Data Visualization Engineer, Client Delivery

Ovative Group • Minneapolis, MN

5d • Hybrid

About The Position

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.

Requirements

• 3+ years building enterprise products in reporting, data, and/or analytics space
• Experience with writing, updating, and optimizing SQL queries to develop datasets
• Proven analytical skillset with ability to derive insights out of large datasets and present findings in an appropriately detailed manner
• Experience with data visualization tools i.e. Tableau to create client facing reporting
• Familiarity with orchestration tools i.e. Dagster, Airflow
• Foundational organization skills and ability to manage multiple projects and deadlines
• Foundational technical acumen and desire to work within a technical environment
• Familiarity working with technical and business teams – including presenting technical requirements to non-technical audiences
• Applicants must be legally authorized to work in the United States for any employer on a full-time basis, without current or future need for visa sponsorship.

Nice To Haves

• Familarity with cloud platforms such as GCP, Azure
• Experience with iterative development and Agile methodologies, including familiarity with SAFe or similar scaled frameworks.
• Experience with, or a strong curiosity about AI-assisted tools for data analysis and visualization.
• Familiarity with Python, or other data processing and analysis tools
• Experience in a digital marketing role or agency
• Familiarity with advanced marketing return methodologies such as Multi-Touch Attribution and Media Mix Modeling

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, upholding data visualization best practices and client standards
• Apply a UI/UX lens to visualizations, keeping a consistent approach across solutions so they scale
• Onboard new clients onto our reporting platforms and EMRge MMM, setting them up for a smooth, successful launch
• Design, develop, test, and deploy reporting and software solutions that meet business and technical requirements
• Take new features from beta through general availability, and maintain existing solutions as client needs evolve
• Own documentation — technical requirements, evaluation plans, test results, and recommendations
• Follow established engineering best practices: code quality, documentation, deployment, and testing
• Troubleshoot reporting and software issues independently, escalating and collaborating as needed, including participating in an on-call rotation to support production systems
• Leverage AI-assisted development tools (e.g., GitHub Copilot, Claude, internal LLM tooling) to explore solution options, generate scaffolding, and improve velocity — while maintaining code quality and security
• Share technical expertise and provide guidance to teammates as needed
• Participate in knowledge sharing and stay current on emerging technology and engineering practices
• Explore and champion new tools and technologies that improve how the team works
• Actively contribute to team culture and continue building toward your own professional development

Benefits

• Access to all office spaces in MSP, NYC, and CHI
• Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams
• Generous paid vacation policy
• 401k match program
• Top-notch health insurance options, inclusive of same sex partners
• Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs
• Monthly stipend for your mobile phone and data plan
• Sabbatical program
• Charitable giving via our time and a financial match program
• Shenanigan’s Day

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed