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Part Time Energy Data Analyst Jobs (NOW HIRING)

The Pennsylvania State University

The Analyst would be responsible for supporting methods development and data analysis for a variety of projects, and may have opportunities to contribute to the implementation of an effective ...

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst, Mid

Tampa, FL · On-site

$141K/yr

As a data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Futran Tech Solutions Pvt. Ltd.

Sr. Data Analyst

$88K - $111K/yr

We are requesting a part-time (50%) Sr Data Analyst contractor from the US, who can be available as early as 730 PT to work with our offshore IST team and support multiple projects. The location ...

Lancesoft

Business Data Analyst

Plano, TX · On-site

$40 - $42/hr

... or in a part-time data-focused position is a plus. • Proven record of delivering actionable ... data analysis tools and programming languages such as Python or R is highly desirable. • ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/yr

Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Brown University

Lead Data Analyst

Hall, NY · Hybrid

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

Booz Allen Hamilton, Inc.

Cyber Data Analyst

Chantilly, VA · On-site

$62K - $141K/yr

Share Cyber Data Analyst The Opportunity: As a cyber data analyst, you love diving into data and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Brown University

Lead Data Analyst

Providence, RI · On-site

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

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All JobsPart Time Energy Data Analyst Jobs

Part Time Energy Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do part time energy data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for part time energy data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Energy Data Analyst, and why are they important?

To thrive as a Part Time Energy Data Analyst, you typically need strong analytical skills, proficiency in statistics, and a background in energy or environmental studies, often supported by a relevant degree. Familiarity with data analysis tools like Excel, SQL, and specialized energy management software, as well as experience with visualization platforms such as Tableau or Power BI, is important. Attention to detail, effective communication, and problem-solving abilities help analysts interpret complex data and present actionable insights to stakeholders. These skills and qualities are essential for accurately monitoring energy usage, identifying trends, and supporting data-driven decisions that improve efficiency and sustainability.

How does a Part Time Energy Data Analyst typically collaborate with other departments within an organization?

As a Part Time Energy Data Analyst, you'll often work closely with departments such as operations, engineering, and sustainability teams. Your primary collaboration involves gathering data from various internal systems, providing actionable insights, and supporting energy efficiency initiatives. Effective communication is essential, as you'll frequently translate complex data findings into clear recommendations for non-technical stakeholders. This cross-functional teamwork helps ensure that your analyses drive both operational improvements and strategic decision-making.

What is the difference between Part Time Energy Data Analyst vs Part Time Renewable Energy Analyst?

AspectPart Time Energy Data AnalystPart Time Renewable Energy Analyst
Required CredentialsBachelor's in Energy, Data Science, or related field; familiarity with energy data toolsBachelor's in Environmental Science, Renewable Energy, or related; knowledge of renewable energy technologies
Work EnvironmentEnergy companies, consulting firms, or government agenciesRenewable energy firms, environmental organizations, or government programs
Employer & Industry UsageCommonly employed in traditional energy sectors like oil, gas, and utilitiesPrimarily found in renewable sectors like solar, wind, and sustainable energy projects

The main difference between a Part Time Energy Data Analyst and a Part Time Renewable Energy Analyst lies in their focus areas. The Energy Data Analyst concentrates on traditional energy data, while the Renewable Energy Analyst specializes in sustainable energy sources. Both roles require similar analytical skills and data management expertise but serve different industry segments.

What does a Part Time Energy Data Analyst do?

A Part Time Energy Data Analyst is responsible for collecting, processing, and analyzing energy usage data to help organizations monitor and reduce their energy consumption. They work with data from various sources such as utility bills, smart meters, and energy management systems, identifying trends and anomalies. Their insights help organizations make informed decisions about energy efficiency, cost savings, and sustainability initiatives, all while working on a flexible or reduced-hour schedule.
More about Part Time Energy Data Analyst jobs
What cities are hiring for Part Time Energy Data Analyst jobs? Cities with the most Part Time Energy Data Analyst job openings:
What are the most commonly searched types of Energy Data Analyst jobs? The most popular types of Energy Data Analyst jobs are:
What job categories do people searching Part Time Energy Data Analyst jobs look for? The top searched job categories for Part Time Energy Data Analyst jobs are:
Part Time Energy Data Analyst jobs near you
Infographic showing various Part Time Energy Data Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst (Part-Time Contractor)

Data Analyst (Part-Time Contractor)

