Senior Engineering Insights Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Engineering Insights Analyst (AI): Driving engineering productivity and operational excellence across ’s Software & Firmware Division with an accent on defining and tracking key metrics. Focus on building executive-level dashboards, integrating data from various sources, and providing actionable insights to senior leadership.
Location: Santa Clara, CA
Salary: 111,070 - 166,400 USD per annum
Company
’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world.
What you will do
- Build and maintain executive- and team-level dashboards using Power BI, Jira dashboards, and other internal reporting systems.
- Develop sprint and delivery dashboards (velocity, burn-down, throughput/flow, scope change, defect trends, predictability).
- Create org-level dashboards for headcount/capacity, cost trends, and forecasting (partnering with Finance/Resource Planning).
- Build program tracking dashboards for key initiatives (milestones, status, risks, dependencies, and delivery health).
- Define and standardize KPI definitions across teams; ensure consistency in how metrics are calculated and reported.
- Improve data quality (validation checks, reconciliations, source-of-truth alignment) and reduce manual reporting.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, Business Analytics, or related field.
- 5+ years in engineering analytics, BI development, or program reporting (semiconductor/hardware preferred).
- Strong proficiency with Power BI (or equivalent) and dashboard design for executive audiences.
- Strong hands-on experience with Jira (JQL, boards, dashboards) and Agile metrics.
- Strong SQL skills for data extraction/transformation and building trusted datasets.
- Ability to define KPIs and communicate insights clearly to senior leadership and non-technical stakeholders.
Nice to have
- Python (or similar) for data processing/automation.
- Experience with Databricks (or equivalent data platform) and multi-site/global reporting.
- Experience with capacity planning/resource tools (e.g., P6) and cost modeling.
Culture & Benefits
- Employee stock purchase plan with a 2-year look back.
- Family support programs to help balance work and home life.
- Robust mental health resources to prioritize emotional well-being.
- Recognition and service awards to celebrate contributions and milestones.
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