Strength In Numbers Is Looking for Smart Survey Research Assistants

Key Takeaways

• $50 hourly pay, 20‑30 hrs/month.
• Remote, asynchronous part‑time position.
• Requires R, weighted crosstabs, regression skills.
• Ideal for grad students or freelance data scientists.
• Uncover hidden stories in Strength In Numbers poll data.

Summary

Strength In Numbers is hiring part‑time remote survey research assistants. The role pays about $50 per hour for 20‑30 hours a month and focuses on analyzing raw polling data, creating charts, and drafting concise findings. Candidates need a bachelor’s in a quantitative field, proficiency in R (weighted crosstabs, regression), and the ability to work asynchronously. The hire aims to unlock untapped insights from the site’s extensive poll archives and expand its content offering.

Pulse Analysis

The U.S. political polling landscape generates massive raw datasets that often sit idle after a poll is published. Strength In Numbers (SIN) has accumulated dozens of such surveys, each containing rich demographic cross‑tabs and open‑ended responses. While headline results attract attention, deeper patterns—regional variations, subgroup trends, and longitudinal shifts—require specialized analysis. As media outlets increasingly rely on data‑driven storytelling, the ability to extract actionable insights from these archives has become a competitive advantage for niche polling firms.

The newly announced part‑time remote role targets graduate students and freelance data scientists who can turn raw R files into publication‑ready graphics and concise memos. Required skills include weighted crosstab calculations, regression modeling, and ggplot2 visualizations, all performed asynchronously via GitHub and Slack. At $50 an hour for 20‑30 hours monthly, the position offers a flexible income stream while demanding self‑direction and a solid grasp of public‑opinion methodology. This gig reflects a broader industry trend where short‑term, skill‑specific contracts supplement traditional full‑time analytics teams.

By hiring a dedicated survey research assistant, SIN expects to surface hidden stories that can fuel new articles, enhance its credibility, and attract a larger readership. The additional analysis will also enable the platform to offer bespoke insights to clients, opening potential revenue channels beyond ad‑supported content. For candidates, the role provides hands‑on experience with real‑world polling data, portfolio‑building opportunities, and exposure to contemporary debates in survey design. Ultimately, the partnership strengthens both the business’s data utilization and the professional growth of emerging analysts.