Stable Kernel

Atlanta, GA • On-site

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

About the Company:
Stable Kernel is a technology services firm and custom software developer building scalable software solutions for cutting-edge, innovative enterprises to move their business forward. We are headquartered in Atlanta, GA.
We're a privately held, Great Place to Work Certified Company™ with multi-awards for our amazing culture. Plus we have an impressive 10+ year trajectory of sustainable growth. At Stable Kernel, we support our colleagues in ways that help them do some of the best work of their lives.
About the Role:
As a Data Analyst at Stable Kernel you will play a key role in converting data into insights that inform client and internal product roadmaps. Working with cross-functional teams, you will independently design dashboards, build reporting queries, and translate high-level questions into measurable metrics. Your blend of analytical, communication and problem-solving skills will help clients evaluate how their products operate and identify opportunities for improvement.
Data Analysts report directly to our Principal Data Strategist.
Core Responsibilities Include:
  • Technical Impact:
    • Designing and building dashboards and reports that align with business objectives, using advanced features of business intelligence tools (e.g., complex SQL, calculated fields and advanced charting).
    • Defining success metrics and measurement plans for new products and features
    • Tracking design and data requirements, suggesting scalable and reusable solutions.
    • Monitoring dashboard and data health, investigating anomalies and resolving data quality issues.
    • Contributing to documentation updates and maintaining data dictionaries to ensure shared understanding across projects.
    • Improving the efficiency or usability of existing reports and solutions by creating reusable queries or components and training junior analysts on tool basics.
    • Collaborating with product and engineering to understand technical dependencies and translate business questions into data solutions, sharing insights during cross-functional meetings.
  • Business Alignment:
    • Translating high-level client or project goals into data questions and metrics; validate that analyses align with these objectives and advise on measurement priorities.
    • Providing actionable insights that inform decisions and connect analysis outcomes clearly to business KPIs, suggesting optimizations based on trends or findings.
    • Breaking down analysis tasks, provide accurate estimates, and communicate expected effort and trade-offs while factoring in data complexities.
    • Building a strong understanding of the client domain and user journeys, incorporating domain nuances into analyses and understanding dependencies with engineering, product and marketing processes.
    • Supporting development of reusable dashboards, frameworks and templates, contribute to internal best practices and documentation, and share learnings across projects.
  • Consulting:
    • Coordinating closely with cross-functional teams to understand dependencies and identify data needs or risks early.
    • Building trust through reliable delivery and begin advising on analysis prioritization based on business impact.
    • Supporting roadmap discussions with data-backed insights, help triage competing requests and propose small enhancements where data can add value.
    • Suggesting improvements to existing metrics or frameworks and contribute to proposal or workshop preparation.
  • Interacting with Others:
    • Coordinating analytics tasks within cross-functional pods, clarifying dependencies with product, design and engineering teams.
    • Supporting project planning and sprint alignment by providing clear, structured updates in stand-ups and reviews.
    • Sharing insights that inform product or marketing decisions, recommending reporting improvements or new analyses and advising on best practices for metrics interpretation.
    • Supporting teammates by providing tool and process guidance, proactively communicating risks and mitigation plans, and documenting progress in shared tools.
  • Problem-Solving:
    • Solving moderately complex analysis challenges independently by proposing hypotheses, validating with data and recommending actionable insights.
    • Defining scope when details are unclear, suggest initial approaches to move work forward and clarify assumptions in analysis.
    • Identifying data or analysis risks and propose mitigation steps, communicating risks clearly to project teams and escalating blockers or risks appropriately with context.
    • Documenting troubleshooting steps before escalation.
  • Leadership:
    • Identifying inefficiencies in workflows within the team and suggest and implement process improvements.
    • Promoting data quality and consistency by encouraging adherence to standard metrics and definitions and providing guidance to junior analysts on tools and approaches.
    • Sharing knowledge in informal trainings or code reviews and lead small analytics projects or pods, coordinating task execution and dependencies to ensure alignment on goals.

Intimate, Working Familiarity With:
  • Familiarity with data warehouses, product analysis, statistical analysis tools and experience with large data sets and has managed their reliability and consistency.
  • Experience with CRM tools such as MoEngage.
  • Experience with data activation tools such as Hightouch. .
  • Experience using SQL and Python.
  • Experience with observability and data visualization tools such as Grafana ,DataDog, Tableau, Looker or PowerBI.
  • Experience using analytics related tools such as Databricks or Amplitude.
  • Familiarity with Microsoft Office Suite.

General Requirements:
  • 3-5 years of experience as a data analyst.
  • Experience working in a consulting or professional services organization.
  • A bachelor's degree in data science, a quantitative/analytical field, or similar.

Nice-to-haves:
  • Ability to create ER diagrams.
  • Ability to effectively test APIs using standard tools such as Postman and curl.
  • Experience using agile work management tools such as Jira.

A Bit More Info:
This is a part-time contract position (20 hours).
Stable Kernel operates a People Before Place Hybrid model, allowing most employees to choose where they can do their best work most days.
Travel may be associated with this role as it requires you to maintain an in-office presence in a hybrid capacity for regular in-person engagements for both clients and internal teams.
*Note - We are not sponsoring employment visas at this time. If you are currently in possession of an employment visa, it will need to be effective for at least 3 years from the date of your application for your candidacy for employment to be considered.
Stable Kernel's culture is inclusive and expansive. We celebrate diversity in its many glorious forms and do not discriminate on the basis of race, religion, color, national origin, gender role orientation, sexual orientation, age, marital status, veteran status, or disability status.
However, we will discriminate against those unwilling to comply with the practice of our company values:
  • we work with integrity always
  • we respect our work and each other
  • we are dedicated to life-long learning and sharing
  • we stay hungry for new challenges

If you are like-minded in this regard, we hope you will apply. We look forward to meeting you.

Apply