Research Analyst

Omniscient Digital

Research Analyst transforming raw data into compelling narratives at an organic growth agency. Collaborating with teams to produce influential research studies for B2B software companies.

Posted 6/3/2026full-timeRemote • New York • 🇺🇸 United StatesJunior💰 $70,000 - $85,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

100% remote flexibility
Ownership of research that gets read by thousands of B2B leaders and cited across the industry
A front-row seat to how AI is reshaping search, content, and brand discovery
Collaborative, experimental team that values rigor and creative thinking in equal measure
Career growth in a space that’s evolving fast

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical analysisdata collectionsurvey designsampling strategydata visualizationquantitative analysisdata cleaningPythonRBI dashboards

Soft Skills

communicationstorytellingcollaborationpresentationnarrative writingstakeholder engagementnetworkingcreativityproblem-solvingadaptability