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

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All JobsData Visualization JobsData Visualization Manager JobsData Visualization Manager Jobs in Lockport, NY

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 Aug 15, 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 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 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 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:

Data Visualization Manager jobs near you

Senior Credit Model Development Analyst - Consumer Portfolio (Hybrid - see description for potential

M&T Bank

Buffalo, NY • On-site

Full-time

Re-posted 9 days ago

M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

79th of 171 rated banks

Job description

** Work Location/Arrangement: This is a hybrid position requiring in-office work four (4) days every week at an M&T office in Buffalo, NY, Bridgeport, CT, Wilmington, DE, Baltimore, MD, Washington, DC, Iselin, NJ, or possibly NY, NY.
*If the final candidate is not near one of the above referenced locations, there might be a possibility for a remote arrangement.
Overview:
Develops, implements, maintains and analyzes quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning. Provides independent contribution to team, including data analysis, model development efforts and ad-hoc analysis as appropriate. Provides guidance and direction to less experienced personnel.
Primary Responsibilities:
  • Research and develop quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models and financial instrument valuation methods.
  • Prepare, manage and analyze large customer loan, deposit and/or financial data sets for statistical analysis in Structured Query Language (SQL) or similar tool to properly specify and estimate econometric models to understand customer or Bank behavior for purposes of credit, interest rate, liquidity or stressed capital risk management. Understand the context of the Bank's data and businesses to ensure properly developed models.
  • Run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software; communicate results, including graphic and tabular forms, to fellow team members, Treasury management and Bank-wide stakeholders, including the business lines and Risk Management colleagues to demonstrate key risk drivers and dynamics of model output.
  • Execute models in production environment; communicate analytical results to Bank-wide stakeholders. Track portfolio performance, model performance, campaign tracking and risk strategy results. Incorporate observations and data into existing models to improve predictive results. Identify deviations from forecast/expectations and explain variances. Identify risk and/or opportunities.
  • Develop and maintain satisfactory model documentation, including process narratives and performance monitoring guidelines to serve as reference source.
  • Provide financial analysis and data support to other groups/departments across the Bank as required. Support engagements with colleagues in Model Risk Management for model validation exercises.
  • Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and development and management of predictive statistical models.
  • Conduct business in compliance with regulatory guidance including SR (Supervision and Regulation Letters) 10-1, SR 10-6, SR 11-7, Enhanced Prudential Standards, etc. Adhere to applicable compliance/operational/model risk controls and other second line of defense and regulatory standards, policies and procedures.
  • 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.

Scope of Responsibilities:
The position serves as senior analyst in the use of statistical programming languages to analyze Bank datasets and develop, implement and maintain behavioral models. It is important for the position to communicate with clear narratives, compelling data visualization and technical precision, both in-person and in writing, to enable audiences to understand analysis and forecasts. The position partners and collaborates with colleagues in related functions, including Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management and business lines to develop, implement and understand models for Bank use. The position may lead team-based projects related to model development or implementation. This role is highly technical in nature and requires demonstrated attention to detail, execution and follow-up on multiple initiatives with Treasury and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions is a key factor of success in this role.
Supervisory/Managerial Responsibilities:
Not Applicable
Education and Experience Required:
  • Bachelor's degree and a minimum of 2 years' proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 6 years' higher education and/or work experience, including a minimum of 2 years' proven quantitative behavioral modeling experience
  • Minimum of 2 years' on-the-job experience with Python.
  • Model Development experience, including credit model development experience, is required.
  • Logistic Regression experience required.
  • Minimum of 2 years' on-the-job experience with data management environment, such as SQL Server Management Studio
  • Minimum of 2 years' experience analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs

Education and Experience Preferred:
  • Masters of Science or Doctorate degree in Statistics, Economics, Finance, or related field in the quantitative social, physical, or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance, or risk management
  • Experience in consumer credit model development, for example: underwriting scorecards, account management models, loss forecasting models.
  • Three (3) or more years' statistical analysis programming experience, including Python experience.
  • Fluency and high proficiency in econometric/statistical techniques, especially logistic regression, (required) survival analysis, time-series analysis (EDIT)
  • Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management
  • Proven track record for being able to work autonomously and within a team environment
  • Demonstrated leadership skills
  • Strong desire to learn and contribute to a group

Physical Requirements:
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $85,800.00 - $143,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Buffalo, New York, United States of America

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