Entry Level Analytics Engineer Jobs
New grad analytics engineer jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can matter more than a long resume. Most openings are on-site, remote, and hybrid roles across Energy, Technology & Software, and Insurance, with employers like Seatgeek, Avetta, and Rad AI hiring at this level now.
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Job Posting End Date
11-21-2026Please note the job posting will close on the day before the posting end date.
Job Summary
Responsible to the assigned supervisor for performing entry level engineering work activities and projects requiring the application of engineering knowledge in a safe, effective, efficient and economic accomplishment of assigned objectives.Job Description
What You’ll Do:
This position is for the role of a Tools & Analytics Engineer within the Transmission System Operations Engineering (TSOE) organization. The role entails supporting and enhancing the tools, applications, data systems, analytics, and automation processes used to manage Transmission Facility Ratings, Configuration Management, transmission modeling, and regulatory compliance activities across the transmission system.
Expected activities include, but are not limited to:
- Providing technical support for TSOE-owned applications, databases, reports, dashboards, and automation solutions used by Transmission Engineering, Operations, Ratings & Configuration, and Configuration Management organizations.
- Developing, maintaining, and enhancing software applications, scripts, APIs, reports, and integrations used to support transmission modeling, facility ratings, engineering workflows, and business processes.
- Creating and supporting SQL, Oracle, and other database queries to analyze engineering, operational, and compliance-related data and provide actionable information to engineering and leadership teams.
- Designing, developing, and maintaining Power BI dashboards, performance metrics, and reporting solutions that improve visibility into Transmission operations, Configuration Management activities, FAC-008 compliance, and engineering performance.
- Supporting Transmission Planning System (TPS), ODMS, facility ratings processes, and related transmission modeling tools by validating data quality, identifying discrepancies, and coordinating corrective actions.
- Reviewing outage requests, asset changes, engineering records, and system data to identify potential impacts to transmission models, facility ratings, and systems of record.
- Performing root cause analysis of data quality issues, model discrepancies, reporting inaccuracies, and process failures to identify improvement opportunities and enhance data integrity.
- Collaborating with engineering, operations, IT, vendors, and external stakeholders to define requirements, implement enhancements, and support modernization of TSOE applications and data systems.
- Providing subject matter expertise related to transmission system modeling, facility ratings, MLSEs, electrical asset data, Configuration Management, and applicable NERC and industry standards.
- Identifying and implementing opportunities to automate manual processes, improve engineering efficiency, reduce compliance risk, and increase the accuracy and accessibility of transmission system data.
What we’re looking for:
This is an engineer role which requires an engineer degree and experience.
Note: This position is posted at multiple grade levels and offers a range of opportunities for advancement. The minimum qualifications outlined below apply to the Associate level, with increased educational, skill or experience requirements for higher level roles.
Engineer Associate SG6
Education/Experience
- This is an entry level position for new graduates with a Bachelor's degree in engineering in a program accredited by ABET*;
- Passing the Fundamentals of Engineering examination in preparation for future licensing as a Professional Engineer (PE) is encouraged and preferred.
Engineer SG7
Education/Experience
- Has typically acquired a Bachelor's degree in engineering in a program accredited by ABET* along with two or more years of related engineering experience.
- Individuals with a Master's degree in engineering from an engineering program accredited by ABET* may be considered for entry into the organization at this level.
- Individuals with a Bachelor’s degree in Engineering Technology can satisfy this degree requirement, if they obtain a certified Professional Engineering (PE) license.
- ABET - Engineering Accreditation Commission of the Accreditation Board for Engineering and Technology.
Acceptable alternative:
- Bachelor's degree in engineering (non-ABET) plus a Master's degree or PhD in engineering from a university with an ABET accredited Bachelor's program.
- **VP or above may waive the requirement for a degree from a university with an Non ABET accredited program
In addition:
- Electrical engineer is preferred.
- Transmission system modeling (TPS, ODMS, PSSE, bus/branch concepts)
- Facility Ratings and FAC-008 knowledge
- NERC compliance understanding
- SQL and Oracle database experience
- Power BI development
- Python, .NET, PowerShell, or other programming experience
- API and system integration experience
- Data analytics and business intelligence
- Understanding of transmission assets, stations, transmission lines, relays, and ratings methodology
This role requires schedule flexibility. Candidates should expect to work outside of standard business hours, including nights, weekends, and holidays. The ability to work non-traditional hours and adapt to changing schedules is essential for success in this position.
In addition to competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.
Where Putting the Customer First Powers Everything We Do
At AEP, we’re more than just an energy company — we’re a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!
American Electric Power (On-Site)
#LI-Onsite
#AEPCareers
#Engineer
#earlycareer
Compensation Data
Compensation Grade:
SP20-006Compensation Range:
$74,551.00 - $109,543.00The Physical Demand Level for this job is: S – Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.
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It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.See All 9 Entry Level Analytics Engineer Jobs
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Top Industries Hiring
- Energy
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Entry Level Analytics Engineer Jobs: Frequently Asked Questions
How do I get an entry level analytics engineer job?
Employers hiring at the entry level look for hands-on fluency with SQL, a modern data warehouse like Snowflake or BigQuery, and at least one data transformation tool such as dbt. A portfolio with a documented end-to-end pipeline project demonstrates practical ability when your work history is limited. Internship experience, a capstone project, or a public GitHub repository all give hiring managers something concrete to evaluate.
Which companies hire entry level analytics engineers?
Companies hiring entry level analytics engineers right now include Seatgeek, Avetta, and Rad AI, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including high-growth startups building their first data stack and established enterprises expanding analytics teams with junior talent.
Are there remote entry level analytics engineer jobs?
Yes, though the share varies by industry and team size. About 63% of entry level analytics engineer openings are remote or hybrid as of November 2026, making this one of the more flexible technical roles for candidates who are not located near a major tech hub. Hybrid roles are common at larger companies, while fully remote positions appear more frequently at distributed-first organizations.
Are these new grad analytics engineer jobs?
Yes, the listings on this page include new grad, recent graduate, and junior analytics engineer roles. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internship work or academic projects as qualifying experience, or specifically invites candidates with a portfolio in place of a long work history. If you are searching as a new grad, look for those signals in the job description.
Which industries hire the most entry level analytics engineers?
Entry Level analytics engineer roles concentrate in Energy, Technology & Software, and Insurance, based on current listings on Migrate Mate as of November 2026. These sectors generate large volumes of structured data and rely on analytics engineering to keep pipelines clean and reporting consistent, which creates steady demand for junior candidates who can contribute quickly.