Data Analyst

Baron Public Affairs, LLC; Washington (District of Columbia); On-site; USD 80,000 - 90,000; Full time

Job summary

Baron Public Affairs, LLC is seeking a data analyst in Washington, D.C. The role involves conducting data-based research, analyzing public records, and building structured datasets. Candidates should possess a strong STEM background and proficiency in programming languages like Python and SQL.

The annual salary ranges from $80,000 to $90,000 based on experience. Interested applicants should submit their work examples and transcripts by July 7.

Qualifications

• Extensive experience in one or more programming languages (Python, SQL, R, or MATLAB preferred)
• Ability to work with large datasets and design scalable workflows
• Experience presenting data graphically.

Responsibilities

• Analysis of public records, filings, and government databases
• Build structured datasets from unstructured or semi-structured sources
• Produce graphical representations of trends and findings
• Merge quantitative analysis with qualitative expertise.

Skills

Proficiency in statistics

Proficiency in calculus

Experience in Python

Experience in SQL

Experience in R

Experience in MATLAB

Detail-oriented

Interest in politics

Education

Strong STEM background

Tools

Adobe InDesign

Tableau

Job description

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