1

Senior Data Analytics Engineer Jobs in Boston, MA

Sr. AI Analytics Engineer

Marlborough, MA · On-site

$108K - $148K/yr

Senior AI Analytics Engineer Department: IT Work Location (s): * El Paso, TX * Plano, TX, * ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering ...

Senior Data Engineer Stack: JavaScript (Node/Lambdas), Python, SQL, Snowflake, Cursor If you are ... Craft intuitive tools and frameworks that empower our data scientists and analysts to do their best ...

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

Description We are looking for a Senior Data Analyst to join our mission-driven team. As an ... You'll be part of a small data analytics team, so your work is visible, and your voice matters. If ...

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

Description We are looking for a Senior Data Analyst to join our mission-driven team. As an ... You'll be part of a small data analytics team, so your work is visible, and your voice matters. If ...

Senior Data Analyst

Dedham, MA · Hybrid

$95K - $115K/yr

Description We are looking for a Senior Data Analyst to join our mission-driven team. As an ... You'll be part of a small data analytics team, so your work is visible, and your voice matters. If ...

Sr. Data Engineer

Boston, MA · On-site

$115K - $156K/yr

The role of Senior Data Engineer is essential for the successful modernization of our data ... analytics and driving data-based insights. * Contribute to the establishment of standards and ...

Your role and responsibilities As a Senior Data Engineer within Data & Analytics Platforms, you will lead the design and delivery of scalable, reliable data engineering solutions that underpin ...

New

About the Role We're looking for a Senior Analytics Engineer to own end-to-end data pipelines and modeling across GTM (Sales) and Product domains. You'll build and maintain the source of truth for ...

Partner with product and engineering teams in CarGurus UK and Canada to understand their product ... Design A/B tests of the Data Science team's models and analyze their results * Communicate ...

Senior Data Product Engineer

Boston, MA · On-site

$115K - $156K/yr

You will partner closely with Product, Analytics, Data Science, Engineering, and business stakeholders to ensure WHOOP has a consistent, trusted foundation for understanding its data. As a senior ...

The Role As a Senior Data Scientist at STR, you will help develop disruptive technologies focused ... You will contribute to data analysis, engineering software, and validation/verification of cutting ...

Showing results 41-60

Senior Data Analytics Engineer information

See Boston, MA salary details

$88K

$137.2K

$190.1K

How much do senior data analytics engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior data analytics engineer in Boston, MA is $137,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $156,400.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

What are the most commonly searched types of Data Analytics Engineer jobs in Boston, MA?

The most popular types of Data Analytics Engineer jobs in Boston, MA are:

What job categories do people searching Senior Data Analytics Engineer jobs in Boston, MA look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Senior Data Analytics Engineer jobs?

Cities near Boston, MA with the most Senior Data Analytics Engineer job openings:

Infographic showing various Senior Data Analytics Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,243 per year, or $66 per hour.

Sr. AI Analytics Engineer

Helen of Troy

Marlborough, MA • On-site

$108K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Helen Of Troy rating

8.3

Company rating: 8.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Join our IT team at Helen of Troy and make an immediate impact on our trusted brands: OXO, Hydro Flask, Osprey, Honeywell, PUR, Braun, Vicks, Hot Tools, Drybar, Curlsmith, Revlon, and Olive & June.
Together, we build innovative and useful products that elevate people's lives everywhere every day.
Look around your home, and you'll find us everywhere, in your kitchen, living room, bedroom, and bathroom. We are already making your everyday lives better. We are powered by knowledgeable, enthusiastic, and forward-thinking people committed to developing a culture of inclusion. Whether you are just starting your career or in need of a challenge, we recognize, develop, and empower talent!
Position: Senior AI Analytics Engineer
Department: IT
Work Location (s):
  • El Paso, TX
  • Plano, TX,
  • Arlington, TN,
  • Marlborough, MA.

