Co-op/Internship in Business Insights and Analytics
Categories
Data analysisSkills
power bi apache hadoop statistical analysis python (programming language) machine learning java (programming language) mapreduce sql (programming language) sas (software) spss (statistical software)Are you working on a project that requires advanced statistical analysis, knowledge in database management, big data, machine learning or data visualization? Do you need help with monetizing your data more effectively? Does your business have lots of historical data requiring cleaning and profiling? Are you interested in merging your internal data to various external data to derive new business insights?
Business Insights and Analytics Post-Graduate Certificate Program at Humber College can offer you a win-win solution. We have students who have the required knowledge and skills and are eager to apply them to real-life projects. You are looking for help and have placement opportunities for our students.
Our placement is 320 hours. Students can work part time (4 months) or full time (2 months).
Our students are:
- Able to ask analytical questions, formulate a problem & define required data entities
- Able to profile data & conduct statistical analysis to assess data quality
- Able to uncover unidentified relationships between data
- Able to organize multiple data sources into an enterprise-wide database using SQL
- Able to develop descriptive/diagnostic/predictive/prescriptive models (i.e., Java, SPSS, SPSS Modeler, SAS, Python) to help managers derive business insights
- Able to manipulate any type of data & use R for Big Data manipulation
- Skilled at working with the Hadoop architecture & querying large amounts of data using Map Reduce
- Able to define dashboards needed in a specific situation & identify the ideal visual to present data (i.e., Excel, Tableau, Power BI)
Hence, during an internship they can contribute to projects related to various data analytics-based solutions (i.e., statistical analysis, dashboards, predictive model, machine learning implementation, etc.)
Project Examples
Sales
· Identify cross-selling opportunities based on customer purchase history to enhance sales and improve customer experience
· Increase sales by identifying seasonal trends
· Identify profitable vs. unprofitable customers
· Predict the likelihood of customer attrition
Supply Chain
· Determine how much inventory to have at a given time to manage costs and space effectively
· Evaluate the efficiency of current suppliers and predict that of potential suppliers
Marketing
· Identify customer segments and select the best product/service to bring to the market
· Improve marketing campaigns based on the sentiment analysis
Finance
· Identify which bank client has a higher probability to apply for a mortgage
· Identify which clients will most likely not pay their mortgage
· Determine the credit limit a bank/financial institution can offer to a client
Human Resources
· Determine which employee is more likely to leave the company and why
· Determine whether a potential applicant fit the company
Companies must answer the following questions to submit a match request to this experience:
A representative of the company will be available to answer questions from students in a timely manner for the duration of the project.
A representative of the company will be available for a pre-selection discussion with the administrator of the internship program to review the project scope.