Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed
Monitor and forecast key business metrics regularly
Identify the right metrics to track progress against a given business goal
Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms
Develop compelling stories with business insights, focusing on the strategic goals of the organization
Work with Business, Product, and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness.
Requirements
Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field
0-2 years of experience in analytics/data science or related field
Hands-on experience with data manipulation tools like SQL, R, Python, Excel, etc.
Exposure to BI Platforms like Power BI, Tableau, etc.
Comfortable in a high-energy, fast-paced environment
Proficient verbal and written communication skills
Detail-oriented with the ability to self-direct work in an unstructured environment
Excellent partnership and collaboration skills with the ability to work cross-functionally
Good organizational skills include prioritizing, scheduling, time management, and meeting deadlines.
Hiring criteria
You should have or be completing the following to apply for this opportunity.
Entry Pathway
Degree or Certificate
Minimum Level of Study
Bachelor or higher
Study Field
B
Accounting, Commerce & Finance
Actuarial Studies
Business Administration & Management
Economics
Human Resources
Leisure, Hospitality, Tourism & Retail
E
Engineering & Mathematics
Work rights
The opportunity is available to applicants in any of the following categories.