Data & Analytics Intern (Year‑Round) – Onsite Sacramento

Sacramento Municipal Utility District

Sacramento (CA)

On-site

USD 34,000 - 41,000

Part time

5 days ago
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Job summary

Sacramento Municipal Utility District (SMUD) is seeking a Data & Analytics Intern for year-round placement in Sacramento, CA. The role will support enterprise analytics, dashboards, and data integration with systems like Databricks and SAP, with onsite work once a week (more days optional from January).

As a STEM student, you will perform research and analysis across projects, gain hands-on experience in Python, SQL, and data modeling, and contribute to reports and data pipelines under

Qualifications

  • Registration as a full-time student (minimum of 12 units) at an accredited college or university in a STEM emphasis.
  • Proficiency in Python programming and working knowledge of SQL.
  • Familiarity with Databricks, SAP analytics environments, data warehousing concepts, or performance tuning is a plus.

Responsibilities

  • Performs analytical or research tasks for projects calling for STEM skills.
  • Locates sources of information; collects and organizes data.
  • Makes computations and analyzes data for confidence and alternatives.
  • May develop computer programs relating to assignments.
  • May develop written, graphical and/or oral reports.
  • May assist staff analysts under supervision.

Skills

Python programming
SQL
Data Modeling
Reporting Design
Agile teamwork

Education

STEM student enrollment

Tools

Databricks
SAP analytics
Power BI
JIRA
Confluence
ETL/ELT
SAP BW

Job description

Sacramento Municipal Utility District (SMUD) is seeking a Data & Analytics Intern for year-round placement in Sacramento, CA. The role will support enterprise analytics, dashboards, and data integration with systems like Databricks and SAP, with onsite work once a week (more days optional from January).

As a STEM student, you will perform research and analysis across projects, gain hands-on experience in Python, SQL, and data modeling, and contribute to reports and data pipelines under

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