Analytics Lead

At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and technology with culturally relevant creativity to scale the world’s fastest-growing digital brands. Viral Nation offers a fluid, creative, and growth-oriented environment that will support your ambitions to apply your talents in an open, collaborative, and fast‑paced culture.

Our ability to stay at the forefront of the industry has fuelled our success and will guide us in paving the path forward. We’re driven to push boundaries and think beyond today to deliver strategies, and we’re just getting started.

While we continuously exceed our goals, we need your help – our success is only as great as our people. Strong performance leads to high expectations, and we must keep raising the bar!

In this pivotal role, you will play a key part in shaping the future of our organization by leveraging data to drive informed decision‑making for our clients and us. As an Analytic Lead, you will work collaboratively across departments to extract meaningful patterns, trends, and insights that will guide both our and client strategy. If you are an expert storyteller and thrive in a fast‑paced environment, enjoy translating complex data into compelling narratives, and are ready to make a significant impact, we want to hear from you.

Join us on the forefront of data‑driven innovation and help steer our company towards continued success.

• Serve as a senior analytics partner to account, strategy, and executive stakeholders, translating business objectives into scalable, best‑in‑class measurement frameworks that power social‑first and commerce‑driven growth.
• Act as the trusted advisor to executive leadership, shaping marketing, retail, and digital investment decisions through clear, data‑driven insights tied to revenue impact.
• Own the end‑to‑end measurement strategy across paid media, influencer, social, and retail media, ensuring a direct and measurable connection between spend and commercial outcomes.
• Forecast and quantify incremental revenue and retail lift across eCommerce and brick‑and‑mortar partners by developing predictive models that link media investment, influencer engagement, and social performance to sales velocity and conversion.
• Design and operationalize advanced ROI frameworks, including brand lift, sales lift, incrementality testing, multi‑touch attribution, and marketing mix modeling to optimize channel mix, budget allocation, and long‑term growth.
• Build scalable systems to evaluate influencer effectiveness, content performance, audience growth, and conversion impact, translating insights into creative and platform optimization strategies.
• Identify emerging consumer behavior and digital engagement trends to inform brand strategy, innovation pipelines, and go‑to‑market planning.
• Lead, mentor, and scale a high‑performing analytics team, cultivating a culture of analytical rigor, commercial acumen, and executive‑level storytelling.
• Oversee the development of scalable data infrastructure, including structured databases, automated reporting workflows, dashboards, and standardized executive reporting.

• Extensive experience in marketing, media, or agency environments, with demonstrated ability to apply analytics and research to drive client strategy and business outcomes.
• Bachelor’s or Master’s degree in a relevant field (Social Sciences, Statistics, Data Science, Business Analytics, or related discipline), or equivalent practical experience.
• 7–10+ years of progressive experience in research, analytics, and measurement, with a proven track record of leading complex, high‑impact initiatives.
• Advanced expertise in primary and secondary research methodologies, including brand tracking, brand and communications strategy, brand lift studies, regression analysis, Market Mix Modeling, social listening, and digital and site analytics.
• Deep technical proficiency in analytics and BI technologies, including Python and SQL for analysis and data modeling, Google Cloud Platform, Big Query, and Snowflake for data…