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Senior Data Visualization Jobs in New York (NOW HIRING)

Sr. Data Analyst (Sales)

Manhattan, NY · On-site +1

$94K - $119K/yr

Data Visualization: Develop and maintain automated Tableau dashboards that provide real-time ... Ability to influence senior leaders and drive cross-functional alignment. Requirements * Education:

Senior Data Analyst Location: New York, NY Clearance Requirements: Not Applicable, No Pay Rate: $55 ... API development and data visualization skills with Power BI or Tableau * Microsoft Office Suite ...

Senior Data Analyst - Commercial

New York, NY · On-site

$94K - $118K/yr

Senior Data Analyst - Commercial At Capital One, data is at the center of everything we do. When we ... At least 1 year of experience utilizing business intelligence visualization tool * At least 1 year ...

Senior Data Analyst - Commercial At Capital One, data is at the center of everything we do. When we ... At least 1 year of experience utilizing business intelligence visualization tool * At least 1 year ...

Senior Data Analyst

New York, NY · On-site

$94K - $118K/yr

Who You Are We're looking for a Senior Data Analyst to join ShopMy's growing data team. This role ... Strong experience with business intelligence tools, data modeling, and data visualization

We are seeking a Senior Data Scientist with experience manipulating large 2D and 3D media datasets ... Data Visualization: Familiarity with data visualization and inspection tools specifically designed ...

Senior Data Engineer

New York, NY · On-site +1

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... visualization tools. * Database Processing and Management * Oversee complex data extraction ...

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Senior Data Visualization information

What is the difference between Senior Data Visualization vs Data Analyst?

AspectSenior Data VisualizationData Analyst
Required SkillsAdvanced data visualization tools, storytelling, designData manipulation, basic visualization, statistical analysis
Work EnvironmentDesign-focused, cross-functional teamsData-focused, business intelligence teams
CertificationsData visualization tools (Tableau, Power BI)Excel, SQL, basic analytics certifications

Senior Data Visualization roles focus on creating compelling visual stories from complex data, often requiring advanced design and storytelling skills. Data Analysts perform broader data analysis, including data cleaning, statistical analysis, and reporting. While both roles work with data, Senior Data Visualization emphasizes visual communication, whereas Data Analysts focus on data interpretation and insights.

Is data visualization in high demand?

Data visualization is in high demand across industries as organizations seek to interpret large data sets effectively. Senior data visualization professionals with skills in tools like Tableau, Power BI, or D3.js are increasingly sought after to support data-driven decision making.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It offers opportunities across industries, often requiring strong analytical skills and knowledge of data tools, with demand expected to grow as organizations rely more on data-driven decision making.

What is a Senior Data Visualization specialist?

A Senior Data Visualization specialist is an experienced professional who designs, builds, and manages advanced visual representations of data to help organizations make informed decisions. They work with complex datasets, use tools like Tableau, Power BI, or D3.js, and collaborate with data analysts, engineers, and business stakeholders. Their responsibilities often include translating data insights into clear dashboards, interactive reports, and visual stories that communicate trends, patterns, and actionable intelligence. In addition to technical skills, they often mentor junior team members and contribute to setting best practices in visualization and data storytelling.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data visualization professional or entering data science. Many individuals successfully transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data tools, often through online courses or certifications. Experience, continuous learning, and a strong portfolio are more important than age in this field.

What are some common challenges faced by Senior Data Visualization professionals when collaborating with non-technical stakeholders?

Senior Data Visualization professionals often encounter challenges when translating complex data insights into visuals that are easily understood by non-technical stakeholders. It’s crucial to balance accuracy and clarity, ensuring that visuals tell a compelling story without overwhelming the audience with technical jargon. Effective communication and active listening are key, as is iterating on visual prototypes based on stakeholder feedback. Building strong relationships with cross-functional teams helps ensure that the final product meets both business objectives and user needs.

What are the key skills and qualifications needed to thrive as a Senior Data Visualization specialist, and why are they important?

To excel as a Senior Data Visualization specialist, you need expertise in data analysis, design principles, and proficiency with data visualization concepts, usually backed by a degree in data science, statistics, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and programming languages such as Python or R is commonly required. Strong communication, storytelling ability, and attention to detail are crucial soft skills for conveying complex data insights to diverse audiences. These competencies ensure that data-driven findings are accessible, actionable, and valuable to stakeholders across the organization.

Will AI replace data analyst?

