Omniscient Digital

Research Analyst

Omniscient Digital

full-time

Posted on:

Location Type: Remote

Location: New YorkUnited States

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Salary

💰 $70,000 - $85,000 per year

Tech Stack

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
survey designsampling strategydata collectionstatistical analysisquantitative analysisdata visualizationPythonRNLPAI search tools
Soft Skills
communicationstorytellingcollaborationpresentationwritingnetworkingstrategic recommendationsdata narrativecreativityproblem-solving