Data Analyst

R/GA; New York; On-site; GBP 68,000 - 90,000; Full time

Job summary

R/GA is seeking a Data Analyst to design measurement frameworks, build AI-powered analytics pipelines, and turn complex data into clear recommendations for clients. The role sits at the center of transforming brand data into actionable intelligence across surfaces and dashboards.

You will work with Python, SQL, GA4, BigQuery and visualization tools, presenting insights to senior stakeholders and shaping the next generation of data solutions for marketing teams.

Qualifications

• Experience building with AI including prompts and pipelines.
• Experience taking data end-to-end to executive presentations.
• Strong Python and SQL skills; able to read, write and debug.
• Hands-on time with messy real-world data.
• Familiarity with at least two analytics/tools from list.

Responsibilities

• Develop measurement frameworks aligned to business goals.
• Present performance results with a single clear recommendation.
• Implement, test and debug analytics tracking on client sites or apps.
• Build and ship a working AI pipeline from a spec.
• Pull data from BigQuery, GA4, media platforms or a CRM to interpret.
• Build a dashboard that clients trust and use weekly.
• Take a reporting task and redefine it into a better solution.
• Write the spec for the next project.

Skills

LLMs

Python

SQL

Data storytelling

Data cleaning

Education

Bachelor's degree

Tools

GA4

BigQuery

Looker Studio

Power BI

Google Tag Manager

Adobe Analytics

DV360

Salesforce

HubSpot

Braze

Google Ads

Meta

Job description

DATA ANALYST

ABOUT R/GA AND THIS ROLE:

R/GA designs intelligent brand systems that help businesses get ahead.

The Data practice gives those systems their intelligence and proves we get brands ahead.

Reporting will always be part of the job. But our work is changing rapidly towards building the systems and solutions that help brands decide and act.

This role sits at the centre of that shift. A measurement framework can become a test-and-learn programme. A dashboard can become an always-on intelligence solution across multiple surfaces. Repeated manual analysis can become an automated pipeline. Your job is to deliver what is needed now and spot what it should become next.

ON ANY GIVEN DAY YOU MIGHT:

• Develop measurement frameworks aligned to business goals & strategy.

• Present performance results to a client and give them one clear recommendation, not five hedged options.

• Implement, test and debug analytics tracking on a client's site or app.

• Build and ship a working AI pipeline from a clear spec. Prompts, evaluation, data in and out, documented so a peer can run it.

• Pull data from BigQuery, GA4, media platforms or a CRM and work out what it is actually saying.

• Build a dashboard that a client opens every Monday and trusts. Then ask what it would take to make the dashboard unnecessary.

• Take a reporting task you were handed and come back with the thing it should have been.

• Write the spec for the next thing we build.

WHAT WE EXPECT FROM YOU ON DAY ONE:

We are hiring for someone who already builds with AI because they cannot help themselves, who finds marketing data interesting, and who wants to learn from the team, the strategists, designers and technologists sitting next to them.

• You have built something with AI. A side project, a university assignment, a work tool or a weekend experiment. You have written prompts that failed, fixed them and shipped something another person used. You can show us what you built, explain how you tested it and tell us what you would improve.

• You care about AI beyond the hype. You read the model release notes. You experiment with new tools. You have opinions about where this is going and want to spend the next few years getting very good at applying it.

• You find marketing fascinating. Media performance, website analytics, CRM, loyalty, brand health and search. You understand that these are connected systems that influence whether a brand grows, and you want to know how they work together.

• You use numbers to change what happens next. A finding nobody acts on is a finding you have not finished. You care more about the decision the data drives than the chart it sits in, and you will push until someone does something differently because of what you found.

YOU BRING:

• Experience building with large language models. Prompt design, retrieval, evaluation, tool use or multi-step pipelines. Professional, academic or self-taught all count.

• Experience taking data end-to-end from analysis and insight development through to clear, compelling presentations for senior and executive stakeholders. You can turn complex findings into a story that supports a decision.

• Working Python and SQL knowledge. You can read, write and debug both.

• Hands‑on time with messy real‑world data. You can join it, clean it, structure it, and spot a wrong number before anyone tells you.

• Familiarity with at least two of: GA4 or Google Tag Manager, BigQuery, Looker Studio or Power BI, Adobe Analytics, a media platform (Meta, Google Ads, DV360), a CRM (Salesforce, HubSpot, Braze).

WHY R/GA:

At R/GA, how we work is as important as what we build. Regardless of title, every team member brings these Signature Behaviours to life.

Make Things Happen — Ownership, momentum, and adaptability.Make Things Together — Cross‑functional collaboration, openness to feedback, and building on shared ideas.Make Things New — Experimentation, fresh perspectives, and questioning the default.Make Things Matter — Intentionality, craft, precision, and delivering lasting impact.

No‑matter who you are, where you’re from, who you love, follow in faith, disability (or superpower) status, ethnicity or the gender you identify with (please do tell us your pronouns), you're welcome at R/GA. If you have any requests or requirements to support you throughout any interview process, please do let us know.