Intern: Data Analyst

Who we are is because of our people. They are our greatest asset. TFG is an internationally diversified retail portfolio of 34 speciality lifestyle and apparel brands that Inspire our Customers to live their Best Lives and are woven into the lives of millions. Our vision is to create the most remarkable omnichannel experiences for our customers. TFG is more than a workplace, it's a launchpad for your growth.

Join us and explore endless growth opportunities across our diverse brands. We're a purpose-led business, and on this team, you'll share the pride of making an impact across a whole industry.

• Assist business teams and management with the development and implementation of operational metrics, dashboards, and reporting
• Use visualization tools to understand and manipulate complex datasets in a simple and intuitive format to rapidly generate impactful, interactive visualizations
• Provide and support ad-hoc reporting services for non-standard issues and analyses
• Continually evaluate, develop, and implement new, meaningful methods for data analysis to inform the business teams about its performance
• Analyze historical figures to identify trends and help define strategies
• Develop and work with prediction models
• Extract, transform, and load data from an extremely wide field of data sources into staging datasets and ultimately into visualization tools

• A Bachelor's Degree in a related field of study (Computer Science, Informatics, Statistics, Mathematics, Accountancy, etc)
• Storytelling ability through visual presentations and dashboards
• Ability to create data models to bring together datasets from multiple disparate systems in order to support data analysis
• Ability to analyze large datasets
• The ability to communicate complex concepts in a clear and concise manner to audiences from staff to senior executive level
• Familiarity with data warehousing architecture and processes
• An analytical mind and inclination for problem-solving
• Experience with visualization tools such as PowerBI, Tableau, Qlik View, and/or Pyramid
• Data manipulation/wrangling skills (SQL and No
  
  SQL technologies, such as KNIME or SSIS)
• Experience delivering prescriptive and predictive analytics
• Expertise in R and Python is advantageous