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Energy Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Data Engineer

Cary, NC ยท On-site

$116.70K - $140.10K/yr

Our solutions allow financial institutions to focus more of their time and energy on their mission ... Deliver clean, well-structured datasets to support fraud analytics, machine learning models, and ...

Data Engineer

Cary, NC

$106.10K - $127.40K/yr

Our solutions allow financial institutions to focus more of their time and energy on their mission ... Deliver clean, well-structured datasets to support fraud analytics, machine learning models, and ...

Data Engineer

Cary, NC ยท On-site

$106.10K - $127.40K/yr

Our solutions allow financial institutions to focus more of their time and energy on their mission ... Deliver clean, well-structured datasets to support fraud analytics, machine learning models, and ...

Global Contract Management Analyst (m/f/d)

Raleigh, NC ยท Remote

$67.10K - $81.20K/yr

HITACHI ENERGY ITALY S.P.A. Profession (Job Category): Legal, Compliance & Audit Job Schedule ... Own and manage the BU Contract Lifecycle Management (CLM) tool, ensuring high-quality data entry ...

Ability to tell data-driven stories, using information from multiple sources, to provide actionable ... Self-motivated, passionate, and enthusiastic individual ready to bring energy and excitement to ...

Ability to tell data-driven stories, using information from multiple sources, toprovideactionable ... Self-motivated, passionate, and enthusiastic individual ready to bring energy and excitement to ...

The team spans data engineering, analytics engineering, BI, and software engineering, and the edges ... You're faster, sharper, and more prolific because of it, and you bring that energy to everything ...

The team spans data engineering, analytics engineering, BI, and software engineering, and the edges ... You're faster, sharper, and more prolific because of it, and you bring that energy to everything ...

We design and manufacture sensors for storage tanks, water metering, energy metering, gas ... Whether an off-the-shelf or custom solution is needed, we'll create a solution and push the data on ...

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Energy Data Analyst information

See Raleigh, NC salary details

$33K

$80.3K

$132.2K

How much do energy data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for energy data analyst in Raleigh, NC is $80,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What does an Energy Data Analyst do?

An Energy Data Analyst collects, processes, and interprets energy-related data to help organizations optimize energy usage, reduce costs, and improve efficiency. They work with large datasets, using statistical and analytical tools to identify trends, forecast energy consumption, and support decision-making. Their role is crucial in industries such as utilities, renewable energy, and manufacturing, where energy management directly impacts sustainability and profitability. Additionally, they collaborate with engineers, policymakers, and business leaders to implement data-driven energy strategies.

What are the key skills and qualifications needed to thrive in the Energy Data Analyst position, and why are they important?

To thrive as an Energy Data Analyst, you need a strong analytical background in data modeling, statistical analysis, and knowledge of energy markets or systems, typically supported by a degree in engineering, mathematics, data science, or a related field. Proficiency with data visualization tools (e.g., Tableau, Power BI), advanced Excel, SQL, and programming languages like Python or R is highly valuable, and certifications in data analytics or energy management can be advantageous. Effective communication, attention to detail, and problem-solving abilities are essential soft skills for collaborating with cross-functional teams and presenting actionable insights. Mastery of these skills enables analysts to interpret complex energy data accurately, drive data-informed decision-making, and support organizational goals in a rapidly evolving industry.

What are some typical projects or tasks an Energy Data Analyst may work on during a normal week?

As an Energy Data Analyst, you can expect to work on projects such as forecasting energy demand, analyzing consumption patterns, identifying efficiency opportunities, and supporting sustainability initiatives with data-driven insights. Your daily responsibilities may include cleaning and processing large datasets, visualizing key trends, preparing regular reports for stakeholders, and automating data workflows. You will often collaborate closely with engineers, project managers, and business analysts to translate complex data into actionable strategies for operational improvement. This role offers a dynamic environment where analytical findings have a direct impact on business decisions and energy management outcomes.
What are the most commonly searched types of Energy Data Analyst jobs in Raleigh, NC? The most popular types of Energy Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Energy Data Analyst jobs? Cities near Raleigh, NC with the most Energy Data Analyst job openings:
Infographic showing various Energy Data Analyst job openings in Raleigh, NC as of May 2026, with employment types broken down into 19% Internship, and 81% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $80,328 per year, or $38.6 per hour.

