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Data Visualization Jobs in Buffalo, NY (NOW HIRING)

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Strong collaborator with expertise in translating business requirements into actionable strategies, delivering insights through data visualization, and driving process improvements. Adept at ...

Build, enhance, and troubleshoot reporting and monitoring solutions using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other approved analytics, cloud, and data visualization tools.

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Advanced Techniques & Visualization * Explore and implement advanced techniques like machine ... Have experience in data science with a focus on finance, economics, travel spend analytics, or ...

Utilize strong database skills to manage, query, and optimize data in various database systems, with a preference for Microsoft SQL Server. * Develop and maintain reporting and visualization ...

Showing results 21-40

Data Visualization information

See Buffalo, NY salary details

$52.3K

$106K

$156.4K

How much do data visualization jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data visualization in Buffalo, NY is $106,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $119,100.00 per year, depending on experience, location, and employer.

What is data visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

What are the key skills and qualifications needed to thrive as a data visualization specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What are some common challenges faced by professionals in data visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

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 requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in presenting insights effectively to stakeholders.

What are the most commonly searched types of Data Visualization jobs in Buffalo, NY?

The most popular types of Data Visualization jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Data Visualization jobs?

Cities near Buffalo, NY with the most Data Visualization job openings:

Infographic showing various Data Visualization job openings in Buffalo, NY as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, 5% Temporary, and 9% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $106,021 per year, or $51 per hour.

Data Scientist Sr. Manager - Consumer Markets

Pwc

Buffalo, NY

$91K - $321K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Clients & Markets

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Data Scientist Senior Manager - Consumer Markets, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Internal Firm Services practice, you will focus on developing and implementing innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Manager, you will apply your skills and influence to deliver quality results, motivating and coaching teams to solve complex problems. You will exercise sound judgment, recognizing when to take action and when to escalate, while fostering diverse and inclusive teams that contribute to the success of our firm.
In this role at PwC, you will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. You will validate outcomes with clients, share alternative perspectives, and act on feedback, demonstrating composure through ambiguous and challenging situations. Your commitment to excellence and ability to initiate open and honest coaching conversations at all levels will be key to resolving issues hindering team effectiveness and modeling professional standards.
Responsibilities
- Leading strategic initiatives to leverage data and analytics for informed decision-making
- Developing innovative solutions to optimize business performance and enhance competitive advantage
- Utilizing advanced analytics techniques to drive insights and support clients in achieving their strategic goals
- Building and maintaining relationships with stakeholders to identify and address data challenges
- Implementing business intelligence tools and cloud-based analytics platforms to enhance insights generation
- Directing teams through complex data analysis and interpretation to solve challenging problems
- Crafting and conveying clear, impactful messages that tell a holistic story
- Applying systems thinking to identify underlying problems and opportunities
- Validating outcomes with clients and acting on feedback to improve processes
- Promoting continuous process improvement and embracing change within teams
- Coaching and motivating teams to develop high-performing, diverse, and inclusive environments
- Initiating open and honest coaching conversations at all levels to foster growth and development
What You Must Have
- At least a High School Diploma or the equivalent degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Leveraging advanced skills in data visualization tools like QlikView and Spotfire
- Demonstrating proficiency in business intelligence development and reporting tools
- Applying analytical thinking to drive continuous process improvement
- Utilizing data architecture development to enhance data quality and pipeline efficiency
- Excelling in stakeholder engagement and strategic questioning for impactful decision-making
- Innovating through rapid experimentation and embracing change in dynamic environments

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $91,000 - $321,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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