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Data Visualization Analyst Jobs in Raleigh, NC (NOW HIRING)

Sr. Data Analyst, Worldwide Support

Durham, NC · On-site

$83.10K - $104.80K/yr

Promote best practices in analytics, data visualization, and governance What You Will Bring Required Qualifications * Bachelor's degree in Computer Science, Economics/Business, Statistics ...

Sr Data Analyst

Raleigh, NC · Hybrid

$89.99K - $143.09K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Highly proficient in data visualization tools (PowerBI/Tableau). Experience in management reporting ...

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Data Scientist

Durham, NC · Remote

$51 - $58/hr

We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis, and data visualization who are excited about supporting impactful public ...

We are seeking a Data Analyst & Power BI Coordinator to join the Global Sales Operations team. This ... Experience with data visualization best practice and techniques * Provide technical expertise in ...

... is looking for a Data Analyst Intern to join our Federal Team for Summer 2026. The selected ... Familiarity with data visualization tools is preferred. Qualifications * Currently enrolled in an ...

... is looking for a Data Analyst Intern to join our Federal Team for Summer 2026. The selected ... Familiarity with data visualization tools is preferred. Qualifications * Currently enrolled in an ...

... is looking for a Data Analyst Intern to join our Federal Team for Summer 2026. The selected ... Familiarity with data visualization tools is preferred. Qualifications * Currently enrolled in an ...

Samet is seeking a Power BI Analyst to help promote business operations. The Business Intelligence ... Experienced with a data visualization tool such as Power BI, Tableau, or Looker, including: * Able ...

New

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

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Data Visualization Analyst information

See Raleigh, NC salary details

$33K

$80.3K

$132.2K

How much do data visualization analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for data visualization analyst in Raleigh, NC is $80,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is a Data Visualization Analyst job?

A Data Visualization Analyst is responsible for transforming complex data sets into clear, engaging visual representations that help stakeholders make data-driven decisions. They use tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to create charts, graphs, and dashboards. Their role combines data analysis, storytelling, and design principles to present insights effectively. They collaborate with data scientists, business analysts, and decision-makers to ensure data is accurately represented and actionable.

What are the key skills and qualifications needed to thrive in the Data Visualization Analyst position, and why are they important?

To thrive as a Data Visualization Analyst, you need strong analytical skills, experience in data interpretation, and a relevant degree in fields such as statistics, computer science, or information systems. Proficiency with visualization tools like Tableau, Power BI, or D3.js, as well as knowledge of SQL and Excel, is highly valued, and certifications in these platforms can enhance your qualifications. Excellent communication, attention to detail, and a collaborative mindset help you translate complex data into meaningful visual stories for stakeholders. These abilities are essential to ensure data-driven decisions are clearly understood and actionable across various departments.

What are the typical daily responsibilities of a Data Visualization Analyst?

As a Data Visualization Analyst, your day typically involves collecting, cleaning, and organizing data from various sources, followed by designing and creating dashboards or reports that convey insights to both technical and non-technical stakeholders. You’ll collaborate closely with data engineers, business analysts, and department leaders to understand their needs and tailor visualizations accordingly. Regularly, you will review and update dashboards to ensure data accuracy and relevancy, and may also provide training or support to colleagues on interpreting and using visual tools. This role offers a dynamic work environment where problem-solving and creativity are key to turning complex datasets into clear, actionable information.
What are the most commonly searched types of Data Visualization Analyst jobs in Raleigh, NC? The most popular types of Data Visualization Analyst jobs in Raleigh, NC are:
What job categories do people searching Data Visualization Analyst jobs in Raleigh, NC look for? The top searched job categories for Data Visualization Analyst jobs in Raleigh, NC are:
Infographic showing various Data Visualization Analyst job openings in Raleigh, NC as of May 2026, with employment types broken down into 1% Internship, 4% As Needed, 16% Full Time, 74% Part Time, 3% Temporary, and 2% Contract. Highlights an 35% Physical, 55% Hybrid, and 10% Remote job distribution, with an average salary of $80,328 per year, or $38.6 per hour.
Sr. Data Analyst, Worldwide Support

