Control Operations BI Specialist

Summary

• Organization: Goldman Sachs
• Job Title: Control Operations BI Specialist
• Location: Salt Lake City, UT

Employment Terms:

• This role is an 8-week internship with the opportunity to transition to full-time employment
• Internship and full-time employment are both fully in-office
• Hours: Monday-Friday, 7:00am-5:00pm
• Target Start Date: May 4, 2026
• Estimated Salary: $60,000/year
• Must be legally authorized to work in the United States, without the need for sponsorship now or in the future

Essential Tasks - In this job, you will:

• Apply business unit requirements into an automation or analytics solution using tools such as Alteryx, SQL, Snowflake, Tableau, Python, Power BI
• Build ergonomic and sustainable data analytics dashboards 
• Mitigate risk for the firm and our clients by securely delivering data and insights to stakeholders
• Leverage your innovative skills to identify ways to continually improve processes

General Skills and Abilities - In this job you will demonstrate:

• Strong motivation to succeed, both as an individual and in a team setting
• Strong communication skills, interpersonal skills, and attention to detail
• The ability to prioritize tasks, meet deadlines, and minimize risk while working under pressure
• The ability to maintain a positive attitude and adapt quickly to challenges
• The ability to use discretion and good judgment
• Effective problem solving and critical-thinking skills
• Willingness to be proactive and take initiative
• Ability and willingness to learn new skills on the job

Digital/Technical Skills - In this job you will demonstrate:

• Intermediate skills querying data using SQL and in data management practices, for example creating and maintaining ETL/ELT, analytics and visualization
• Basic data analytics and visualization skills using Tableau or Power BI
• Python and/or Alteryx skills are nice to have but not required

Education/Knowledge/Experience: 

• Candidates must have one of the following:
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business Analytics or a related field
  • Bachelor’s degree in any field combined with at least 2 years of experience (professional, personal or academic) in Business Intelligence, Digital Transformation, and/or Data Analytics

Social Interaction - The following types of communication and interaction are required to perform the job successfully: 

• Oral communication: Daily
• Email communication: Daily
• Instant messaging: Hourly
• Telephone communication: Weekly
• Video communication: Daily
• Interacting with supervisors: Daily
• Interacting with peers: Daily
• Interacting with customers: Weekly

Job Stressors - Employees sometimes find the following stressful about this job:

• Working in a fast-paced, market-driven environment
• Having to constantly prioritize tasks, projects, and deadlines
• Dealing with business, operations and engineering stakeholders that can be challenging

Job Motivators - Employees tend to find the following motivating or rewarding:

• The opportunity to work with an incredibly supportive team
• Access to great internal training resources
• Finding fulfillment in helping others and satisfaction in problem-solving
• Being able to build data insights to support the business strategy and drive transformation in an ever-evolving technical environment
• Contributing to the progression of the division towards digital and AI solutions

Candidate Assessment - To be considered for this role, compatible applicants: 

• Will complete a Candidate Profile 
• May complete a short work sample exercise
• Will be invited to participate in a Structured Candidate Meeting with the hiring manager(s)

Workplace Support

• Specialisterne and our employer partners are committed to providing inclusive onboarding experiences and supporting new employees as they learn on the job 
• All new hires continue to liaise with a Specialisterne Workplace Support Specialist throughout the duration of the internship

**Beware of scams and fraudulent job postings. Specialisterne only accepts applications through our careers page at https://specialisterne.applytojob.com/apply**