Snowflake, Databricks, Looker/Tableau/Power BI
• Experience in scaled agile environments (SAFe, LeSS)

For applications and inquiries, contact:hirings@openkyber.com

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