Associate Scrum Master

8 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Area(s) of responsibility

What You’ll Do

  • Build & automate reporting
    • Design Power BI dashboards and scorecards sourced from Azure DevOps (Boards/Repos/Pipelines).
    • Track key metrics: velocity/predictability, throughput, cycle & lead time, defect trends, DORA (deploy freq, change failure rate, MTTR).
    • Deliver weekly/monthly executive readouts and ad-hoc analyses.
  • ADO data quality
    • Maintain queries, fields, workflows, tags, and iteration/area paths.
    • Run regular audits; improve data hygiene and consistency across teams.
  • Operational cadence
    • Orchestrate sprint/release calendars, quarterly planning, and backlog health reviews.
    • Standardize templates for status, risk/issue logs, and decision records.
  • Administration & coordination
    • Prep materials for exec forums; manage meeting logistics, follow-ups, and action tracking.
    • Support license/admin for ADO/Power BI; light vendor/SOW and budget tracking.
  • Continuous improvement
    • Identify bottlenecks via data; propose and drive process changes.
    • Document SOPs and lightweight playbooks for repeatable execution.
  • Compliance & change management
    • Help with audit readiness , security reports and change logs tied to releases.

What You Surely Bring

  • 8+ years of total experience with minimum 5 years in engineering operations, PMO/portfolio analytics, BI, or similar.
  • Azure DevOps: Advanced Boards/Queries/Analytics; comfortable with repos/pipelines concepts.
  • Power BI: Strong data modeling, Power Query, and DAX; ability to automate refresh and publish.
  • Excel power user: Pivot tables, Power Query, functions (e.g., XLOOKUP), data cleansing.
  • Data skills: SQL for joins/aggregations; ability to connect APIs (ADO REST) is a plus.
  • Delivery savvy: Understanding of Agile/Scrum/SAFe practices and CI/CD fundamentals.
  • Communication: Clear storytelling with data; concise executive summaries.
  • Mindset: Ownership, speed, and a practical “figure it out” attitude.

Nice to have

  • Scripting (Python/R) for data wrangling or automation.
  • Experience with Confluence/SharePoint, ServiceNow/Smartsheet, or OKR tooling.
  • Background in enterprise software or product engineering environments.

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