Compensated Data Analytics Intern: Visualize & Influence

Union Home Mortgage Corp.

Strongsville (OH)

On-site

USD 9,919,000 - 13,225,000

Full time

4 days ago
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Benefits offered by this job

Paid internship

Job summary

Union Home Mortgage Corp. invites applicants to join its L.E.A.D Internship Program in Strongsville, Ohio, for a 3-month summer experience designed to expose students to real-world analytics and corporate culture.

Interns will be treated like Partners, work 40 hours per week, and receive compensation while learning from senior leadership and peers. Ideal candidates are pursuing a 2- or 4-year degree in data analytics, economics, or advanced mathematics, with strong SQL and spreadsheet skills,

Qualifications

  • Strong analytical skills.
  • Familiarity with at least one relational database (SQL experience preferred).
  • Familiarity with at least one spreadsheet application.
  • Detail oriented with the ability to multitask.
  • Self-motivated individual with excellent written and verbal communication skills.
  • Willingness to work both independently and in a team-oriented environment.

Responsibilities

  • Perform needed analyses under department leadership.
  • Extract, manipulate and visualize data across different platforms.
  • Collaborate with Business Partners within and outside of the department to drive analysis forward.
  • Present findings and recommendations to different audiences to inform stakeholders for decisions.
  • Other tasks as assigned by your supervisor.

Skills

SQL experience
Spreadsheet
Strong analytical skills
Communication skills
Teamwork

Education

Pursuing 2-year or 4-year degree in Data Analytics, Economics or Advanced Mathematics
Sophomore/Junior/Senior standing

Job description

Union Home Mortgage Corp. invites applicants to join its L.E.A.D Internship Program in Strongsville, Ohio, for a 3-month summer experience designed to expose students to real-world analytics and corporate culture.

Interns will be treated like Partners, work 40 hours per week, and receive compensation while learning from senior leadership and peers. Ideal candidates are pursuing a 2- or 4-year degree in data analytics, economics, or advanced mathematics, with strong SQL and spreadsheet skills,

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