Your focus includes designing, engineering, developing, documenting, and reporting analytic efforts to translate complex data into actionable information.
Your responsibilities will include but not limited to:
- Developing analytic models for the purpose of supporting data-driven decision making.
- Providing ad-hoc data analysis, reporting, and special projects to support internal and external stakeholders.
- Interpreting business requirements and translate them into analytical objectives
- Exploring data structures and processes to ensure analytic quality.
- Performing root cause analysis on business problems while providing recommendations in a timely manner.
- Providing report automation and delivery
- Collaborating with the Engineering team on continuous data quality best practice
THE QUALIFICATIONS:
- Bachelor's degree, or higher in Analytics, Engineering, Statistics, Management Science, Applied Mathematics, Economics, or related field
- 2-5 years of experience in modeling or analytics, preferably in the financial services industry
- Demonstrated use of some of the following tools: Salesforce, Einstein Analytics, SQL, Python, and Data Studio
- Advanced skills in excel or similar package is required
- Knowledge of statistical analysis methodologies
- Demonstrated knowledge of some or all of the following: multivariate regression, time series (forecasting), pattern identification, segmentation, logistic regression, decision trees, optimization, Monte Carlo or discrete-event simulation, unstructured data analysis, and predictive or prescriptive modeling techniques
- Proficient in creating dashboards and custom reports with knowledge of visual techniques for data analysis and presentation
- Outstanding written and verbal skills communication
- A passion for financial inclusion and access to higher education is a must!
