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Senior Tableau Developer Jobs in Massachusetts (NOW HIRING)

Partner with Engineering and Data teams to validate data pipelines, telemetry, model outputs ... Strong skills in Power BI, Tableau, or similar tools for dashboard creation, reporting, measurement ...

The Senior Analytics Engineer will own the data and analytics strategy for secure payment card ... as Tableau, Looker, Mode, Hex, or similar platforms for building dashboards and reports. • ...

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Proven experience implementing SCAS, SAST, DAST/WAS, and secure DevOps practices within an SDLC ... Proficiency with analytics and visualization tools such as Databricks, Power BI, and Tableau to ...

This is a hands-on senior engineering role for someone who can build across modern web applications ... Experience integrating BI tools such as Sigma, Power BI, Tableau, or similar platforms * Strong SQL ...

Senior Engineer, Data Platform - AR

Boston, MA · On-site

$124K - $149K/yr

This is a hands-on senior engineering role for someone who can build across modern web applications ... Experience integrating BI tools such as Sigma, Power BI, Tableau, or similar platforms * Strong SQL ...

New

This is a hands-on senior engineering role for someone who can build across modern web applications ... Experience integrating BI tools such as Sigma, Power BI, Tableau, or similar platforms * Strong SQL ...

New

Sr. Financial Analyst

Charlton, MA · On-site

$91K - $113K/yr

Build and maintain dashboards (Power BI / Tableau) to translate data into actionable insights ... Bachelor's degree in Finance, Accounting, Business, Engineering, or related field * 5+ years of FP& ...

Sr. Financial Analyst

Charlton, MA · On-site

$91K - $113K/yr

Build and maintain dashboards (Power BI / Tableau) to translate data into actionable insights ... Bachelor's degree in Finance, Accounting, Business, Engineering, or related field * 5+ years of FP& ...

System Engineer (MBSE) SR Level

Lincoln, MA · On-site

$113K - $154K/yr

Model Based Systems Engineer- SR Level Lincoln, Mass Full Time- 4-5 days onsite - with flexible ... Experience working with data analytics tools such as Python, R, MATLAB, Tableau or Power BI

Senior Data & ML Ops Engineer

Boston, MA · On-site

$137K - $206K/yr

As a Senior Data & MLOps Engineer, you own the data and MLOps foundations - from ingestion to ... Certified DevOps Engineer Professional; AWS Certified Data Engineer * Experience with Tableau ...

Partner with Engineering and Data teams to validate data pipelines, telemetry, model outputs ... Strong skills in Power BI, Tableau, or similar tools for dashboard creation, reporting, measurement ...

Showing results 21-40

Senior Tableau Developer information

See Massachusetts salary details

$43

$76

$128

How much do senior tableau developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for senior tableau developer in Massachusetts is $76.86, according to ZipRecruiter salary data. Most workers in this role earn between $63.03 and $87.93 per hour, depending on experience, location, and employer.

What is the difference between Senior Tableau Developer vs Tableau Developer?

AspectSenior Tableau DeveloperTableau Developer
Required CredentialsTypically requires 3+ years experience, Tableau certifications, and advanced data skillsEntry to mid-level experience, basic Tableau certifications preferred
Work EnvironmentWorks on complex dashboards, data modeling, and mentoring teamsFocuses on creating dashboards, reports, and data visualization
Employer & Industry UsageUsed across industries like finance, healthcare, and retail for strategic insightsCommonly employed in similar industries for operational reporting

The main difference between a Senior Tableau Developer and a Tableau Developer lies in experience, complexity of tasks, and responsibilities. Senior professionals handle advanced data modeling, mentor teams, and work on strategic projects, while Tableau Developers focus on creating reports and dashboards. Both roles are vital in data-driven organizations, but the senior role requires more expertise and leadership skills.

What are the key skills and qualifications needed to thrive as a senior Tableau developer?

To thrive as a Senior Tableau Developer, you need advanced expertise in data visualization, analytics, and SQL, typically supported by a bachelor's degree in computer science, information systems, or a related field. Proficiency with Tableau Desktop, Tableau Server, and experience integrating with databases or BI tools are essential, with Tableau certification often preferred. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills are crucial for delivering impactful dashboards and driving data-informed decision-making across organizations.

What is a senior Tableau developer?

Senior Tableau Developers are experienced professionals who design, develop, and manage advanced data visualization solutions using Tableau software. They work closely with business stakeholders to understand data requirements and create interactive dashboards and reports that help drive strategic decisions. In addition to creating visualizations, they often mentor junior developers, optimize data models, and ensure data accuracy and security. Senior Tableau Developers also play a key role in troubleshooting technical issues and implementing best practices for data analytics within an organization.

What are some common challenges faced by senior Tableau developers when managing large-scale data visualizations, and how can they be addressed?

Senior Tableau Developers often encounter challenges with performance optimization and data accuracy when working on large-scale data visualizations. Managing complex datasets can lead to slow dashboard load times and difficulties in ensuring that visualizations remain accurate as data sources update. To address these challenges, developers typically leverage techniques such as data extract optimization, efficient use of calculated fields, and implementing filters strategically. Collaborating closely with data engineers and business analysts also helps ensure that data models align with end-user needs and organizational goals.
What are the most commonly searched types of Tableau Developer jobs in Massachusetts? The most popular types of Tableau Developer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Senior Tableau Developer jobs? Cities in Massachusetts with the most Senior Tableau Developer job openings:
What are popular job titles related to Senior Tableau Developer jobs in MA? For Senior Tableau Developer jobs in MA, the most frequently searched job titles are:
Infographic showing various Senior Tableau Developer job openings in Massachusetts as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $159,869 per year, or $76.9 per hour.

