Data Visualization Engineer Jobs
Data Visualization Engineer jobs are open across tech, finance, healthcare, and consulting, from junior to staff and principal level, with specializations in business intelligence, geospatial analysis, and interactive dashboard development. Scan the live roles below and apply to whichever ones fit.
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Company:
MarshDescription:
Marsh is seeking a Leader for Decision Intelligence team to drive the strategy, development, and adoption of enterprise decision intelligence capabilities across the enterprise. This role will serve as a senior accountable leader for delivering trusted, scalable, and business-ready insights through dashboards, reports, and conversational BI layers that support decision-making across the enterprise.
The ideal candidate will combine strong business acumen with deep data and analytics leadership experience, partnering across business, technology, architecture, and senior leadership teams to define priorities, shape roadmaps, and modernize how data is consumed across the organization. This is a highly cross-functional role that requires strategic thinking, strong stakeholder engagement, and the ability to translate business needs into modern, user-centric analytics solutions.
This role will be based in our New York office. This is a hybrid role that has a requirement of working at least three days a week in the office
What can you expect?
A strategic opportunity to shape enterprise decision intelligence capabilities that support critical business decisions.
Visibility across business, technology, and senior leadership teams.
A highly collaborative role working across analytics, data, technology, and business stakeholders.
The ability to influence how insights are delivered, consumed, and activated across the organization.
An environment focused on business outcomes, measurable value, and enterprise-scale transformation.
What is in it for you?
A key leadership role in assisting Marsh leaders make better and efficient decisions.
The opportunity to drive real business impact through modern insights, dashboards, and conversational BI adoption.
Collaboration with global and cross-functional teams.
Exposure to enterprise data strategy, analytics innovation, and modernization initiatives.
A culture that values innovation, collaboration, and continuous improvement.
We will count on you to:
- Own the strategy, roadmap, and measurable outcomes for the Decision Intelligence function.
- Define the vision and operating approach for enterprise data consumption and insight delivery.
- Translate business needs into scalable, trusted, and user-friendly analytics and BI solutions.
- Partner with senior business leaders, architects, engineers, and data teams to deliver decision intelligence capabilities.
- Lead and oversee a global team supporting dashboards, reports, self-service analytics, and conversational BI.
- Ensure the function supports end-to-end business decision-making, not just standalone reporting.
- Drive modernization of legacy reporting and analytics consumption approaches.
- Promote adoption across leadership reporting, operational decision support, self-service analytics, and conversational BI use cases.
- Measure success through adoption, usability, business impact, and trust in the delivered insights.
What you need to have:
- Significant experience in data & analytics, Decision intelligence, Insights delivery or BI related leadership roles.
Strong business acumen and the ability to connect analytics capabilities to business outcomes. - Experience leading global teams and managing senior stakeholder relationships.
- Working knowledge of modern BI, dashboarding, self-service analytics, and conversational BI.
- Proven ability to lead cross-functional initiatives without relying solely on direct authority
- Strong prioritization, problem-solving, and decision-making skills.
- Excellent communication skills with the ability to explain complex data and analytics topics in clear business language.
- Ability to operate effectively in ambiguity while driving measurable outcomes.
- 15+ years of relevant experience.
What makes you stand out?
- Experience in insurance, risk, benefits, financial services, or another complex regulated industry.
- A strategic mindset with a strong focus on adoption, value realization, and business outcomes.
- Experience modernizing legacy reporting environments and introducing new ways of consuming data.
- Demonstrated success in influencing senior stakeholders and shaping data consumption strategy.
- Strong knowledge in emerging analytics capabilities, including conversational BI and AI-enabled insight consumption.
Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being
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Find JobsData Visualization Engineer Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software
- Agriculture & Farming
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in data visualization engineer jobs.
- Proficiency in Tableau, Power BI, or Looker for building production dashboards
- Strong SQL skills for querying and transforming large datasets
- Experience with JavaScript visualization libraries, especially D3.js or Vega-Lite
- Ability to translate business requirements into clear, actionable visual designs
- Familiarity with Python or R for data preparation and exploratory analysis
- Bachelor's degree in computer science, data science, statistics, or a related field
Tips for Your Data Visualization Engineer Job Search
Show tools and output together
Your resume should list the visualization stack you know, Tableau, D3.js, Power BI, and Vega-Lite, alongside the actual dashboards or reports those tools produced. Hiring managers want to see both the instrument and the result, not just a list of software.
Build a portfolio with real datasets
A portfolio of three to five published projects carries more weight than a degree credential alone. Use publicly available datasets, census data, public health records, and financial filings, so reviewers can interact with your visualizations and judge your design instincts directly.
Apply early to roles that fit
Migrate Mate lists data visualization engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by data stack, not just title
Job titles vary wildly: data visualization engineer, BI developer, analytics engineer, and data storyteller often describe identical work. Search by tool, D3.js developer, Tableau engineer, and you'll surface roles that match your skills even when the title doesn't.
Prepare a design-rationale walkthrough
Interviewers frequently ask you to present a past project and defend your visual choices. Practice explaining why you chose a specific chart type, color scheme, or interaction pattern, because the reasoning behind your decisions matters as much as the finished output.
Negotiate by scoping the data infrastructure
Before accepting an offer, ask whether a data warehouse and clean pipelines are already in place or whether you'll be building from raw, messy sources. The answer affects how much of your time goes to wrangling versus visualization, and that scope difference justifies a compensation conversation.
Data Visualization Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most data visualization engineers?
The companies hiring the most data visualization engineers right now include Thermo Fisher Scientific, Booz Allen Hamilton, and Guardians of Honor, with the largest share of openings in Virginia, New York, and Maryland, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in technology, financial services, and healthcare analytics teams.
How many data visualization engineer jobs are remote?
About 57% of data visualization engineer openings are fully remote or hybrid as of November 2026, reflecting the role's output-driven nature. Dashboard development and BI reporting work tend to be the most remote-friendly sub-areas, while embedded analytics roles tied to product teams more often require in-office or hybrid presence.
How do you become a data visualization engineer?
Start by building proficiency in SQL and at least one visualization platform such as Tableau or Power BI, then learn a JavaScript charting library to handle custom web-based work. Build a portfolio of projects using real, publicly available datasets. Practice translating ambiguous business questions into clean visual formats, because that design judgment is what separates strong candidates from people who only know the tools.
How do you get a data visualization engineer job with little experience?
Focus on building a public portfolio rather than chasing credentials. Reproduce well-known charts from scratch using D3.js or Vega-Lite to demonstrate technical depth, and document your design decisions in writing alongside each project. Roles titled junior BI developer or analytics associate often share the same skill set and serve as a practical entry point before moving into dedicated visualization engineering work.
What does the data visualization engineer interview process look like?
Most processes run three to four stages. An initial recruiter screen is followed by a technical assessment, usually a take-home exercise asking you to build or redesign a chart with a provided dataset. A live technical round tests your SQL and tool proficiency through practical problems. A final stage typically involves presenting a past project to a panel and defending your visual design choices in detail.
Where can I find and apply to data visualization engineer jobs?
You can find and apply to data visualization engineer jobs on Migrate Mate, which lists current openings from companies across the United States. Search for roles that match your stack and experience level, then apply directly to each listing that fits. All the active openings are on this page, so start by scanning what's available right now.
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