Responsibilities

• Driving integrated analytics projects: You’ll independently lead analytics efforts across complex client accounts - defining target audiences, measuring what works to persuade them, and tracking what other campaigns and news they’re seeing to help clients understand market dynamics.
• Advancing our capabilities with new data and techniques: You’ll improve our suite of data science offerings using AI tools and new methodologies to run more effective campaigns and deliver deeper insights to our clients.
• Consulting and project management: You’ll own the execution of entire workstreams, coordinating between clients and teams (including other specialty teams at BPI) and refining internal processes to work more efficiently and effectively.
• Design and execute experiments to measure the impact of public affairs and reputational advertising campaigns using surveys with RCT and causal inference methodologies.
• Identify and build target audiences from varied data sources and analyze channel consumption habits and then blend that data with opinion data to build a comprehensive understanding of our audiences.
• Translate complex statistical concepts and data into polished, client-ready decks and memos for non-technical stakeholders, including visualizing data.
• Leverage statistics, predictive models, and advanced analytical tools like machine learning to analyze audience engagement and derive insights from news and social media monitoring.
• Experiment with new data sources and AI tools to enhance deliverables and scale repeatable team tasks.
• Coordinate project timelines and workflows across cross-functional internal teams.

Requirements

• At least 4 years of analytics and data science experience. Experience in public affairs, corporate data, or political campaigns is strongly preferred.
• Demonstrated expertise in R or Python for analyzing datasets, writing clean analysis scripts, and building visualizations and analysis deliverables.
• Experience using SQL to filter, process, and prepare data.
• Experience working with outputs from statistical models, predictive analytics, or causal inference to solve client problems and articulate results in plain language.
• Strong visual polish and communication skills, with a proven ability to translate complex data into clear, client-ready narratives.
• A collaborative mindset with a track record of supporting teammates informally on a peer-to-peer level (formal direct report management or structured training experience is not required).
• A product-focused mindset with an interest in scaling one-off tasks into standardized workflows or tools alongside engineering teams.
• Strong data intuition, critical thinking, and first-principles problem-solving abilities.

Benefits

• 100% company-paid medical, dental, and vision insurance
• a 401(k) program with employer match up to 4%
• generous time off for vacation
• $50 monthly phone reimbursement
• unlimited sick time
• 16 weeks of paid leave for new parents