Quantitative Research Intern
We are Crestview Strategy, a digital-first public affairs agency. Following a year of unprecedented growth, our Digital, Campaigns, and Mobilization practice needs additional research experience to help deliver exceptional outcomes for our clients.
We work with some of the largest companies in the world on a wide variety of interesting and complicated issues. We apply robust statistical methods to evaluate the performance of our campaigns and to guide strategies for our clients. We also undertake research projects for global clients, tailoring mixed-methods approaches depending on the objective.
We are looking for a talented, motivated individual eager to take on challenging research projects and work with our team of digital campaign experts to develop high quality, cutting-edge research
In this role, you will be working directly with Crestview’s data analyst, and have the opportunity to contribute to a wide range of client files.
Reporting key campaign metrics via live dashboards; maintaining dashboards regularly
Help design and set-up A/B tests and multivariate tests for campaigns; evaluate performance post campaign sprints, and provide concrete recommendations to the team
Routinely design surveys, analyze data and present insights
Visualize data in intuitive ways
Present insights in an easy-to-understand manner – through written memos, PowerPoint or verbal presentations
Conduct monthly deep-dives into campaigns, analyzing longitudinal data to uncover key trends
Use structured and unstructured datasets to design and test causal models
Statistics background, good grasp of statistical tests of significance, sampling techniques, descriptive statistics, and basic linear regression models
Some level of fluency with SQL (or a willingness to go through a very steep learning curve!)
Ability to communicate technical concepts in a very simple, easy-to-understand and concise manner to a largely non-technical audience
Basic familiarity with Tableau or other BI reporting tools
Ideal, but not necessary: Some coding experience in R or Python
Ideal, but not necessary: Some basic data science training/background in clustering and classification algorithms
Ideal, but not necessary: Experience with digital advertising reporting metrics (Facebook, Google Analytics, Twitter)
We value diversity and would encourage you to apply if this opportunity sounds interesting, even if you feel that you do not meet all of the qualifications listed. This is a paid position.