Description

Minimum Qualifications

• Strong SQL experience (Oracle preferred): joins, window functions, CTEs, and performance aware analytical queries.

• MongoDB experience, including aggregation pipelines and understanding schema tradeoffs in document- based systems.

• Hands-on Power BI experience: data models, DAX fundamentals, refresh behavior, and metric validation.

• Solid grounding in statistical reasoning for analytics: distributions, aggregation effects, segmentation, bias detection, and trend interpretation.

• Experience working within an SDLC and analytics delivery lifecycle (Agile/Jira familiarity).

• Strong written and verbal communication: ability to explain complex analytical findings clearly to technical and non-technical audiences.

Nice to Haves

• Experience with large-scale enterprise analytics or developer productivity metrics.

• Familiarity with BI semantic modeling (star/snowflake, measures vs. dimensions).

• Exposure to Jira, Jenkins, SonarQube, Ansible Tower, or similar engineering tooling.

• Python or similar scripting for exploratory analysis, validation, or repeatable checks.

• Background in data governance, metric stewardship, or analytical standards (definitions, SLAs, lineage)

Key Skills

Education

Any Gradute