Data Visualization Specialist Jobs
Data Visualization Specialist jobs are open from entry-level to senior and lead across technology, healthcare, finance, and consulting, with specializations in business intelligence, dashboard development, and geospatial analytics. See the openings below and apply to the ones that match your experience.
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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 Specialist 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 specialist jobs.
- Proficiency in Tableau or Power BI with demonstrated dashboard development experience
- Ability to write SQL queries to extract, transform, and prepare data for visualization
- Experience translating business requirements into clear, audience-ready visual outputs
- Familiarity with Python or R for data manipulation and custom chart development
- Bachelor's degree in data science, statistics, computer science, or a related field
- Knowledge of data storytelling principles and UX best practices for dashboards
Tips for Your Data Visualization Specialist Job Search
Tailor your portfolio for each role
Hiring managers for data visualization specialist roles expect a portfolio that reflects the industry they're in. If you're applying to a healthcare company, lead with dashboards built on clinical or operational data, not generic sales funnels.
Show tool depth, not just breadth
Most job descriptions list Tableau, Power BI, and D3.js, but employers want to see which tool you've pushed furthest. Pick one and demonstrate an advanced use case in your resume, like custom calculated fields, API integrations, or animated storytelling.
Apply early to roles that fit
Migrate Mate lists data visualization specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job titles that match your specialty
Data visualization roles are posted under many titles, including BI developer, data analyst, and reporting engineer. Search across variations so you don't miss openings that match your skills but use a different title.
Prep a live walkthrough for technical interviews
Many data visualization specialist interviews include a take-home or live coding exercise using real or sample data. Practice narrating your design decisions out loud, specifically why you chose a chart type and how the layout guides the viewer's attention.
Negotiate scope, not just compensation
When you receive an offer, ask about the data infrastructure you'll be working with and whether a design system exists. These details affect day-to-day work quality and are easier to clarify before you accept than after.
Data Visualization Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most data visualization specialists?
The companies hiring the most data visualization specialists 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 organizations.
How many data visualization specialist jobs are remote?
About 57% of data visualization specialist openings are fully remote or hybrid as of November 2026, reflecting the screen-based, collaborative nature of the work. Roles focused on self-service reporting tools and cloud-based BI platforms tend to be the most remote-friendly, while positions requiring on-site stakeholder workshops are more likely to require some in-person presence.
How do you become a data visualization specialist?
Start by building a foundation in data analysis, learning SQL and at least one visualization tool like Tableau or Power BI. Next, develop a portfolio of projects that show you can turn raw data into clear visual stories. Courses in data design principles and hands-on practice with real datasets round out the skill set employers look for.
Can you get a data visualization specialist job with little experience?
Yes, entry-level data visualization specialist roles exist, particularly at companies that prioritize portfolio work over years of experience. Building dashboards using public datasets, contributing to open-source projects, or completing a capstone in a data program all serve as credible substitutes for professional experience when applying to junior-level openings.
What does the data visualization specialist interview process look like?
Most processes start with a recruiter screen, followed by a technical interview that tests SQL, tool proficiency, and your ability to interpret a dataset. A take-home or live design exercise is common, where you build a dashboard and walk the panel through your choices. Final rounds often include a stakeholder or hiring manager conversation focused on how you communicate data insights to non-technical audiences.
Where can I find and apply to data visualization specialist jobs?
You can find and apply to data visualization specialist jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that fit your experience level and specialization, then apply directly to each listing that matches what you're looking for.
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