Data Analytics & BI Intern: Build Dashboards & Insights

ameritasexternal; United States; On-site; USD 28,000 - 41,000; Full time

Job summary

Ameritas Life Insurance Corp is seeking a Data Analytics – Business Intelligence Intern to empower internal stakeholders with data insights and dashboards that support business needs.

The role involves developing reports in Power BI and Cognos, analyzing datasets, and collaborating with cross-functional teams to understand data needs and propose solutions while troubleshooting data issues and documenting processes.

Qualifications

• Must be enrolled in a college program at least half-time for the entire duration of the internship studying computer science, data science, data analytics, or a related field.
• Able to commit to a long-term internship working full-time in the summer and part-time during the school year.
• Ability to demonstrate initiative and a professional, self-directed approach to assigned responsibilities.
• Ability to meet deadlines and strong analytical and problem-solving skills.
• Strong PC and Excel skills; intermediate to advanced SQL is desired.

Responsibilities

• Process and analyze datasets to support business stakeholders.
• Develop and maintain reports and dashboards using BI tools like Power BI and Cognos.
• Collaborate with cross-functional teams to understand data needs and propose solutions.
• Troubleshoot and resolve data issues as they arise.
• Collaborate with Data Engineering and IT to ensure timely reporting tasks.
• Contribute to documentation of processes and procedures.

Skills

SQL

Excel

Data analysis

Power BI

Education

College student in CS/Data Science

Tools

Power BI

Cognos

Job description

Ameritas Life Insurance Corp is seeking a Data Analytics – Business Intelligence Intern to empower internal stakeholders with data insights and dashboards that support business needs.

The role involves developing reports in Power BI and Cognos, analyzing datasets, and collaborating with cross-functional teams to understand data needs and propose solutions while troubleshooting data issues and documenting processes.