
51 - 200 employees
Founded 2020
đź Consulting
⥠Energy
đ¤ Artificial Intelligence
Consulting ⢠Energy ⢠Artificial Intelligence
Capital Project Intelligence is a B2B engineering and data consultancy focused on utility and infrastructure clients. The firm delivers AI-enabled electrical engineering, automation, data engineering, QA/QC, knowledge management, information system design, document controls, and PMO services to lower costs, reduce risk, and accelerate project delivery. They combine industry experience, automation, and change-management best practices to ensure organizational buy-in across the project lifecycle.
đ August 4
đ California â Remote
đľ $70k - $110k / year
â° Full Time
đĄ Mid-level
đ Senior
đ Data Analyst
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51 - 200 employees
Founded 2020
đź Consulting
⥠Energy
đ¤ Artificial Intelligence
Consulting ⢠Energy ⢠Artificial Intelligence
Capital Project Intelligence is a B2B engineering and data consultancy focused on utility and infrastructure clients. The firm delivers AI-enabled electrical engineering, automation, data engineering, QA/QC, knowledge management, information system design, document controls, and PMO services to lower costs, reduce risk, and accelerate project delivery. They combine industry experience, automation, and change-management best practices to ensure organizational buy-in across the project lifecycle.
⢠Support day-to-day analytics operations, including data extraction, cleansing, validation, transformation, and report generation ⢠Create dashboards, reports, and data visualizations with guidance from senior analysts or technical leads ⢠Support development of AI-enabled tools, prototypes, automations, and data applications ⢠Translate business needs into reporting, analytics, automation, or application support tasks ⢠Communicate results, insights, assumptions, risks, and limitations clearly ⢠Complete assigned tasks, deliverables, documentation, and follow-ups on time ⢠Visualize data for business stakeholders using Power BI, reporting tools, dashboards, and other visualization methods ⢠Execute ETL processes to assess, clean, transform, and load datasets ⢠Perform data analysis and compile technical reports, summaries, findings, and documentation ⢠Assist with Python scripts, automation workflows, data preparation, and reusable technical components ⢠Support API-based, AI-assisted, and application-related workflows ⢠Document data flows, report logic, process steps, assumptions, validation checks, prompts, and technical decisions ⢠Collaborate across teams to provide actionable insights and technical support ⢠Identify process improvement opportunities and contribute to analytics, reporting, automation, and AI-enabled delivery enhancements ⢠Support data integrity, security, quality, and documentation throughout analytics and application development work
⢠Bachelor's degree in Business, Computer Science, Engineering, Data Analytics, Information Systems, Marketing, or related field, or equivalent experience ⢠3+ years of experience in data analysis, business intelligence, analytics, information systems, automation, or related technical field ⢠Ability to independently write and execute SQL queries across multiple tables ⢠Experience designing, building, or maintaining Power BI reports, dashboards, data models, or similar reporting solutions ⢠Proficiency with Power BI, SQL, and Python ⢠Skill in data cleaning, validation, transformation, and quality review ⢠Practical familiarity with AI-enabled tools, automation, generative AI workflows, prompt-based tools, or AI-assisted application development ⢠Ability to work with structured and semi-structured data from databases, spreadsheets, files, APIs, or business systems ⢠Focus on documentation, version control, automation, and repeatable processes ⢠Ability to explain technical information, data findings, limitations, and recommendations clearly ⢠Experience collaborating across teams and following through on assigned work ⢠Strong planning, documentation, organization, and process-tracking skills ⢠Strong analytical thinking, problem-solving ability, attention to detail, and continuous improvement mindset ⢠Ability to take ownership of smaller-scope tasks or workstreams while seeking guidance appropriately ⢠Experience with APIs, Python-based automation, lightweight application development, or AI-enabled prototypes preferred ⢠Experience with AWS, Azure, or other cloud platforms preferred ⢠Experience with HTML, JavaScript, AngularJS, jQuery, or similar front-end technologies preferred ⢠Experience with prompt workflows, retrieval-augmented generation, embeddings, structured outputs, agents, or evaluation workflows preferred ⢠Energy utility domain knowledge preferred but not required ⢠Microsoft Certified Data Analyst Associate, AWS Cloud Practitioner, or similar certification preferred
⢠Work from home, fully remote ⢠2 weeks paid time off ⢠Home equipment allowance, including monitors, stand-up desk, and related equipment ⢠Annual education allowance ⢠401(k) with company matching ⢠Medical, Dental, Vision, and Life insurance
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