Data Analyst II

🕒 August 4

🏄 California – Remote

🏄 California – Remote

💵 $70k - $110k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capital Project Intelligence

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

💼 Consulting

⚡ Energy

🤖 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.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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