Data Visualization Engineer, Client Delivery

Ovative Group

$75K — $93K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in reporting, data, and/or analytics
  • Proficient in SQL for dataset development
  • Strong analytical skills for insights extraction
  • Experience with Tableau for client-facing reporting
  • Familiar with orchestration tools like Dagster, Airflow
  • Strong organizational skills for managing multiple tasks
  • Ability to communicate technical needs to non-technical audiences

Responsibilities

  • Translate client needs into effective reporting solutions
  • Define data requirements for engineering partners
  • Collaborate on data pipeline needs to ensure reliability
  • Create proposals with stakeholders for reporting solutions
  • Bridge design and development to ensure visualization quality
  • Onboard clients efficiently onto reporting platforms
  • Document technical requirements and troubleshooting findings

Benefits

  • Access to all office spaces in MSP, NYC, and CHI
  • Paid travel to Minneapolis for team events
  • Generous paid vacation policy
  • 401k match program
  • Comprehensive health insurance including coverage for same-sex partners
  • Family formation benefits with reimbursement options
  • Monthly mobile phone stipend
  • Sabbatical program
  • Charitable giving opportunities with financial match
Full Job Description
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 of a Data Visualization Engineer, Client Delivery:

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


Deliver with quality and rigor

  • 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


Grow with the team

  • 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


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


Preferred:

  • 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


Pay Transparency:

At Ovative, we offer a transparent view into three core components of the total compensation package: Base Salary, Annual Bonus, and Benefits.

For our Sr. Analyst positions, including the position of Data Visualization Engineer, Client Delivery, our compensation range is from $75,000 to $93,000 on an annualized basis, which is inclusive of an annual bonus opportunity of up to 15% of base salary.

Benefits:

We strive to hire and retain the best talent by offering fair, competitive compensation, a meaningful bonus program, and excellent health coverage. When the company performs well, we all benefit.

Some tangible benefits and amenities we enjoy:
  • 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


Additional information can be found at Ovative's Career Page.

The details of the benefits are covered by applicable plan documents for group benefits and by company policies where a plan document does not apply.

Working at Ovative won't be easy-but if you like challenging, hard work, driving results, and being surrounded by the best talent, it has the potential to be the most rewarding job you'll ever have. If you think you can make us better, we want to hear from you!

Application Details and Process:

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. Ovative is unable to sponsor or take over sponsorship of an employment visa for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification documentation upon hire.

Open Until Filled or Otherwise Withdrawn:

We encourage interested candidates to apply early. The position will remain open for at least 10 business days from the first day of posting. After this time, if the position has not been filled, the posting will remain open until the position is filled, or until the posting is otherwise closed or withdrawn for business reasons.

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