Support in execution of quantitative research and consulting projects from start to finish: Project design and preparation
Financial Modeling
Data analysis
Building insights-based reports
Client Communication and engagement including building and delivering decks and reports
Develop data science solutions for clients and our internal team including: Build, deploy and automate various models (classification, regression, forecasting)
Transform large volumes of data from internal and external systems in a manner suitable for analysis
Research new data sources, analytical tools, and DC methodologies
Provide an expert point of view on analytical techniques and guidance to other analysts and our sales directors
Work with our team on interdisciplinary projects using math, statistics and machine learning, to derive structure and insights from raw data across various industry sectors and help solve real world problems
Work with the team to turn complex models into user-focused visualizations
Requirements
BA/BS from a top university with outstanding grades, preferably in Computer Science, Statistics, Math, Finance, or a related field.
1-3 years of experience in data analysis
Excellent quantitative skills and exceptional attention to details
High level and advanced Excel skills (functions, charts, sorting and pulling data by logical conditions, VBA)
Programming and BI Familiarity (e.g., Python (must), SQL, Tableau, Qlik)
Experience with a statistical package (e.g., R, STATA, SPSS)
Ability to summarize findings and reveal patterns in data
Strong sense of design in structuring PowerPoint presentations
Familiarity with CX tools (e.g., Medallia, Qualtrics)
An advantage
Experience with Conjoint studies
An advantage
Must speak and write English fluently and idiomatically
Capable of working both independently on projects and collaborating with a team