AI tools can automate routine data processing and visualization tasks, but senior data visualization professionals are essential for interpreting complex data, designing effective visualizations, and providing strategic insights. AI complements these roles by enhancing efficiency, but human expertise remains critical for nuanced analysis and decision-making. Skills in data storytelling and proficiency with visualization software like Tableau or Power BI are valuable in this evolving environment.
What are the most commonly searched types of Data Visualization jobs in New York? The most popular types of Data Visualization jobs in New York are:
What are popular job titles related to Senior Data Visualization jobs in New York? For Senior Data Visualization jobs in New York, the most frequently searched job titles are:
What job categories do people searching Senior Data Visualization jobs in New York look for? The top searched job categories for Senior Data Visualization jobs in New York are:
What cities in New York are hiring for Senior Data Visualization jobs? Cities in New York with the most Senior Data Visualization job openings:
Infographic showing various Senior Data Visualization job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Sr. Data Analyst (Sales)

Sr. Data Analyst (Sales)

VAST Data

Manhattan, NY • On-site, Remote

$94K - $119K/yr

Full-time

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


Job description

Description
VAST Data is looking for a Sr. Data Analyst Sales to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
Overview:
VAST is seeking a Sr. Data Analyst Sales to join our growing analytics team. The Sr. Data Analyst will provide strategic recommendations (not just data findings) that directly influence business decisions and company strategy. The role will be fully aligned with Sales and Revenue Operations (RevOps) to develop analytical solutions that improve reporting systems, data quality, and processes. This role will drive consistency across the sales org, not just produce reports. The Sr. Data Analyst will manage multiple stakeholders and present to Sales leadership at all levels of the organization.
With a focus on Sales analytics, the ideal candidate has a strong understanding of Sales processes, organizational structures, best practices, and strategies. This role requires a deep understanding of SFDC data schema (Accounts, Leads, Opportunities). The Sr. Data Analyst will build and maintain metrics used across a global sales organization to improve performance. Knowledge of sales and RevOps definitions (pipeline, commit, stage criteria, quote to cash steps, lead to order, sales ops metrics, etc.) is expected. The role will be responsible for building data models behind operational metrics, using SQL. The role will create visually compelling dashboards in Tableau that deliver timely insights that enable course correction, change behaviors, and improve outcomes.
As a Sr. Data Analyst, this position will play a key role in transforming data into actionable insights that improve business outcomes. The analyst is expected to deliver in a fast-paced, dynamic environment while also ensuring accuracy and reliability of analytics. The Sr. Data Analyst will lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting linked to strategic business outcomes. We are seeking an analyst that can tell stories with data and deliver actionable recommendations that our stakeholders use to make change within their organizations.
Essential Duties and Responsibilities
  • Strategic Leadership: Translates high-level business problems and questions into specific, measurable analytics, metrics, and visualizations
  • Project Ownership: Leads analytical projects end-to-end with minimal supervision, including defining scope, methodology, execution, and delivery
  • Mentorship: Provide guidance and analytical support to junior analysts. Conduct peer review of code, analysis, and reports to ensure accuracy and quality
  • Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes
  • Strategic Analysis: Design, implement, and maintain metrics, moving beyond basic reporting to establish predictive performance indicators
  • Data Visualization: Develop and maintain automated Tableau dashboards that provide real-time visibility into the health of Sales
  • Data Management: Ensure the accuracy of data through regular audits and process improvement efforts. Works to improve the integrity of our data
  • Stakeholder Management: Act as a primary liaison between the analytics team and business function. Ability to influence senior leaders and drive cross-functional alignment.

Requirements
  • Education: Masters degree in Business, Business Analytics, Computer Science, Data Science or a related field preferred
  • Experience: 5+ years as a data analyst with experience in sales analytics, commercial operations, FP&A, or business intelligence
  • Programming Languages: Proven expertise in advanced SQL for data extraction and manipulation required
  • Visualization Tools: Expert in Tableau for dashboard creation, data visualization, and data storytelling required
  • Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
  • Domain Expertise: Knowledge of SFDC data, schemas, and processes required. Knowledge of sales and RevOps metrics and definitions is expected
  • Travel: Minimal travel required (approximately 10% or less annually)

Qualifications
  • A relentless drive and a customer-first mentality are essential.
  • The ability to deliver quickly on requests, shortening development cycles and iterations
  • An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
  • The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
  • Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
  • The ability to convey complex data insights clearly and effectively to both technical and non-technical stakeholders.
  • Ability to manage multiple projects and deadlines with prioritizing tasks.
  • Ability to thrive in a culture of transparency and direct feedback.