About this opportunity
Spectraforce Technologies lists this Operations Data Analyst opportunity in oakland, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior Operations Data Analyst
6 Months
Oakland, CA, Hybrid (once a month onsite)
Local candidates only
Equipment: Client laptop will be provided. Any other required tools must be provided by the vendor.
Top Things Looking For Strong coding skills - Python, SQL, or similar
Experience developing and maintaining ETL pipelines
Strong communication skills - ability to clearly communicate data findings and recommendations
Role Summary
Provide analytics support for Client's NPA and Zonal Electrification programs, focused on accelerating building electrification, reducing the need for future gas infrastructure investments, and supporting long-term decarbonization goals.
Key Responsibilities ETL Pipeline Development: Develop and maintain ETL data pipelines across multiple core data environments to identify, screen, and prioritize electrification opportunities across Client's system.
New Data Sources: Recommend and integrate new data sources while improving existing data processes and pipeline capabilities.
Process Automation: Create automated data routines and processes for reporting and data delivery, including accurate data manipulation and cleansing.
Dashboards & Ad Hoc Analysis: Develop and communicate clear, concise, and actionable data analyses through dashboards and ad hoc reports.
Education Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
Minimum Experience 4+ years of related work experience
Required / Desired Skills Advanced Python or similar programming languages for data analysis and automation
Advanced SQL and database query languages for data extraction, transformation, and analysis
Advanced experience designing and maintaining ETL processes for large datasets
Experience with data visualization and dashboarding tools
GIS experience preferred
Familiarity with utility operations
Strong ability to analyze, interpret, and communicate data findings effectively
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.