$116.70K - $140.10K/yr

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Job description

As passionate about our people as we are about our mission.
Why Join Q2?
Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.
What Makes Q2 Special?
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
Our Team
The Risk & Fraud team at Q2 helps our customers take a proactive stance against fraud while managing the risks inherent to their business. We build and enhance products that evolve with the ever-changing fraud landscape, delivering tangible value to our customers. Our solutions allow financial institutions to focus more of their time and energy on their mission: serving their customers and communities.
The Role
In this role, you will take ownership for building and operating our data architecture to support new and evolving fraud solutions. You'll play a key role in ensuring data is reliable, scalable, and accessible to power models, agents, and UIs directly impacting our customers' ability to detect and prevent fraud.
This is an opportunity to work on production systems with real-world impact while continuing to grow your skills in data engineering, cloud platforms, and distributed systems.
Your Key Responsibilities
  • Design, build, and maintain scalable data pipelines and workflows in a cloud environment
  • Deliver clean, well-structured datasets to support fraud analytics, machine learning models, and agentic solutions
  • Contribute to improving our data architecture, including ingestion, storage, and access patterns
  • Own data operations by monitoring data workflows, triaging failures, and resolving data issues
  • Enhance observability and performance by implementing monitoring and optimizing pipelines for reliability, scalability, and cost efficiency
  • Partner with product managers, data scientists, and engineers to translate fraud and risk requirements into data solutions
  • Write maintainable code; participate in code reviews; and help improve testing, deployment, and documentation standards
Requirements
Must Haves
  • Typically requires a Bachelor's degree in (relevant degree) and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
  • Experience building and maintaining data pipelines and workflows in production environments
  • Proficiency in SQL and working with relational and/or analytical data stores
  • Experience with Python
  • Familiarity with data modeling, transformation, and orchestration concepts
  • Experience with data warehouses and distributed data processing systems
  • Experience with version control (e.g., Git) and CI/CD practices
  • Ability to troubleshoot data issues, debug pipelines, and work through ambiguous problems
Nice to Have
  • Experience with tools such as Apache Airflow, dbt, Kafka, Airbyte, or FiveTran
  • Experience with Snowflake or similar cloud data warehouses
  • Experience with SQL Server, PostgreSQL, or NoSQL systems like DynamoDB
  • Familiarity with infrastructure as code tools (e.g. Terraform)
  • Experience with Docker and/or Kubernetes
  • Exposure to platforms like Databricks, AWS Glue, AWS Sagemaker, Snowpark
RESPONSIBILITIES
โ€ข Production Support: Start the day by reviewing production data pipeline executions, investigating and resolving failures
โ€ข Development: Build and orchestrate data pipelines, defining data flow, transformations, and dataset relationships
โ€ข Observability: Monitor and optimize data pipelines for performance and efficiency
โ€ข Collaboration: Work closely with teams and stakeholders to understand data requirements and ensure platform solutions meet business needs
EXPERIENCE AND KNOWLEDGE
โ€ข Typically requires a Bachelor's degree in (relevant degree) and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience
โ€ข Advanced knowledge of data transformations, data orchestration and pipelines, data replication
โ€ข Working knowledge of SQL and NoSQL databases, data warehouses, distributed file storage and compute platforms
โ€ข Experience with some of the following technologies is a plus:
o Data Movement and Pipelines: Apache Airflow, dbt, Kafka, AirByte
o Data Warehouse: Snowflake
o Databases: SQL Server, Postgres, DynamoDB
o Languages: Python, C#, Golang, Bash, SQL
o CI/CD tools and infrastructure as code: GitLab, Azure DevOps, Terraform, Argo CD
o Containerization: Kubernetes, Docker
o Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker
This position requires fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Health & Wellness
  • Hybrid Work Opportunities
  • Flexible Time Off
  • Career Development & Mentoring Programs
  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
  • Community Volunteering & Company Philanthropy Programs
  • Employee Peer Recognition Programs - "You Earned it"

Click here to find out more about the benefits we offer.
Our Culture & Commitment:
We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.
Applicants in California or Washington State may not be exempt from federal and state overtime requirements