Data Visualization Engineer, Client Delivery

Ovative Group is an independent, full-funnel media, measurement, and creative firm transforming how brands grow. We partner with leading names like American Eagle, Best Buy, Domino’s, The Home Depot, Polaris, and UnitedHealth Group to build smarter media and measurement programs that drive real, profitable growth. We don’t just track performance—we redefine it. Powered by our proprietary intelligence platform, EMRge, and our holistic metric Enterprise Marketing Return (EMR), we help brands connect revenue, customer, and brand outcomes into one clear picture of success. Our approach to full-funnel strategy, buying, and measurement delivers results that matter—and it’s getting noticed. Our work has been recognized by Digiday, Google, USA Today, Inc. 5000, and Search Engine Land.

About the role

Marketers rely on clear, trustworthy data visualization to understand complex datasets and get the most out of their marketing investment. As a Data Visualization Engineer on our Client Delivery team, you'll design, build, and roll out analytics solutions that marketers use every day — including EMRge MMM, our flagship product. You'll work hands-on with tools like SQL, Tableau, and GitHub, and bring a curiosity for modern AI tools into your daily workflow, balancing AI-assisted development with rigorous testing, documentation, and review. You'll own reporting solutions across the full lifecycle — from gathering requirements with clients and internal stakeholders to shipping a finished dashboard — and collaborate closely with both technical and business teams along the way. The right candidate has a passion for data and analytics, strong problem-solving instincts, and a design-thinking mindset. You have hands-on experience building client-facing reporting dashboards and can troubleshoot issues when something doesn't look right. Strong communication and organization skills matter here — you'll be managing multiple projects and deadlines at once on a fast-paced, growing team.

Responsibilities

• Translate client needs into reporting solutions
• Work with clients and internal stakeholders to understand reporting needs, gather requirements, and define use cases for new reporting capabilities
• Define and communicate precise data requirements to engineering partners, ensuring underlying datasets support outputs like year-over-year performance, segmentation, and advanced marketing KPIs
• Collaborate with engineering on dataset and pipeline needs, including orchestration tools (e.g., Dagster, Airflow), to make sure the data powering client reporting is reliable and fit for purpose
• Create and review proposals with key stakeholders to roll out reporting solutions quickly and meet client needs
• Bridge design and development in Tableau,