Sr. Data Analyst, Worldwide Support

Nutanix

Durham, NC • On-site

$83.10K - $104.80K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Hungry, Humble, Honest, with Heart.
The Opportunity
We are seeking an analytical and business-minded Senior Support Data Analyst to join our Global Support Organization. This role focuses on transforming complex support data into actionable insights that improve customer experience, operational efficiency, and strategic decision-making.
The ideal candidate combines strong analytical rigor with hands-on experience in operational data, experience partnering with Product Managers to improve the supportability of products, and a passion for clear, compelling data visualization.
About the Team
The Support Analytics and Operations team manages the analytics, reporting, and product oversight that keep the Nutanix Support organization running. As a multi-disciplinary team of analysts, we pride ourselves on being trusted advisors who provide the clarity leadership needs to make informed decisions.
Your Role
Product Supportability Analytics
  • Partner with product managers to turn support noise into product signals by clustering issues into meaningful categories, quantify impacts and identify patterns
  • Perform root cause analysis to drive actionable product changes that will improve the customer experience
  • Identify opportunities to embed support insights into the product lifecycle, improving self-service and driving case deflection
  • Quantify the impact of product improvements

Technical Support & Operations Analytics
  • Analyze technical support data to identify trends in case volume, backlog, resolution time, escalations, and customer experience
  • Segment and diagnose performance by factors such as issue type, priority, product, region, support tier, and ownership
  • Define, maintain, and evolve operational KPIs and performance metrics
  • Identify risks and opportunities related to workload, service levels, and customer outcomes

Data Visualization & Analytical Storytelling
  • Design and maintain interactive dashboards and reports using enterprise visualization tools
  • Create visualizations that emphasize trends, drivers, and leading indicators rather than static metrics
  • Translate complex analyses into clear, executive-ready narratives
  • Tailor insights and visualizations for different audiences, from operational leaders to executives

Data Querying & Analytics Enablement
  • Extract, transform, and analyze support data using SQL and analytics platforms
  • Partner with data science teams to support data models, transformations, and integrations
  • Understand data refresh cycles, latency, and lineage to ensure reliable and trusted reporting

Business Partnership & Influence
  • Partner with Support leadership to understand business questions and priorities
  • Proactively identify opportunities to improve operational performance through data
  • Present insights and recommendations to stakeholders across levels and functions
  • Act as a trusted analytical advisor to leadership

Governance, Quality, & Continuous Improvement
  • Establish and document metric definitions and reporting standards
  • Ensure consistency and accuracy across dashboards and reports
  • Improve analytical frameworks as business needs and Support operations evolve
  • Promote best practices in analytics, data visualization, and governance

What You Will Bring
Required Qualifications
  • Bachelor's degree in Computer Science, Economics/Business, Statistics, Mathematics, Data Science, Analytics, or a related field
  • 3+ years of experience in a data analytics role, ideally supporting a Support or Operations organization
  • Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker, or similar)
  • Proficiency in SQL for data extraction and analysis
  • Experience with Python or R for advanced modeling
  • Ability to work with large, complex datasets and draw meaningful conclusions
  • Strong communication skills with the ability to explain analytical findings to non-technical audiences
  • Ability to work effectively across global teams, with strong initiative to independently identify data owners, track down information, and build cross-functional relationships

Preferred Qualifications
  • Experience working with Engineering, Product, QA, Support, or Customer Success teams to improve product supportability
  • Experience with product telemetry, product usage data, or system health data
  • Experience analyzing case trends, defect trends, upgrade success/failure, product adoption, release quality, or customer-impact metrics
  • Understanding of enterprise software, infrastructure, cloud, SaaS, or platform products
  • Familiarity with support KPIs such as productivity, SLA attainment, backlog aging, TTR, NPS and CSAT
  • Exposure to data modeling, data warehousing concepts, or ETL processes
  • Experience influencing stakeholders and driving change through insights

Work Arrangement
Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.
The pay range for this position at commencement of employment is expected to be between USD $ 106,400 and USD $ 212,400 per year.
However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.
Nutanix is an equal opportunity employer.
Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job to be filled. We strive to foster an inclusive working environment that enables all our Nutants to be themselves and to do great work in a safe and welcoming environment, free of unlawful discrimination, intimidation or harassment. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need a reasonable accommodation, please let us know by contacting [email protected].