Intern - Data Analytics and Automation, Finance

Itron • Liberty Lake, WA

6d • Hybrid

About The Position

This internship provides students with hands-on experience supporting Finance and Accounting modernization, process automation, advanced analytics, and AI-enabled solutions within a global multinational enterprise. The intern will apply data and technology to real-world business challenges, collaborating with analytics and engineering professionals and Finance and Accounting stakeholders. The internship is 40 hours per week during summer 2027, with a target start in May or June and an end in August or September depending on the student’s academic schedule. The position is tied to Itron’s Liberty Lake, Washington location and offers hybrid flexibility, with two days per week onsite. Travel is 0–10%.

Requirements

• Be enrolled in an accredited degree program related to Computer Science, Data Analytics, Data Science, Information Systems, Management Information Systems, Accounting, Finance, or a related field.
• Have experience with statistical analysis.
• Have exposure to machine learning, predictive modeling, or related analytical concepts.
• Demonstrate strong analytical and problem-solving skills.
• Have professional workplace communication skills.

Nice To Haves

• Experience using Python or R for data analysis through coursework, projects, or other applications.
• Familiarity with SQL.
• Experience or exposure to large-scale data and analytics platforms such as Microsoft Fabric, Databricks, or AWS.
• Experience with data visualization tools such as Microsoft Power BI, Tableau, or similar platforms.
• Familiarity with machine learning models used for forecasting or predictive analytics.
• Prior related internship, academic project, capstone, research, or work experience.

Responsibilities

• Extract, ingest, and analyze data from enterprise systems such as Oracle EBS, Oracle EPM, Salesforce, and other business data sources.
• Support data transformation and normalization for analytics platforms, reporting, and business applications.
• Develop data models, analyses, and visualizations to support Finance and Accounting business needs.
• Build and enhance data visualizations based on business requirements using Microsoft Power BI or comparable tools.
• Identify opportunities to automate repeatable Finance and Accounting processes, including potential uses of AI-enabled tools and agents.
• Support predictive analytics and machine learning initiatives related to revenue, expenses, and business forecasting.
• Collaborate with data scientists, analytics professionals, software engineers, and Finance and Accounting stakeholders to develop data-driven solutions.
• Contribute to projects improving sales opportunity and pipeline forecasting for long-term business planning.
• Deliver an internship summary presentation highlighting project outcomes, insights, and recommendations.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed