Data Visualization Analyst Jobs
Data Visualization Analyst jobs are open across technology, healthcare, finance, and consulting, from entry-level to senior and lead roles, with specializations in business intelligence, data storytelling, and dashboard development. Find a role that fits below and apply directly.
Find JobsLooking for remote work? View remote data visualization analyst jobs →Overview
Showing 5 of 97+ Data Visualization Analyst jobs











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
See All 97 Data Visualization Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsData Visualization Analyst 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 analyst jobs.
- Proficiency in Tableau, Power BI, or Looker with a demonstrable project portfolio
- Experience writing SQL queries to extract and transform data from relational databases
- Bachelor's degree in data science, statistics, computer science, or a related field
- Ability to translate ambiguous business questions into clear visual narratives for non-technical stakeholders
- Familiarity with Python or R for data preparation and exploratory analysis
- Experience connecting visualization tools to cloud data warehouses such as Snowflake, BigQuery, or Redshift
Tips for Your Data Visualization Analyst Job Search
Tailor your portfolio to business impact
Hiring managers want to see dashboards that drove a decision, not just ones that look polished. For each project, label the business question it answered and the outcome that followed. Generic Tableau or Power BI screenshots won't stand out.
Match your tool stack to the posting
Job listings for this role split hard between Tableau, Power BI, and Looker shops. Read the requirements carefully and lead with the specific tool the employer named. Burying your primary tool on page two of your resume costs you screener calls.
Apply early to roles that fit
Migrate Mate lists data visualization analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight data wrangling alongside visual skills
Many candidates present only the front-end deliverable. Calling out your SQL, Python, or dbt work upstream of the visualization signals you can own the full pipeline, not just the chart layer, which separates you at the resume screen.
Prepare a live walkthrough for interviews
Most technical interviews for this role ask you to walk through a dashboard you built. Have a hosted, shareable version ready before you apply. A broken link or a screenshot-only deck on the day of the interview reads as unpreparedness.
Negotiate scope alongside compensation
Data visualization analysts often get scope-creeped into full data engineering work post-hire. During the offer stage, ask directly which teams you'll serve and who owns the data pipeline upstream. Vague answers now become unpaid overtime later.
Data Visualization Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most data visualization analysts?
The companies hiring the most data visualization analysts 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 strongest in technology, healthcare systems, and financial services firms with large internal analytics teams.
How many data visualization analyst jobs are remote?
About 57% of data visualization analyst openings are fully remote or hybrid as of November 2026, reflecting the inherently digital nature of the work. Roles focused on self-service dashboard development and business intelligence reporting tend to be the most remote-friendly, while positions embedded in operations or clinical teams more often require on-site presence.
How do you become a data visualization analyst?
Start by building proficiency in at least one major visualization platform, Tableau, Power BI, or Looker, through self-guided projects using publicly available datasets. Pair that with foundational SQL skills so you can pull and shape data independently. Assemble a portfolio of dashboards that answer real business questions, then target analyst or business intelligence roles that match your current tool stack. Many practitioners move into the role from adjacent positions in data analytics, reporting, or business operations.
Can I get hired as a data visualization analyst without much experience?
Yes, but your portfolio does the work your resume can't. Build three to five dashboards on public datasets covering domains employers care about, such as sales performance, operational metrics, or financial trends. Contribute to open data projects or build a public profile on community platforms to demonstrate initiative. Entry-level roles frequently go to candidates who show strong visual judgment and clean SQL over those with longer resumes but weaker portfolios.
What does the data visualization analyst interview process look like?
Most processes run three to four stages. A recruiter screen covers your background and tool experience. A technical round asks you to walk through a dashboard you've built or complete a take-home exercise involving data cleaning and chart construction. A stakeholder or hiring manager round tests how you translate a vague business problem into a visual output. Final rounds often include a panel with an analyst peer and a product or operations stakeholder who will use your work.
Where can I find and apply to data visualization analyst jobs?
You can find and apply to data visualization analyst jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your tool stack, industry preference, and seniority level, then apply directly to each listing from the same place.
See All 97 Data Visualization Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs