Research Analyst
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Job Description
Research Analyst transforming data into narratives for B2B SaaS companies at an organic growth agency. Collaborating with teams to deliver impactful research insights.
Responsibilities:
- Develop research methodologies from scratch: survey design, sampling strategy, data collection, and statistical analysis
- Analyze large datasets (often hundreds of thousands of data points) using Python, R, or similar tools to find patterns that matter
- Identify and craft the data narrative. Work with stakeholders to turn data into a compelling story and narrative that achieves business outcomes.
- Collaborate with editorial, digital PR, and SEO strategy to produce research reports that get cited, shared, and covered by industry media
- Create clear, compelling data visualizations that make complex findings accessible to non-technical audiences
- Build and maintain BI dashboards (Looker, GA4) that give clients and internal teams actionable performance insights
- Deliver research insights and data visualization in digestible, understanding, and shareable formats
- Partner with SEO strategists, content leads, and clients to identify research questions worth answering
- Network with industry influencers, software and agency partners, and our broader ecosystem to partner on research studies, collect data, collaborate on campaigns, and drive distribution for the work.
- Present findings to client stakeholders and translate data into strategic recommendations
- Experiment with new tools, methodologies, and data sources, especially at the intersection of AI, search, and content
- Build repeatable research frameworks that scale across clients and topics
- Expand our research practice into the industry gold standard
Requirements:
- You’ve designed and fielded original surveys or research studies (not just analyzed someone else’s data)
- You can write and communicate well. Not just pull quotes from a dataset, you can write the narrative that frames findings for a business audience
- Strong quantitative analysis skills: statistical methods, data cleaning, working with datasets of 1,000+ records
- Proficiency in Python, R, or similar for data analysis (not just Excel, though that too)
- Experience with data visualization. You know how to make a chart that communicates, not just decorates
- Comfortable presenting findings to clients and non-technical stakeholders
- Nice-to-haves: Experience with web analytics platforms (GA4, Looker, Search Console)
- Familiarity with SEO, content marketing, or the B2B SaaS landscape
- Published original research that earned media coverage or industry attention
- Experience with NLP, LLM-related analysis, or AI search tools
- Background in journalism, academic research, or a field that values rigorous methodology and clear writing.
Benefits:
- 100% remote flexibility
- Career growth in a space that’s evolving fast
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