DescriptionPosting Title: Sr Data Analyst
Reports To: Sr. Manager, Data Analytics
Location: San Jose, CA Remote
Salary Range: $82,250 to $153,000
Final determination of a successful candidate's starting pay will vary based on a number of factors, including market location and may vary depending on job-related knowledge, skills, education and experience. The pay scale listed for this position is generally for candidates that meet the specified qualifications and requirements listed on this specific job description. We provide a competitive compensation package that recognizes your experience, credentials, and education alongside a robust benefits program to meet your needs. Our compensation reflects the cost of labor across several US geographic markets.
ABOUT THE ROLEThe Senior BI Analyst / Developer at Cupertino Electric plays a critical role in transforming complex business and technical data into actionable insights that drive operational efficiency and inform strategic decision-making. This senior-level position combines deep technical expertise with strong business acumen to deliver advanced analytics and reporting across an integrated technology ecosystem.
The role is responsible for leading analytics initiatives and establishing best practices for data analysis and reporting. The Senior BI Analyst / Developer partners closely with both technical teams and business leaders to design and deliver scalable, high-impact data solutions, while also mentoring junior analysts and fostering a data-driven culture across the organization.
Data Analysis and Reporting- Lead the development and ownership of Power BI dashboards and reports to provide insights into business operations, project performance and decision making, and financial metrics.
Analytics Leadership- Define KPIs and data standards across business units
- Act as a subject matter expert (SME) for enterprise data domains
- Frame ambiguous business problems into structured analytical approaches
- Deliver compelling data storytelling tailored to executive audiences
Technical Implementation- Establish and maintain documentation standards
- Design and optimize semantic models in Power BI
- Contribute to architecture decisions for analytics and reporting platforms
- Partner with Data Engineering to define, validate, and evolve data models and pipelines to support analytics scalability
Business Partnership- Drive adoption of data solutions across business units
- Serve as a trusted advisor to senior leadership on data-driven decisions
ABOUT YOU- Excellent verbal and written communication skills with the ability to lead discovery with executive stakeholders
- Strong SQL skills and experience with large-scale databases
- Expert in Power BI, including DAX and Power Query
- Experience with construction management software (Procore, ACC)
- Demonstrated experience leading analytics projects end-to-end
- Experience mentoring junior analysts or leading teams (formal or informal)
- Ability to operate with a high degree of autonomy, making independent decisions on analytical approaches, data design, and reporting strategies.
- Understanding of construction industry reporting requirements
- Solution-focused, logical, and framework-based thinking with the ability to generate support for ideas and plans.
- Demonstrated ability and influence to effectively navigate complex organizational, process, technical and political challenges.
- Strong influencing and interpersonal skills
- Knowledge, skills, and ability to translate complex business requirements into IT solutions.
Technical Qualifications:- Data Platform Knowledge
- Advanced SQL querying and optimization
- Understanding of data warehouse concepts and dimensional modeling
- Knowledge of ETL processes and data pipeline development
- Knowledge of cloud-based data platforms
- Experience designing scalable semantic models
- Ability to evaluate and recommend new tools/technologies
- Business Intelligence
- Expert-level Power BI development skills
- Experience creating interactive dashboards and reports
- Though leader in data visualization best practices
- Understanding of performance optimization techniques
- DevOps and System Development Life Cycle
- Experience with DevOps practices and tools
- Knowledge of pipelines for report deployment
- Familiarity with version control and knowledge of automated testing
- Analysis Competencies
- Process Improvement & Problem Solving
- Identify opportunities and design solutions that drive measurable process improvements
- Lead root cause analysis to diagnose and resolve business and operational issues
- Quality Analysis
- Expertise in data quality management, including validation frameworks, monitoring, and continuous improvement practices
- Strong understanding of testing, observability, and data reliability principles in modern analytics environments
- Mentorship & Team Contribution
- Mentor and provide technical guidance to junior analysts
- Review and improve code, dashboards, and analytical approaches
- Contribute to team standards, documentation, and knowledge sharing
Preferred Qualifications:- Experience in the construction or engineering industry
- Knowledge of construction project management processes
- Certifications in relevant technologies
- Experience with Agile and DevOps methodologies
- Proven experience leading analytics initiatives in large, complex environments
MINIMUM QUALIFICATIONSAny combination of education and experience that would likely provide the required knowledge, skills and abilities as well as possession of any required licenses or certifications is qualifying.
Education and Experience: Typically requires 5-8+ years of related experience with a Bachelor's degree; or equivalent experience.
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The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department, program or project needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
