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Manager Data Analytics Engineer Jobs in Newton, MA

We have an opening for an Analytics Engineer who will bridge the gap between data analysis and data engineering. You will be responsible for transforming raw data into clean, reliable data sets ...

The ideal background is a former data engineer who moved into product management. Technical depth ... Partner with the data analyst and engineering to enable self-service intelligence - the goal is ...

Analytics Engineer

Waltham, MA · On-site +1

$84K - $101K/yr

Collaborate with data analysts, data scientists, data engineers and other stakeholders to understand data needs and deliver high-quality, reliable data solutions. * Ensure data quality and integrity ...

Analytics Engineer

Boston, MA · On-site

$112 - $168/hr

About the Team Data is at the heart of every decision at Klaviyo. Our Analytics Engineering team ... Work closely with Sales Ops, Product Managers, Engineering, Finance, and GTM teams * Repository ...

About the Team Data is at the heart of every decision at Klaviyo. Our Analytics Engineering team ... Work closely with Sales Ops, Product Managers, Engineering, Finance, and GTM teams * Repository ...

Showing results 21-40

Manager Data Analytics Engineer information

See Newton, MA salary details

$48.8K

$142.3K

$194.7K

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

As of Sep 3, 2026, the average yearly pay for manager data analytics engineer in Newton, MA is $142,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $150,800.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

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

The top searched job categories for Manager Data Analytics Engineer jobs in Newton, MA are:

What cities near Newton, MA are hiring for Manager Data Analytics Engineer jobs?

Cities near Newton, MA with the most Manager Data Analytics Engineer job openings:

Staff AI Data Analytics Engineer

Symbotic

Wilmington, MA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Symbotic rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

185th of 247 rated software companies


Job description

Who we are

With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.

What we need

We are looking for an AI Analytics Engineer to join Symbotic. Your job will be to design and build an intelligent analytics ecosystem that aggregates operations data across multiple systems and leverages agentic AI to generate insights, dashboards, and proactive recommendations for executive leadership. This individual will play a critical role in enabling scalable, real-time visibility into business performance as we grow globally, with a focus on hands-on development of robust, production-level data systems and dashboards.

The ideal candidate brings broad exposure to different areas of a business and is comfortable moving across functions, asking questions, challenging assumptions, and proactively seeking out the information needed to solve ambiguous problems.

What you'll do

Business Analysis & Strategic Insights

  • Partner with leaders and cross-functional teams to understand business questions, reporting needs, risks, and opportunities.

  • Work across different areas of the organization and develop an understanding of how business functions, processes, metrics, and data connect.

  • Analyze data to identify trends, risks, inefficiencies, and performance gaps, then translate findings into clear recommendations and next steps.

  • Proactively seek out answers, challenge assumptions when appropriate, and navigate ambiguity across different layers of the business.

  • Present your insights to C-suite level leaders to influence their strategy and operation thinking.

Data Consumption & Analytics

  • Work with data engineering and platform teams to understand and consume data from existing enterprise data sources.

  • Understand database and schema structures, relationships between datasets, metric definitions, and how information flows across systems.

  • Use SQL and Python to query, analyze, transform, and work with data for custom analytics and reporting use cases.

  • Partner with teams responsible for data pipelines and infrastructure to communicate data requirements and resolve gaps or quality issues.

Reporting, Dashboards & Data Exploration

  • Build custom dashboards and executive-ready reporting that clearly communicate KPIs, trends, risks, and business performance.

  • Use visualization and analytics tools such as Tableau, Power BI, Qlik, Looker, or similar platforms where appropriate.

  • Develop custom analytics experiences using Python, SQL, and other tools when traditional BI platforms are not sufficient.

  • Build mechanisms that allow users to search, query, drill into, and explore underlying data, including self-service and natural-language experiences where appropriate.

  • Ensure reporting is intuitive, actionable, and aligned with the decisions business leaders need to make.

AI-Enabled Analytics & Reporting

  • Build on top of existing LLMs, agents, and enterprise AI capabilities to make analytics and reporting more effective.

  • Develop plugins, tools, integrations, search capabilities, and other reusable assets that extend existing AI platforms.

  • Use AI to automate or enhance data analysis, reporting, summarization, insight generation, and information retrieval.

Data Quality, Metrics & Governance

  • Establish and enforce enterprise-wide data governance and standards, including clear ownership of core metrics across systems, metric definitions, calculation methodologies, source-of-truth alignment across systems.

  • Lead data governance and data quality efforts, including identifying and remediating inconsistencies across data sources and pipelines, and ensuring accuracy, consistency, and trust in analytics outputs.

What you'll need

  • Bachelor's degree or higher in Computer Science, Data Science, Engineering, Mathematics, Business Analytics, Information Systems, or a related discipline.

  • Minimum of 8 years of experience in data analytics, analytics engineering, data science, business intelligence, business analytics, or a related field.

  • Strong business analysis skills, including the ability to turn loosely defined questions into structured analysis and data-driven recommendations.

  • Hands-on experience applying LLMs or existing AI/agent platforms to analytics, reporting, search, or workflow automation. Experience building plugins, tools, integrations, or reusable capabilities on top of existing AI platforms is preferred.

  • Experience working with large, multi-source datasets and partnering with data engineering teams to define data requirements and resolve data issues.

  • Strong proficiency in SQL and Python for querying, analysis, automation, and building custom analytics solutions.

  • Strong understanding of databases, schemas, data relationships, and how to consume and work with enterprise data layers.

  • Experience building dashboards and executive reporting using Tableau, Power BI, Qlik, Looker, or similar visualization platforms.

  • Experience building custom mechanisms or interfaces that allow users to search, query, or explore data is strongly preferred.

  • Strong communication skills and the ability to present complex data and recommendations to senior and executive stakeholders.

  • Highly proactive and comfortable operating in ambiguous, fast-paced environments where curiosity, ownership, and adaptability are critical.

Our environment

  • Up to10%of travel may berequired. Employees must have a valid driver's license and the ability to drive and/or fly to client and other customer locations.

  • The employeeis responsible forowning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

#LI-Hybrid

#LI-DW

About Symbotic

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visitwww.symbotic.com.

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.

We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

The base range for this position in the posted location is $149,000.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

What Symbotic employees say

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