Data Analyst
San Jose, California, United States
Full Time Mid-level / Intermediate USD 70K - 119K
Supermicro
The premier provider of advanced Server Building Block Solutions® for 5G/Edge, Data Center, Cloud, Enterprise, Big Data, HPC and Embedded markets worldwide.Job Req ID: 25800
About Supermicro:
Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.
Job Summary:
Supermicro is seeking a talented Solution Engineer with great attention to detail and strong problem-solving ability to join our software team. You will be responsible for examining all aspects of the Software/Firmware/products/applications/solutions and provide detailed analysis. If you are forward thinking engineer that can bring software quality improvement ideas and new strategies to lead the company forward, we would love to talk to you.
Essential Duties and Responsibilities:
- Operational Deep Dives: Tackle complex business questions where the data and insights lie across several organizations. Use data to crystalize insights and present them to senior leadership . The type of questions the person would tackle are “What type of customers do well with [Business Name] in the long term?”, “Why did [KPIs] drop by X% in a month? Is this a one off or part of a long term trend”. “What are key drivers of growth in the customer base”.
- KPI Development, Reporting and Analysis: Own the reporting and analysis of Supermicro KPI metrics. At times this may involve detecting issues in the metric and triaging them with Solution Engineering and suggest & lead development of new KPIs in support of business health.
- Operational Reporting: Work with various teams (People Ops, FinOps) to lead the development and maintenance of comprehensive operational dashboards across the company. Present operational reports to leaders on a regular basis.
- Data Asset Development: Spearhead projects to build new data assets and capabilities (e.g., cohort tooling, anomaly detection).
- Champion Data Quality Checks across the reporting layer
Qualifications:
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering); Master's degree preferred.
- 2+ years of experience in data analytics, business intelligence, or a related field.
- Strong proficiency in SQL
- Familiarity with statistical concepts, including model evaluation metrics, forecasting methodologies, and confidence intervals.
- Experience with data visualization tools and techniques. Looker preferred
- Excellent problem-solving and analytical skills.
- Outstanding communication and presentation abilities, particularly for senior audiences.
- Proven track record of managing complex, cross-functional projects.
Salary Range
$70,000 - $119,000
The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.
EEO Statement
Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.
Tags: Big Data Business Intelligence Computer Science Data Analytics Data quality Data visualization Engineering Hadoop HPC KPIs Looker Mathematics SQL Statistics
Perks/benefits: Equity / stock options Health care Salary bonus
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