Analyze a diverse array of large alternative datasets for insights and signal
Clean and add structure to semi-structured and unstructured data
Develop and apply data normalization and penalization methods to correct for inherent biases in each dataset
Combine multiple datasets into predictive models
Design and build scalable data products in concert with Data Scientists, Data Engineers, Product Managers, and Financial Analysts
Develop creative and intuitive ways to visually present data insights to clients

Requirements

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Expert in using SQL to analyze and organize multiple large datasets
Experience with data modeling and statistical backtesting
Experience with data visualization tools
Excellent written and verbal communication skills – able to readily translate between technical and non-technical audiences
Interest in consumer and retail behavior across the globe
Ability to juggle multiple, rapidly evolving projects
Knowledge of Python or other programming languages a plus
Experience with alternative data is a plus
Experience with DBT is a plus

Benefits

Flexible working arrangements
Performance-based bonus
Company equity
401(k) matching
Paid parental leave
Flexible and generous time off
Work-from-home flexibility
Subsidized health benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata modelingstatistical backtestingdata visualizationdata normalizationdata penalizationPythondata analysispredictive modelingdata cleaning

Soft Skills

analytical skillsattention to detailcommunication skillsorganizational skillsability to juggle multiple projectscreativityintuitive presentation skills