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Data Visualization Jobs in Buffalo, NY (NOW HIRING)

EnthuZiastic

Growth Hacker - Remote

Buffalo, NY · Remote

Familiarity with marketing automation tools, A/B testing platforms, web analytics, and data visualization tools. Creativity: * Ability to think creatively and develop unique strategies to achieve ...

EnthuZiastic

Growth Hacker - Remote

Buffalo, NY · On-site

Familiarity with marketing automation tools, A/B testing platforms, web analytics, and data visualization tools. Creativity: * Ability to think creatively and develop unique strategies to achieve ...

Unchain Data

Data & Indexing Engineer

Buffalo, NY · On-site

$150 - $200/hr

About the Role Every score Thority publishes rests on data being correct and current. You will build the pipelines that pull contract and permission state across chains and keep them fast, accurate ...

M&T Bank

Financial Analyst III - Controller

Buffalo, NY · Hybrid

$74K - $124K/yr

Data visualization or data querying applications are a plus.) Experience strongly preferred: Treasury CPA Derivatives ALM Financial modeling Hedging Detail oriented, with advanced problem-solving ...

Varsity Tutors

Microsoft Excel Tutor

Buffalo, NY · Remote

$18 - $40/hr

Deep knowledge of spreadsheet design, formulas and functions including VLOOKUP, INDEX-MATCH, IF, SUMIFS, and array formulas, pivot tables, data visualization with charts, conditional formatting, data ...

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Showing results 41-60

All JobsData Visualization JobsData Visualization Jobs in Buffalo, NY

Data Visualization information

See Buffalo, NY salary details

$52.3K

$106K

$156.4K

How much do data visualization jobs pay per year?

As of Sep 7, 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.
More about Data Visualization jobs

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 are popular job titles related to Data Visualization jobs in Buffalo, NY?

For Data Visualization jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Data Visualization jobs in Buffalo, NY look for?

The top searched job categories for 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:

Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Buffalo, NY as of August 2026, with employment types broken down into 80% Full Time, 5% Part Time, 5% Temporary, and 10% Contract. Highlights an 85% In-person, 10% Hybrid, and 5% Remote job distribution, with an average salary of $106,021 per year, or $51 per hour.

Customer Success Specialist

Managed Staffing

Buffalo, NY • On-site

Contractor

Re-posted yesterday

Job description

Job Information

Job Taxonomy:

Customer Specialist

Job Title:

Customer Success Specialist_DSD

Job Category:

Admin/Professional

Fulfillment Process:

Standard

Job Description:

PURPOSE STATEMENT:

To ensure exceptional customer satisfaction and operational efficiency by serving as the primary liaison between the Field Operations team and customers serviced through the Direct Store Delivery (DSD) distribution model. This position is dedicated to enhancing the customer experience through proactive support, timely issue resolution, and data-driven service insights. The individual in this role will play a critical part in analyzing data and collaborating with cross-functional teams to continuously optimize DSD processes.

MAJOR RESPONSIBILITIES:

1.       DSD Customer Relationship Management (40%):

a.       Generate and manage replenishment order data across the DSD route network.

b.       Act as the primary contact for DSD and warehouse model customers.

c.       Build strong relationships with DSD Operations and Sales stakeholders.

2.       Cross-functional Collaboration (25%):

a.       Address and resolve customer issues related to DSD operations.

b.       Partner with technical and product teams to solve DSD-specific challenges.

c.       Ensure alignment across Warehouse, Operations, Sales, and Planning teams.

3.       Data Analysis and Reporting (15%):

a.       Analyze customer data to identify service improvement opportunities.

b.       Present regular reports on DSD customer service metrics.

4.       Performance Optimization (10%):

a.       Collaborate with DSD customers to optimize inventory mix and coverage.

b.       Provide strategic recommendations to enhance operational efficiency.

5.       Continuous Improvement (10%):

a.       Propose process enhancements to improve customer satisfaction within the DSD framework.

Skills/Experience:

Key Skills & Competencies:

       Customer-Centric Mindset: Passion for delivering exceptional service and building long-term customer relationships.

       Analytical Thinking: Ability to interpret data, identify trends, and make data-driven decisions.

       Problem Solving: Strong troubleshooting skills with a proactive approach to resolving issues.

       Communication: Clear and effective verbal and written communication across teams and with customers.

       Collaboration: Skilled in working cross-functionally with diverse teams to achieve shared goals.

       Technical Proficiency: Advanced Excel skills (pivot tables, formulas, data visualization); familiarity with CRM and supply chain platforms.

       Adaptability: Comfortable working in a fast-paced, evolving environment with shifting priorities.

       Attention to Detail: High level of accuracy in managing data and customer interactions.

       Time Management: Ability to prioritize tasks and manage multiple responsibilities efficiently.

Required Skills:

KNOWLEDGE/SKILLS/EXPERIENCE:

       Bachelor's degree in Business, Supply Chain Management, or a related field (preferred).

       2+ years of experience in Customer Success/Service or Account Management, preferably in DSD or Supply Chain.

       Intermediate/Expert proficiency in Microsoft Excel.

       Solid understanding of supply chain, logistics, and inventory management.

Desired Skills:

Ability to work overtime as needed, no travel required.  This is a temporary assignment, estimated contract length is 5 months.  It is a full time role working M-F 8am to 5pm.  Interviews are required for this role.  The hiring manager is open to having the interview in-person,  phone or video. 

Degree Requirements:

 

Certification Requirements:

 

Details

Worksite:

Buffalo-WHQ

Worksite Location:

1 Robert Rich Way, Buffalo, NY, 14213

Worksite State:

New York

Worksite Code:

P089

Worksite Address Override:

No

Time Schedule:

5/40

Start/End Date:

09/15/2025 to 02/15/2026