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Data Analytics Manager Jobs in Lawrence, MA (NOW HIRING)

We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data platforms, analytics systems, and data science solutions that enable intelligent, data-driven decision ...

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data platforms, analytics systems, and data science solutions that enable intelligent, data-driven decision ...

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

Data Analytics Specialist Location: Burlington, MA Duration: 2-Month Contract Position Overview: We ... The position also supports marketing efforts, including promotional campaign analysis and CRM ...

Data Analytics

Boston, MA · On-site

$146K - $176K/yr

Applying knowledge of data management, data governance, service catalogue, data lineage tools ... or analytics; Demonstrated strong proficiency in SQL; Demonstrated knowledge of data management ...

Data Analytics

Boston, MA

$146K - $176K/yr

Applying knowledge of data management, data governance, service catalogue, data lineage tools ... or analytics; Demonstrated strong proficiency in SQL; Demonstrated knowledge of data management ...

Within our Deals practice, you will leverage your analytical skills to transform data into ... As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ...

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Data Analytics Manager information

See Lawrence, MA salary details

$32.5K

$101.9K

$180.4K

How much do data analytics manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data analytics manager in Lawrence, MA is $101,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $131,700.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
What are the most commonly searched types of Data Analytics jobs in Lawrence, MA? The most popular types of Data Analytics jobs in Lawrence, MA are:
What cities near Lawrence, MA are hiring for Data Analytics Manager jobs? Cities near Lawrence, MA with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Lawrence, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 65% In-person, 9% Hybrid, and 26% Remote job distribution, with an average salary of $101,918 per year, or $49 per hour.
Manager Data Analytics & Engineering

Manager Data Analytics & Engineering

Magna

Lowell, MA

$105K - $196K/yr

Full-time

Posted 15 days ago


Job description

Job descriptions may display in multiple languagesbased on your language selection.

What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna New Mobility is a business unit inside Magna International leveraging Magna's technology building blocks, developing new capabilities, and entering new markets and use cases. Our products include advanced solutions for urban markets, industrial intralogistics, commercial and autonomous vehicles.
Magna New Mobility is also creating advanced software solutions that integrate with next-generation hardware. Our software is a core driver - turning our hardware into smart, integrated platforms for partners eager to advance the mobility sector.
Magna's New Mobility group is not just about building individual technologies; we aim to create integrated solutions that address the complex challenges of moving people efficiently and cost effectively in the 21st century. Join us in advancing and shaping the future of mobility.

Job Responsibilities:

We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data platforms, analytics systems, and data science solutions that enable intelligent, data-driven decision making across the organization.

This role will lead a team of data engineers, data scientists, and analysts responsible for building robust data pipelines, developing advanced algorithms, and delivering actionable insights through dashboards and analytics platforms.

The ideal candidate combines strong data engineering ability (Databricks, data pipelines) with data science and algorithmic thinking and has experience delivering business intelligence dashboards (QuickSight or similar tools) that translate complex datasets into operational insights.

What you will be doing in this role:
  • Participate and lead design and manage scalable data platforms using Databricks and modern lakehouse architectures
  • Oversee ETL/ELT pipelines to ingest data from multiple enterprise systems (ERP, MES, IoT platforms, applications)
  • Develop scalable data models that support analytics, machine learning, and reporting
  • Ensure data quality, governance, security, and performance across the data ecosystem
  • Collaborate with engineering teams to productionize data science models within the platform. Evaluate and implement advanced analytics techniques and AI capabilities
  • Manage the development and maintenance of interactive dashboards and data visualizations using QuickSight or similar BI platforms
  • Define and track business KPIs, operational metrics, and performance indicators
  • Enable self-service analytics for product, operations, and leadership teams
  • Facilitate translation of complex data insights into clear, actionable recommendations
  • Lead and mentor a team of data engineers, data scientists, and analysts
  • Define technical standards for data engineering, model development, and analytics
  • Manage roadmap, sprint planning, and delivery of data and analytics initiatives
  • Foster a culture of data-driven decision making across the organization
What you should bring to this role:
  • Bachelor's Degree in Data Science, Computer Science, Mathematics or related field required, Masters Degree strongly preferred
  • 8+ years of experience in data engineering and data analytics required
  • 2+ years of experience leading data or analytics teams preferred
  • Strong experience with Databricks, Spark, or modern lakehouse architectures required
  • Expertise in SQL and Python for data engineering and analytics required
  • Strong understanding of algorithms, statistical modeling, and data science techniques required
  • Experience building business intelligence dashboards (QuickSight, Tableau, Power BI, Looker) required

Hiring Base Salary Range: $105,780 - $196,440 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data). In addition to base salary, some positions are eligible for an annual performance based bonus.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:
Regular / Permanent
Group:
Magna Corporate