Data Analyst Intern (Summer 2026)

Okta•San Francisco, CA

2h•Hybrid

About The Position

We are looking for a Data Analyst who has a passion for storytelling with data. You will be successful if you are detail-oriented, like solving big problems, understand technical systems, and can effectively communicate with team members and business partners. In this role, you will be key in creating the foundation for data-based decision-making across Okta's functional business teams and will work with internal customers to identify ways to effectively leverage data using cutting edge cloud and big data technologies to drive business insights.

Requirements

BS in CS, MIS, related technical degree and graduating in December 2026 or Spring 2027.
Interest in pursuing a career as a Data Analyst/Data Engineer/BI Developer
Hands-on SQL experience
Excellent communication skills, both written and verbal
Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools
Ability to work cross-functionally and communicate with technical and non-technical teams
Excellent time management and prioritization skills

Nice To Haves

Experience with ETL processes, software development, and lifecycle awareness, using Python, Java, and Snowflake

Responsibilities

Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics and insights solutions
Document in-depth business requirements
Identify trends and key drivers of metrics to unveil insights
Provide support to stakeholders, investigate data issues, and create ad hoc reports and/or dashboards
Answer complex business questions with data through investigation and data forensics
Develop report and dashboard prototypes
Work with the team to define, implement, and test new data sources and transformations
Provide input to Data Engineering on requirements and enhancements to existing data pipelines, data sets, and data platforms
Conduct QA activities for new development and enhancements
Develop expertise in data modeling, transformation, and normalization
Develop expertise in visualization and storytelling with data best practices
Support new tool and technology assessments to improve stakeholder adoption
Proactively identify process improvements, standardize processes, and help ensure new processes become institutionalized