Hybrid Schedule: At Helen of Troy, we embrace a flexible hybrid work model designed to support collaboration and productivity. For roles eligible for hybrid work, our standard schedule includes in-office collaboration from Tuesday through Thursday, with the option to work remotely on Mondays and Fridays. Any updates to this model will be communicated in advance. Please note that hybrid eligibility and schedules may vary based on business needs and manager expectations.
What you will be doing:
The Senior AI Analytics Engineer will help drive the adoption and delivery of AI-enabled analytics solutions across the enterprise. This role combines Microsoft AI technologies, business intelligence, analytics engineering, and modern data platforms to improve decision-making, automate insight generation, and accelerate business value.
  • Design, build, and deploy AI-enabled analytics solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft 365, Microsoft Graph, and related Microsoft AI technologies.
  • Develop AI assistants, copilots, Retrieval-Augmented Generation (RAG) solutions, Agentic AI workflows, and AI agents that securely leverage enterprise data and knowledge assets.
  • Enable AI-assisted analytics and BI capabilities, including natural language querying, automated insights, narrative reporting, KPI explanations, proactive alerts, and business recommendations.
  • Integrate AI solutions with Power BI, semantic models, governed datasets, enterprise APIs, and modern cloud data platforms.
  • Utilize Python and modern analytics tooling to prototype, validate, and operationalize AI-enabled analytics solutions.
  • Support advanced analytics initiatives including forecasting, anomaly detection, marketing analytics, social listening, and enterprise insight generation.
  • Define and implement AI evaluation frameworks, observability, monitoring, guardrails, security controls, and deployment standards.
  • Partner with business stakeholders, BI teams, data engineering teams, and platform owners to identify and deliver high-value AI and analytics use cases.
  • Create reusable solution patterns, technical documentation, and best practices to support enterprise AI adoption and scalability.

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related technical field.
  • 8+ years of experience delivering enterprise analytics, BI, data, cloud, software, automation, or AI solutions.
  • 2+ years of hands-on AI / GenAI solution delivery experience, including experience deploying enterprise AI solutions into production.
  • Hands-on experience with Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft Graph, Microsoft 365, Azure AI Search, or similar enterprise AI technologies.
  • Experience building AI assistants, copilots, RAG solutions, semantic search solutions, AI agents, or AI-enabled business workflows.
  • Experience implementing enterprise AI solutions with appropriate governance, monitoring, observability, evaluation frameworks, guardrails, and secure deployment practices.
  • Strong proficiency in Python and SQL.
  • Experience working with Power BI, semantic models, governed datasets, enterprise reporting platforms, or BI analytics solutions.
  • Experience integrating AI or analytics solutions with enterprise data platforms such as Snowflake or comparable cloud data platforms.
  • Proven ability to lead technical workstreams and influence solution delivery without direct people management responsibility.
  • Ability to travel domestically up to 5%.

Preferred Qualification:
  • Master's degree in a technical, quantitative, or analytics-related field.
  • Highly desired: Experience with Model Context Protocol (MCP), Semantic Kernel, LangChain, LangGraph, agent frameworks, tool-calling, plugins, or multi-agent orchestration.
  • Experience with Microsoft Fabric, Power Platform, Power Automate, Logic Apps, Azure DevOps, CI/CD, MLOps, LLMOps, or AI observability tools.
  • Experience with Jupyter Notebooks, Microsoft Fabric Notebooks, PySpark, Spark, or distributed data processing.
  • Working knowledge of statistical modeling, machine learning fundamentals, forecasting, anomaly detection, or model evaluation techniques.
  • Familiarity with Snowflake AI capabilities such as Cortex, Cortex Analyst, Cortex Search, Snowpark, Snowflake ML, or Snowflake Intelligence.
  • Experience in consumer products, retail, ecommerce, supply chain, marketing analytics, or enterprise BI environments.

Benefits: Salary + Bonus, Healthcare, Dental, Vision, Paid Holidays, Paid Parental Leave, 401(k) with company match, Basic Life Insurance, Short Term Disability (STD), Long Term Disability (LTD), Paid Time Off (PTO), Paid Charitable (volunteer) Leave, and Educational Assistance.
Wondering if you should apply? Helen of Troy welcomes people as diverse as our brands! Have the confidence to come as who you are because your point of view, skills, and experience will make us stronger. If you're eager to share new ideas and try new things, we want to hear from you.
#li-ab1
#LI-HYBRID
For more information about Helen of Troy, visit www.helenoftroy.com. You can also find us on LinkedIn, and Glassdoor
Helen of Troy is an Equal Opportunity/Affirmative Action Employer. We are committed to fostering a diverse and inclusive workplace where all employees can thrive. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
We will provide individuals with disabilities with reasonable accommodations to participate in the job application process. To request an accommodation, please contact Human Resources at (915) 225-8000.
Founded in 1968, Helen of Troy is a leading global consumer products company with operations across North America, South America, Europe, and Asia. Our portfolio includes trusted brands such as OXO, Hydro Flask, Osprey, Honeywell, PUR, Braun, Vicks, Hot Tools, Drybar, Curlsmith, Revlon, and Olive & June - many of which rank among the top brands in their consumer goods categories.
We grow and strengthen our brands through innovation, operational excellence, and a collaborative culture focused on delivering exceptional products and experiences for consumers worldwide.
The above statements are intended to describe the general nature and level of work performed and are not intended to be an exhaustive list of responsibilities.
Management reserves the right to modify the duties and responsibilities of the position at any time.

What Helen Of Troy employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom