Analytics Intern

We are a global workforce solutions company that helps organizations find, grow, and support their most valuable resource - people. More than 30 years ago, we invented the creative and marketing staffing speciality. We continue to be the largest creative staffing and marketing firm in the world. By challenging conventional wisdom, we continuously innovate across talent, services, and technology within the creative space and beyond.

Responsibilities:

• Compile, verify accuracy and record data into our systems

• Support a data-based culture to drive decision-making 

• Analyze large data sets from multiple sources to identify trends, root causes, and business improvement opportunities, and visualize those findings using digital analytics tools

• Other duties and projects as assigned

Experience/Qualifications

• College student in sophomore year or above in STEM field (Economics, Math, Statistics, Engineering, Computer Science) or equivalent experience

• Ability to communicate technical information in lay terms

• Ability to work in a collaborative, team environment

• Be a self-starter yet not afraid to ask questions when needed

• Open to learning, embracing new challenges and taking feedback

• Ability to work remotely productively

Preferred Qualifications

• Comfort managing data in spreadsheets

• Basic understanding of BI tools such as Tableau

• Experience with SQL, Python or R

What’s in it for you

• Work for a company that creates business value for some of the biggest companies in the globe!

• Develop and apply your data skill set while working on real-world problems 

• Opportunity to learn how data insights are generated and applied in a business setting

• Learn and apply an engineering design process mindset to optimizing business operations and creating solutions

• Opportunity to learn how to use different software tools to enable effective data analysis and visualization such as SQL and Tableau

• Learn from a diverse group of individuals from different backgrounds and expertise in business analytics, from data structures to finances
   
  Job Details
  This is a part-time, fully remote position, 20 hours/week