Intern - Data Analytics and Automation, Finance

Duration

40 hours per week during summer 2027. The target start is May/June, and the internship concludes August/September, depending on the student's academic schedule.

Job Duties & 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 use in 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 visualization tools.
• Identify opportunities to automate repeatable Finance and Accounting processes, including potential applications of AI-enabled tools and agents.
• Support predictive analytics and machine learning initiatives related to revenue, expense, and business forecasting.
• Collaborate with data scientists, analytics professionals, software engineers, and Finance and Accounting stakeholders to develop data-driven solutions.
• Contribute to projects focused on improving sales opportunity and pipeline forecasting to support long-term business planning.
• Deliver an internship summary presentation highlighting project outcomes, insights, and recommendations.

Required Skills & Experience

• Education: enrolled in an accredited and related degree program such as Computer Science, Data Analytics, Data Science, Information Systems, Management Information Systems, Accounting, Finance, or a related field.
• Experience with statistical analysis through
• Exposure to machine learning, predictive modeling, or related analytical concepts.
• Strong analytical and problem-solving skills.
• Professional workplace communication skills.

Preferred Skills & Experience

• Experience using Python or R for data analysis, 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.

Travel: 0 - 10%

Physical Demands

• This is a typical office job, with no special physical requirements or unusual work environment.
• This position will be tied to our Liberty Lake, WA location with hybrid work flexibility of 2 days on-site per week.
• Liberty Lake, WA: $15.87 - $44.23 per hour
• #LI-JH1

• Itron is committed to building an inclusive and diverse workforce and providing an authentic workplace experience for all employees.
• If you are excited about this role but your past experiences don't perfectly align with every requirement, we encourage you to apply anyway.
• In the end, you may be just who we are looking for!

Pay and benefits

The successful candidate's starting wage will be determined based on permissible, non-discriminatory factors such as skills and experience.

Itron is transforming how the world manages energy, water and city services. Our trusted intelligent infrastructure solutions help utilities and cities improve efficiency, build resilience and deliver safe, reliable and affordable service. With edge intelligence, we connect people, data insights and devices so communities can better manage the essential resources they rely on to live. Join us as we create a more resourceful world: