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Senior Data Visualization Analyst Jobs in Massachusetts

Collaborate with senior data scientists to develop and improve our analytical platforms * Work ... Proficiency in statistical analysis and machine learning * Experience with data visualization and ...

Senior Data Scientist

Cambridge, MA · On-site

$150K - $166K/yr

Senior Data Scientist Location: Cambridge, MA / Hybrid (This role requires working in-office 3 days ... and data visualization * Demonstrated performance in building machine learning models using ...

Senior Data Scientist

Cambridge, MA · On-site

$150K - $166K/yr

Senior Data Scientist Location: Cambridge, MA / Hybrid (This role requires working in-office 3 days ... and data visualization * Demonstrated performance in building machine learning models using ...

Senior Data Scientist

Cambridge, MA · On-site

$150K - $166K/yr

Senior Data Scientist Location: Cambridge, MA / Hybrid (This role requires working in-office 3 days ... and data visualization * Demonstrated performance in building machine learning models using ...

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 ...

Our client is looking for a highly skilled and experienced candidate to fill the Senior Data ... Experience with designing and developing data visualization and analytical solutions * Experience ...

... to fill the Senior Data Quality Developer position within the Enterprise Data Management ... Experience with designing and developing data visualization and analytical solutions * Experience ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

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 Sep 6, 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 Scientist

PhaseV

Cambridge, MA • On-site

Full-time

Re-posted 4 days ago


Job description

Company Overview:
PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotechs, we are poised to make a significant impact on how drugs are developed and brought to market.
Position Overview:
We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will have a strong foundation in machine learning and statistics with an interest in causal inference. A couple of recent preprints we've released to get a sense of the challenges:
  • Causal Responder Detection (https://arxiv.org/abs/2406.17571)
  • Robust CATE Estimation Using Novel Ensemble Methods. (https://arxiv.org/abs/2407.03690)

Key Responsibilities:
Technical Development:
  • Implement and optimize ML algorithms, with a focus on causal ML applications in clinical trials
  • Collaborate with senior data scientists to develop and improve our analytical platforms
  • Work alongside clinical and biological experts to translate complex problems into technical solutions

Research & Analysis:
  • Conduct rigorous statistical analyses of both randomized and observational data
  • Develop and validate methods for responder identification and treatment effect estimation
  • Document and present methodologies and results for internal and external stakeholders

Collaboration:
  • Work cross-functionally with engineering and product teams
  • Contribute to technical discussions and peer code reviews
  • Support the preparation of technical documentation and research papers

Qualifications:
Education:
  • Master's in Computer Science, Statistics, Data Science, Engineering or a related field
  • Ph.D. is an advantage but not required

Experience:
  • 3+ years of experience in data science or machine learning roles
  • Experience with ML in a practical research or industry setting
  • Background in statistical modeling and analysis

Skills:
  • Strong programming skills in Python (R in addition - an advantage)
  • Proficiency in statistical analysis and machine learning
  • Experience with data visualization and communication of technical concepts
  • Strong analytical and problem-solving skills

Preferred:
  • Familiarity with causal inference concepts
  • Experience in healthcare or biotech industry
  • Experience with large-scale data processing

What We Offer:
  • Join us on a mission to bring more effective drugs to more patients.
  • The opportunity to work with an amazing team passionate about making a real-world impact.
  • Extremely hard and diverse problem setting, in which the team is pushing the envelope.
  • A collaborative and dynamic startup environment.
  • Professional growth and development opportunities.