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Data Visualization Manager Jobs in Lockport, NY (NOW HIRING)

ERP AI Engineer - Manager

Buffalo, NY · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Oracle Management Level Manager & Summary At PwC, our ... Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate ...

Budget Management: * Manage and allocate budgets effectively across various growth channels ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

Budget Management: * Manage and allocate budgets effectively across various growth channels ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

Identify risk-related issues needing escalation to management. * Promote an environment that ... Data visualization or data querying applications are a plus.) Experience strongly preferred:

Showing results 21-40

Data Visualization Manager information

See Lockport, NY salary details

$51K

$103.4K

$152.6K

How much do data visualization manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data visualization manager in Lockport, NY is $103,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $116,200.00 per year, depending on experience, location, and employer.

What does a data visualization manager do?

A Data Visualization Manager leads teams in designing and implementing visual representations of data to help organizations make informed decisions. They collaborate with data analysts, business stakeholders, and IT professionals to translate complex data sets into clear, actionable insights through dashboards, charts, and interactive reports. Their role also involves ensuring data accuracy, selecting appropriate visualization tools, and maintaining best practices in data storytelling. Additionally, they often provide guidance and training to team members on effective visualization techniques.

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

To thrive as a Data Visualization Manager, you need a strong foundation in data analysis, visualization techniques, and statistical knowledge, typically supported by a degree in data science, computer science, or a related field. Expertise in tools such as Tableau, Power BI, and programming languages like Python or R, as well as familiarity with data management systems, is highly valued. Exceptional communication, leadership, and problem-solving skills help bridge the gap between technical teams and business stakeholders. These abilities are crucial for transforming complex data into actionable insights that drive strategic decision-making.

What are some common challenges data visualization managers face when leading cross-functional projects?

Data Visualization Managers often navigate the challenge of aligning diverse teams, such as data analysts, designers, and business stakeholders, to ensure visualizations meet technical accuracy and business needs. Balancing the complexity of large datasets with the need for clear, actionable visuals can be demanding, especially when stakeholders have varying levels of data literacy. Effective communication, prioritizing user experience, and iterative feedback are crucial for overcoming these hurdles and delivering impactful visual solutions.

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

AspectData Visualization ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; experience in data visualization toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeads visualization teams, collaborates with stakeholders, manages projectsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firmsCommon in finance, healthcare, marketing, and research organizations

The Data Visualization Manager focuses on leading teams and overseeing visualization projects, while the Data Analyst primarily analyzes data and creates visual reports. Both roles require strong skills in data tools, but the manager role emphasizes leadership and project management, whereas the analyst role centers on data interpretation and reporting.

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

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

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

The top searched job categories for Data Visualization Manager jobs in Lockport, NY are:

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

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

Indirect Lending Quantitative Risk Analyst Lead

M&T Bank

Buffalo, NY • On-site

$103K - $171K/yr

Full-time

Re-posted 13 days ago


M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 187 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

Overview:

Perform advanced data and credit risk analysis to identify and quantify risks in M&T's $19B Indirect lending portfolios. Support unit (dept.) in data analysis, portfolio deep dives, and loss estimation activities. Provide oversight and credit risk expertise during effective challenge efforts.

Primary Responsibilities:
  • Lead Retail Quantitative Analysts in performing portfolio deep dives, asset quality monitoring, and interpreting data with a risk management focus with an understanding of business strategy.
  • Mentor and supervise the work of junior team members and assist in the development of their analytics acumen in areas such as segmentation analysis, logistic regression, decision trees and data visualization.
  • Demonstrated working knowledge of Credit Risk databases to provide data and analytical support to Senior Management.
  • Perform data manipulation and analysis using SQL, SAS and Microsoft Excel and present results and recommendations to Credit Risk Management.
  • Track portfolio performance and risk strategy results. Incorporate observations and data in to existing models to improve predictive results.
  • Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management.
  • Promote an environment that supports belonging and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
  • Complete other related duties as assigned.
Education and Experience Required:

Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline,
OR in lieu of degree,
A combined minimum of 9 years higher education and/or work experience to include a minimum of 5 years relevant experience.
-OR-
Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 3 years relevant experience,
OR in lieu of degree,
A combined minimum of 9 years higher education and/or work experience to include a minimum of 3 years relevant experience
Minimum of 5 years relevant experience
Banking or Financial Services experience.
Experience with SAS, SAS Enterprise Miner and other Statistical Software Packages.
Advanced Knowledge of SQL and Microsoft Office.
Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
Demonstrated ability to communicate complex concepts.
Demonstrated ability to manipulate and analyze data across large databases.

Education and Experience Preferred:

Credit Analysis experience

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $103,000.00 - $171,600.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBuffalo, New York, United States of America

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