Senior Data Analyst at R/GA - United States

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Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Advanced Analytics, Artificial Intelligence, Marketing Technology, Client-Facing Presentation, Storytelling Skills, Google Analytics, Adobe Analytics, SQL, BI Platforms, Cloud Data Platforms, Python, R, Return on Investment Models, Emerging AI Trends, Martech Expertise

Industry

Advertising Services

Description

Introduction to R/GA & the role R/GA Australia is a new breed of creative innovation business that has combined the rapid make culture of an agency with the commercial design and strategic rigour of a consultancy. We have purpose built this model to help brands thrive in the new economy. To be able to do this we base everything on data & insight. Being able to solve complex business problems through data driven insight is the day-to-day of a Senior Data Analyst. If you’re passionate about harnessing data, through advanced analytics, artificial intelligence, and marketing technology to shape the future of brand growth, this role is for you! On any given day you might Present insights with clarity and confidence, turning complex concepts into compelling narratives. Develop measurement frameworks tied to business goals and campaign strategies. Leverage AI tools and frameworks to accelerate analysis, automate workflows, and enhance creative/strategic outputs across the business. Build dashboards and data products that blend distributed data sources (CRM, Paid, Website, Business) into a single source of truth. Implement and debug complex tracking across websites & apps. Apply advanced martech expertise across Website, CRM, eDM, Paid Media etc. Develop Return on Investment models/simulations. Bring an expert lens on emerging AI and marketing technology trends to clients and internal teams. Provide oversight to more junior team members Partner closely with Strategy, Tech, Experience Design, and Account Services to ensure data fuels R/GA’s model of informed decisions. The ideal person A clear communicator who can translate technical detail into business impact. An avid user of AI in your day-to-day work. Whether that’s leveraging large language models, generative AI, or machine learning frameworks. Deeply curious, with a drive to uncover the “why” behind the numbers. Comfortable working autonomously and managing multiple priorities in a fast-paced environment. A problem-solver who thrives on blending creativity, technology, and data. You bring Ideal 6+ years’ experience in analytics, with proven impact in a marketing or digital environment. Strong client-facing presentation and storytelling skills. Experience across a broad martech stack: Google Analytics, GTM, Adobe Analytics, CDPs (Adobe, Tealium, Salesforce, etc.), Campaign Manager, Google Ads, Meta Ads, etc. Hands-on expertise with BI and visualisation platforms (Tableau, Power BI, Looker Studio). Advanced proficiency in SQL and comfort working with large, complex datasets. Experience with cloud data platforms, ideally certified in Azure or Google Cloud (BigQuery, AI/ML, Data Engineering or equivalent certifications). Experience using AI/ML for prediction modelling, automation, or insight generation. Nice to have: Experience leading or mentoring small teams. Experience in Brand Tracking / Qualitative Reporting. Experience with Python or R for modelling and automation. Familiarity with MLOps or deploying models into production environments. Prior exposure to data engineering concepts and pipelines. Diversity 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.

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Responsibilities

The Senior Data Analyst will solve complex business problems through data-driven insights and present findings clearly. They will develop measurement frameworks, leverage AI tools, and build dashboards to support business goals.