Data Analyst

Conduct data-based research at the intersection of public policy and corporate strategy, combining qualitative policy research, large-scale data processing, and structured classification of datasets. A data analyst will be involved in every part of a research project, from organizing and designing the collection of messy public information, to converting that information into structured datasets, to generating analysis with clearly articulated and evidenced findings, to presenting those findings to senior leadership of corporate clients. Baron Public Affairs, LLC equips corporate and government leaders to anticipate and manage the threats and opportunities that shape the competitive landscape. Applying a methodology focused on mastering the strategic competition of interests, Baron advises some of the nation’s most prominent organizations, including members of the Fortune 10, several of America’s largest privately held businesses, and the U.S. Department of Defense. APPLICATION Interested candidates should submit an example of their work, cover letter, transcripts (official or unofficial), and a resume. The example of your work should demonstrate analytical skills and the ability to clearly convey quantitative analysis to a non-technical audience. The application deadline is July 7, with an expected start date between July and mid-September. COMPENSATION $80,000 to $90,000 annually, depending on experience. Baron does not sponsor work visas and requires the ability to work in-person in Washington D.C. RESPONSIBILITIES Analysis of public records, filings, and government databases Build structured datasets from unstructured or semi-structured sources Devise strategies for quantitative analysis of trends where data is obfuscated or is not neatly quantifiable Develop and maintain workflows for cleaning, transforming, joining, classifying, and analyzing large datasets Use web scraping and APIs to gather data at scale Use LLMs, embedding, and other machine learning tools to process non-numerical data at scale Produce graphical representations of trends and other findings Merge quantitative analysis with the qualitative expertise of team members to generate novel insights Distill extensive analysis into key, actionable findings presented in dashboards, slide decks, and memos REQUIRED BACKGROUND AND SKILLS A strong STEM background including proficiency in statistics and calculus Extensive experience in one or more programming languages (Python, SQL, R, or MATLAB preferred) Ability to work with large datasets and design scalable, repeatable workflows rather than one-off analyses Experience presenting data graphically Detail-oriented Interest in politics PREFERRED BACKGROUND AND SKILLS Experience with and technical understanding of machine learning algorithms and tools Strong organizational skills Interest in designing elegant visuals and experience with Adobe InDesign and/or Tableau #J-18808-Ljbffr