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Senior Data Visualization Analyst Jobs in Massachusetts

Ameriprise Financial

Senior Data Scientist

Boston, MA · On-site

The individual in this role will support modeling, data analysis, and database needs for the ... Experience with statistical programming (SAS, R, Python, SQL etc.) & data visualization software in ...

Ameriprise Financial

Senior Data Scientist

Boston, MA · On-site

The individual in this role will support modeling, data analysis, and database needs for the ... Experience with statistical programming (SAS, R, Python, SQL etc.) & data visualization software in ...

Nestlé S.A.

Senior Data Scientist

Bridgewater, MA · On-site

$130 - $160/hr

Data Analysis & Modeling: Analyze large and complex datasets to identify patterns, build ... visualization for structured storytelling to drive impactful business decisions. * Developing ...

CEDENT

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

As a Senior Data Engineer, CASM Platform, you will: * Data Integration, API Development: Integrate ... Data Analytics & Visualization: Design centralized data models and perform in-depth data analysis ...

Saransh Inc

Data Modeler

Brighton, MA · On-site

$59.75 - $77.50/hr

Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics ...

Ra

Data Analyst

Boston, MA

You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You ... Senior Consultant. About our client: They are an equal opportunity employer and with value ...

National Grid

Senior Data Engineer

Waltham, MA · Hybrid

$133K - $156K/yr

The ideal candidate should have hands-on experience with ETL tools, strong data analysis skills ... Experience with SAP Systems and Databases Knowledge of data visualization tools, such as PowerBI or ...

Appex Innovation

Azure Data Architect - Snowflake

Boston, MA · On-site

$69.25 - $89/hr

Need a snowflake data architect with Azure Cloud Experience and Agentic AI, Senior Data Architect ... Collaborate with data engineers, analysts, and other stakeholders to gather requirements and ...

CYNET SYSTEMS

Safety Data Analyst

Boston, MA · On-site

$36 - $41/hr

Competency in data visualization best practices and translating raw data into accessible charts ... senior leadership. * Compile data, analyze, and prepare data packages for Safety Investigations to ...

New

Boseallaboutme

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

We are looking for Senior Data Scientist, ideally with a background in supply chain modeling and ... Explore large datasets using modeling, analysis, and visualization techniques. * Communicate ...

Xometry

Senior Data Scientist, Costing

Waltham, MA · Hybrid

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a ... Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ...

Appex Innovation

Azure Data Architect - Snowflake

Boston, MA · On-site

$69.25 - $89/hr

Need a snowflake data architect with Azure Cloud Experience and Agentic AI, Senior Data Architect ... Preferred Skills: • Experience with data visualization tools such as Tableau or Power BI. • ...

Vantage Point Consulting Inc.

Sr Data Analyst

Boston, MA · On-site

$93K - $117K/yr

Vantage Point Consulting Inc. is seeking highly skilled Data Engineers/Analysts to support the Discovery Phase of a large-scale legacy system modernization project. The role involves analyzing ...

Cedent

Senior Data Engineer (Boston, MA)

Boston, MA · On-site

$124K - $149K/yr

As a Senior Data Engineer, CASM Platform, you will: * Data Integration, API Development: Integrate ... Data Analytics & Visualization: Design centralized data models and perform in-depth data analysis ...

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Senior Data Visualization Analyst information

See Massachusetts salary details

$60.1K

$108.4K

$148K

How much do senior data visualization analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior data visualization analyst in Massachusetts is $108,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $118,500.00 per year, depending on experience, location, and employer.

What does a senior data visualization analyst do?

A Senior Data Visualization Analyst is responsible for transforming complex data sets into clear, visually engaging reports, dashboards, and presentations to help organizations make informed decisions. They use data visualization tools like Tableau, Power BI, or D3.js to create interactive visualizations and often collaborate with data scientists, business stakeholders, and IT teams. In addition to technical skills, they must understand business objectives to effectively communicate insights and trends through their visualizations.

How does a senior data visualization analyst typically collaborate with cross-functional teams to drive impactful business insights?

Senior Data Visualization Analysts often work closely with data scientists, business analysts, and key stakeholders to translate complex data into actionable visual stories. They lead the design and development of interactive dashboards and reports, ensuring that visualizations align with business objectives and user needs. Regular collaboration involves gathering requirements, iterating on prototypes, and presenting findings to both technical and non-technical audiences. This cross-functional teamwork is essential for delivering insights that support strategic decision-making and drive business outcomes.

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

To thrive as a Senior Data Visualization Analyst, you need advanced analytical skills, expertise in data interpretation, and a background in statistics or computer science, often supported by a relevant bachelor’s or master’s degree. Proficiency in data visualization tools like Tableau or Power BI, as well as knowledge of SQL and programming languages such as Python or R, is typically required. Strong communication, attention to detail, and the ability to translate complex data into actionable insights are essential soft skills. These skills are vital for transforming raw data into meaningful visual stories that support strategic business decision-making.

What are the most commonly searched types of Data Visualization Analyst jobs in Massachusetts?

The most popular types of Data Visualization Analyst jobs in Massachusetts are:

Senior Data Visualization Analyst jobs near you

Senior Data Scientist

Ameriprise Financial

Boston, MA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 7 days ago

Ameriprise rating

7.7

Company rating: 7.7 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

108th of 151 rated financial services

Job description

About Our Company
We're a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.
Job Description
Ameriprise Financial is looking to add a Senior Data Scientist to the team! The individual in this role will support modeling, data analysis, and database needs for the assigned line of business (Columbia Threadneedle Investments Asset Management). You will create large data sets, provide information-based decision logic and predictive modeling solutions, and translate modeling/analytic output into understandable/actionable business knowledge, insight and applications. You will demonstrate strong technical and problem-solving skills and support multiple projects.
Key Responsibilities
  • Develop and implement complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions to support Asset Management business objectives. May lead efforts on small-medium sized projects.
  • Perform dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation.
  • Monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results. Partner closely with leader and others to ensure proper delivery.
  • Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Help identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge.
  • Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.
  • Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise and business unit data governance polices and leaders.
  • Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices.

Required Qualifications
  • Master's degree
  • 1 to 3 years of relevant experience required
  • Knowledge of advanced statistical concepts and techniques; skilled in linear algebra.
  • Competence using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies.
  • Experience with statistical programming (SAS, R, Python, SQL etc.) & data visualization software in a data-rich environment.
  • Ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners.
  • Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.
  • Ability to work effectively in a collaborative team environment.

Preferred Qualifications
  • Ph.D.
  • Degree in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering, etc.)
  • Experience with big data technologies which may include Hadoop, Cloud Computing Environments (including container creation, management & deployment), Spark, Dataiku, Amazon SageMaker etc.
  • Background in asset management or financial services.

In-Office Collaboration
We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.
Visa Sponsorship
Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).
Base Pay Salary
The estimated base salary for this role is $78,700- $138,200/year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.
Full-Time/Part-Time
Full time
Exempt/Non-Exempt
Exempt
Job Family Group
Data
Line of Business
CSIRM Information Management
Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.
We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.

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About Ameriprise

Sourced by ZipRecruiter

At Ameriprise Financial, we're not just in the business of helping clients with their financial goals - we also help our advisors and employees reach their true potential by embracing an inclusive and collaborative culture. We celebrate the unique qualities and reward the contributions of our talented, passionate employees. If you're motivated and want to work for a strong, ethical company that cares about you and your community, take the next step with Ameriprise Financial.

Industry

Funds, trusts and financial programs

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

1894

Social media

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