2027 Summer Intern - Operations Analytics

Midcontinent Independent System Operator (MISO)•Carmel, IN

3d•Onsite

About The Position

As an Operations Analytics Intern, you will contribute to the Operations Management Balancing and Interchange’s (OMBI) mission of supporting 24/7 grid operators by building and refining scheduling and workforce analytics. This role helps Control Room leadership stay ahead of scheduling conflicts, turnaround risks, and Regional Transmission Organization (RTO) order violations. You will gain hands-on experience with dashboarding and reporting tools like Power BI and Excel to identify scheduling risks, perform data analysis using SQL and Python to uncover scheduling and workforce trends, and work on real-world projects such as system migrations, scenario-based training design, or scheduling health indicators that feed into MISO’s Monthly Ops Metrics Review. A typical day involves reviewing overnight scheduling data, checking in with the team, pulling data in SQL, updating Power BI views, or participating in working sessions with schedulers to understand and resolve pain points. The role offers a mix of independent analysis and direct interaction with end-users. Impact is measured by the adoption and continued use of built tools and streamlined processes.

Requirements

Strong skills in Microsoft Excel and Power BI
SQL for data analysis
Academic Level: Undergraduate
Degree: Industrial Engineering, Operations Research, or Data Analytics

Nice To Haves

Coursework or experience in data analytics, operations management, engineering fundamentals, or process improvement
Hands-on project experience with dashboards, workflow design, system migration, or scenario-based training
Prior internship experience in operations, analytics, or reliability environments

Responsibilities

Build and refine scheduling and workforce analytics.
Support Control Room leadership in identifying scheduling conflicts, turnaround risks, and RTO order violations.
Utilize dashboarding and reporting tools such as Power BI and Excel to surface scheduling risks.
Perform data analysis using SQL and Python to identify scheduling and workforce trends.
Contribute to real-world projects such as system migrations, scenario-based training design, or scheduling health indicators.
Review overnight scheduling data and collaborate with the team on open questions.
Engage in independent analysis and direct conversation with end-users.
Present findings to Control Room leadership and cross-functional stakeholders.
Gain hands-on experience with data analytics, process improvement, and workflow design.
Contribute scheduling health indicators to MISO’s Monthly Ops Metrics Review.