Senior Engineering Insights Analyst - Power BI / SQL / Databricks / Semicon at Marvell Technology

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

166400.0

Posted On

30 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, SQL, Databricks, Jira, Agile Metrics, Data Integration, KPI Definition, Executive Dashboards, Data Quality, Forecasting, Capacity Planning, Python, Cost Modeling, AI Metrics, JQL

Industry

Semiconductor Manufacturing

Description

About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact The MBE AI Strategy & Enablement team drives engineering productivity and operational excellence across Marvell’s Software & Firmware Division. We also define and track the metrics that matter - from developer efficiency to lifecycle impact - providing leadership with the insights needed to make high-confidence decisions at scale. Our work touches every major engineering function, giving you a front-row seat to how data shapes strategy across a global organization. What You Can Expect 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). Build and maintain AI initiative dashboards (PoC → pilot → production) including adoption, usage, cost, latency, quality, and guardrail/incident signals. Define and standardize KPI definitions across teams; ensure consistency in how metrics are calculated and reported. Integrate data from Jira and other internal systems (e.g., planning tools, internal data platforms, engineering systems) into reliable BI datasets. Identify trends/anomalies and provide concise executive readouts with recommended actions. Improve data quality (validation checks, reconciliations, source-of-truth alignment) and reduce manual reporting. Maintain lightweight documentation for dashboards (data sources, logic, definitions, ownership). What We're Looking For Required Qualifications 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. Experience integrating multiple data sources (BI + “system of record” tools) and working with data owners/IT. Ability to define KPIs and communicate insights clearly to senior leadership and non-technical stakeholders. Familiarity with product/AI metrics (adoption, cost, performance, quality) and how to operationalize them in reporting. Preferred Qualifications 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. Exposure to AI/LLM telemetry/observability signals (usage, latency, cost, quality/evals) and integrating them into dashboards. Experience building metric definitions/scorecards used across multiple teams (governance + adoption). Expected Base Pay Range (USD) 111,070 - 166,400, $ per annum The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions. Additional Compensation and Benefit Elements Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an 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, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com. Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment. #LI-AP1 Join our talent community to hear about company news, job openings and events. Join our Talent Community! Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Recruitment fraud is a well-known way that third parties try to get personal information or to steal money from you. Please review Marvell’s guidance here to learn more on how you can protect yourself.

Responsibilities

The role involves building and maintaining executive and team-level dashboards using tools like Power BI and Jira to track engineering productivity, sprint delivery, capacity, and AI initiative progress. This includes defining and standardizing KPIs, integrating data from various systems, identifying trends, and providing concise executive readouts with recommended actions.