The job aims to solve the business problem of extracting, integrating, analyzing, and interpreting data from internal and external sources to develop actionable intelligence that supports business goals and recommendations.
Requirements
- Bachelor’s degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics.
- Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data presentation.
- Specific exposure with hands-on data analysis of databases and files using SQL dialects and statistical programming languages.
- Strong formulas and data visualizations knowledge.
- Exposure to business intelligence or analysis platforms.
- Naturally curious and ability to drive business decisions and solutions.
- Effective communication skills, both verbal and written, with the ability to present complex information.
Responsibilities
- Extracting, integrating, analyzing, and interpreting data from internal and external data sources.
- Developing intelligence packaging that draws conclusions and supports recommendations to achieve business goals.
- Collaborating with the team and key business stakeholders to ensure critical business objectives are met.
- Following the analytics lifecycle within assigned domains.
- Working cross-functionally with business stakeholders to identify risk and provide solutions.
- Driving data-enabled decisions through analysis and interpretation.
- Presenting complex information effectively to stakeholders.
Other
- Bachelor’s degree in a quantitative discipline.
- Master’s degree (preferred).