Senior Product Data Analyst

Azenta

Burlington, MA • On-site

Full-time

Re-posted 12 days ago


Azenta Life Sciences rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

65th of 120 rated laboratories


Job description

Azenta Inc.
At Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.
All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and Integrity

Job Title
Senior Product Data Analyst
Job Description
We are hiring a Senior AI Product Data Analyst to drive actionable insights, shape product strategy, and accelerate the adoption of AI-enabled decision making across digital products and customer experiences.
As a core member of the Product organization, this role will partner with Product Management, UX, Engineering, Data, and Business stakeholders to define success metrics, measure user behavior, evaluate AI-enabled features, and uncover opportunities where analytics, machine learning, automation, and generative AI can deliver measurable business value. This individual will combine strong analytical expertise with modern AI capabilities to transform data into insights, predictions, recommendations, and intelligent product improvements.
This role is onsite 4 days/week in Burlington, MA
Key Responsibilities
  • Define, influence, and maintain core product KPIs that inform feature adoption, user engagement, retention, customer experience, and business value.
  • Conduct deep-dive analyses on product performance, user behavior, funnel conversion, feature usage, and digital journey effectiveness.
  • Identify opportunities to apply Artificial Intelligence (AI), Machine Learning (ML), automation, and Generative AI to improve digital products, customer experiences, insight generation, and operational efficiency.
  • Design and measure AI-specific KPIs including adoption, utilization, accuracy, relevance, usefulness, productivity gains, customer satisfaction, user trust, and business impact.
  • Develop predictive and prescriptive analytical models to support product prioritization, customer behavior forecasting, segmentation, roadmap planning, and opportunity scoring.
  • Analyze results from A/B and multivariate tests to evaluate product experiments, AI-enabled features, recommendation logic, and performance impact.
  • Build and maintain self-serve dashboards in Power BI or Tableau to support product transparency, executive visibility, and data-driven decision-making.
  • Use AI-assisted analytics tools and Large Language Models (LLMs) to accelerate data exploration, root-cause analysis, summarization, narrative development, and decision support.
  • Partner with Engineering and Data teams to validate data pipelines, telemetry, model outputs, feature performance, and AI-driven recommendations.
  • Communicate complex findings through visual storytelling, concise executive summaries, and product recommendations that translate data into action.
  • Support data definition, documentation, metadata alignment, and analytics governance across Product, UX, Engineering, and Business stakeholders.
  • Promote responsible AI practices, including explainability, human oversight, data privacy, security, bias awareness, governance, and validation of AI-generated outputs.
  • Build reusable analytics assets, prompts, dashboards, measurement frameworks, and documentation that help teams use AI responsibly and consistently.

Required Qualifications
  • 5+ years in data, product, business analytics, or digital analytics roles with measurable impact on digital product performance.
  • Proficiency in SQL and Python for querying, analysis, automation, statistical analysis, and scalable analytical workflows.
  • Strong skills in Power BI, Tableau, or similar tools for dashboard creation, reporting, measurement frameworks, and executive-ready insights.
  • Experience conducting behavioral, product, funnel, retention, cohort, journey, and experimentation analysis using large-scale data.
  • Experience applying machine learning, predictive analytics, advanced statistical methods, or AI-assisted analytics to solve business or product challenges.
  • Working knowledge of machine learning concepts, model evaluation techniques, predictive modeling approaches, and responsible use of AI-generated insights.
  • Ability to critically evaluate model outputs and AI-generated recommendations, validate results against source data, and clearly communicate assumptions, limitations, and business implications.
  • Excellent communication and data storytelling skills, with experience presenting to product, business, technical, and executive stakeholders.
  • Experience defining metrics, synthesizing complex data sources, and delivering insight in agile, cross-functional teams.
  • Familiarity with data governance, data privacy, security controls, metadata management, and responsible AI principles.

Preferred Qualifications
  • Experience designing analytics solutions for AI-enabled products, digital platforms, intelligent automation, or customer-facing digital experiences.
  • Experience using Generative AI or LLM-based tools such as Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, Claude, or equivalent technologies to support analytics, insight generation, automation, or product discovery.
  • Familiarity with prompt engineering, AI-assisted workflow design, natural-language analytics, or automated insight-generation approaches.
  • Exposure to machine learning use cases such as forecasting, recommendation engines, anomaly detection, churn/retention modeling, personalization, clustering, propensity scoring, or prioritization models.
  • Experience measuring and optimizing AI feature adoption, recommendation quality, conversational AI performance, copilots, personalization capabilities, or model usefulness.
  • Experience with Azure AI services, Azure OpenAI, Databricks, Snowflake, Microsoft Fabric, or other cloud-scale analytics environments.
  • Knowledge of model monitoring, model lifecycle management, experimentation frameworks, explainability, bias mitigation, and human-in-the-loop validation.
  • Experience in enterprise SaaS, B2B, digital commerce, life sciences, healthcare technology, or regulated environments.
  • Familiarity with experimentation platforms such as Adobe Target, Optimizely, or similar tools.
  • Exposure to compliance frameworks such as GDPR, 21 CFR Part 11, or relevant data governance and privacy standards.

EOE M/F/Disabled/VET
If any applicant is unable to complete an application or respond to a job opening because of a disability, please email at Recruiting@azenta.com for assistance.
Azenta is an Equal Opportunity Employer. This company considers candidates regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability or veteran status.
United States Base Compensation: $107,000.00 - $134,000.00
The posted pay range for this position is an estimate based on current market data and internal pay structure. Final compensation may vary above or below this range depending on factors such as experience, education (including licensure and certifications), qualifications, performance, and geographic location, among other relevant business or organizational needs.

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