Omniscient is an organic growth agency that builds revenue-focused organic growth systems for B2B software companies — optimized for both search engines and generative AI.

We pride ourselves on being lean, agile, and experimental. Our team thrives on R&D and innovation, always exploring the smartest ways to deliver exceptional results. We believe in a culture of building and shipping — whether it’s client deliverables, new services, or internal tools that keep us ahead of the game.

If you’re looking for a role where you’ll tackle challenging problems, work with ambitious brands, and help shape the future of organic growth, let’s talk.

Learn about the principles that drive how we work and build a company.

About This Role

We’re looking for a Research Analyst who can transform raw data into compelling narratives, strategic insights, and measurable business impact.

You love a spreadsheet, but you’re also the kind of person who looks at a dataset and sees a story that will get shared by CMOs and cited by journalists.

In this role, you’ll work on original research studies for Omniscient and on behalf of our clients that are cited, shared, and influence the industry narrative.

What You’ll Do

Design and lead original research (40%)

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

Build visualizations and reporting (25%)

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

Collaborate and consult (20%)

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

Evolve the research practice (15%)

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

Who You Are

Must-haves

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

Examples of Work You’d Own

To give you a concrete sense of the role, here are real studies from our research team:

How LLMs Source Brand Information — Analyzed 23,000+ AI citations across five LLMs to map how language models decide what brands to recommend