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Data Analytics Developer Jobs in Massachusetts (NOW HIRING)

... engineering, and EPC contracts. This role also leads the development, implementation, support, and ... Provide direct leadership and oversight of a team of data analysts. * Manage contract performance ...

... analytics, and systems engineering to solve complex Homeland Protection problems and strengthen national security. Our group is seeking highly motivated data scientists interested in solving ...

... analytics, and systems engineering to solve complex Homeland Protection problems and strengthen national security. Our group is seeking highly motivated data scientists interested in solving ...

... analytics, and systems engineering to solve complex Homeland Protection problems and strengthen national security. Our group is seeking highly motivated data scientists interested in solving ...

Partner with Data Engineering on data warehouse strategy, data quality frameworks, and metric standardization Partner Cross-Functionally * Serve as the primary analytics partner to senior ...

Partner with Data Engineering on data warehouse strategy, data quality frameworks, and metric standardization Partner Cross-Functionally * Serve as the primary analytics partner to senior ...

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Serve as the primary analytics partner for SIOP processes, providing demand/supply data analysis ... Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

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Data Analytics Developer information

See Massachusetts salary details

$26

$59

$103

How much do data analytics developer jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data analytics developer in Massachusetts is $59.79, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $67.74 per hour, depending on experience, location, and employer.

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

AspectData Analytics DeveloperData Analyst
Required SkillsSQL, programming, data modeling, visualization toolsExcel, SQL, basic statistics, visualization
CertificationsData analytics, programming certificationsExcel, Tableau, Power BI certifications
Work EnvironmentDevelops data tools, pipelines, and dashboardsAnalyzes data, creates reports, interprets findings
Industry UsageTech, finance, healthcare, where data tools are neededBusiness, marketing, finance, where insights are required

While both roles work with data, Data Analytics Developers focus on building data systems and tools, whereas Data Analysts interpret data to provide insights. The roles often overlap but differ mainly in technical development versus analysis and reporting.

What are some common challenges Data Analytics Developers face when integrating new data sources into existing analytics platforms?

Data Analytics Developers often encounter challenges such as data inconsistency, varying data formats, and incomplete documentation when integrating new sources. Ensuring data quality and compatibility with existing pipelines requires close coordination with data engineers and source system owners. Additionally, they must balance the need for rapid integration with maintaining data security and compliance standards. Overcoming these challenges typically involves thorough data profiling, robust ETL processes, and proactive communication across teams.

What does a Data Analytics Developer do?

A Data Analytics Developer is responsible for designing, developing, and implementing data analysis tools and solutions. They work with large datasets to extract insights, create data models, and build dashboards or reports that help organizations make data-driven decisions. Their role often involves collaborating with data scientists, business analysts, and IT teams to ensure data accuracy, performance, and security. They typically use programming languages like Python or SQL and may work with business intelligence platforms such as Tableau or Power BI.

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

To thrive as a Data Analytics Developer, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid background in statistics or mathematics, typically supported by a relevant degree. Experience with data visualization tools (such as Tableau or Power BI), SQL, and cloud-based analytics platforms, as well as certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, are highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this field. These skills ensure accurate data analysis, actionable insights, and successful collaboration with stakeholders to drive data-informed decision-making.
What are popular job titles related to Data Analytics Developer jobs in MA? For Data Analytics Developer jobs in MA, the most frequently searched job titles are:
Infographic showing various Data Analytics Developer job openings in Massachusetts as of June 2026, with employment types broken down into 73% Full Time, 13% Part Time, 3% Temporary, 8% Contract, and 3% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $124,364 per year, or $59.8 per hour.
Dir, Process & Data Mgmt

$160K - $165K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Overview
The Director of Process Improvements & Data Analytics & Management is a strategic and operational leader in the facilities department responsible for optimizing business processes, elevating enterprise data capabilities, and driving a culture of continuous improvement. This role blends analytical rigor with organizational change leadership within the facilities department, ensuring that processes, systems, and data practices support efficiency, scalability, and informed decision-making. The director partners with executives and cross-functional teams to identify opportunities, implement solutions, and build sustainable frameworks for operational excellence.
Responsibilities
  • Process Improvement Leadership
    • Lead enterprise-wide process optimization initiatives within the facilities department to improve efficiency, quality, and scalability.
    • Develop and maintain a continuous improvement roadmap aligned with organizational goals.
    • Facilitate process mapping, root-cause analysis, and workflow redesign using Lean, Six Sigma, or similar methodologies.
    • Establish KPIs, performance dashboards, and operational scorecards to measure and monitor effectiveness.
    • Partner with business units to identify bottlenecks, streamline workflows, and implement best practices.
    • Drive change management efforts to ensure adoption and long-term sustainability of improvements.
  • Data Analytics & Management
    • Oversee the facilities department data strategy, ensuring data is accurate, accessible, and actionable.
    • Implement and maintain data governance frameworks, including data quality standards, stewardship models, and compliance protocols.
    • Lead the development of advanced analytics capabilities, including predictive modeling, automation, and self-service BI.
    • Collaborate with IT, analytics teams, and business leaders to enhance data architecture, reporting tools, and system integrations.
    • Promote data-driven decision-making through training, communication, and user-friendly analytics tools.
    • Ensure data security, privacy, and regulatory compliance in partnership with legal and technology teams.
  • Leadership & Collaboration
    • Build strong cross-functional relationships to align improvement and analytics initiatives with business needs.
    • This role is focused on strategy, architecture, and frameworks rather than day-to-day operational reporting or ticket-based analytics support.
    • All key initiatives and functions are delivered in close partnership with IT, Leadership, and Facilities teams, ensuring alignment with broader technology standards, avoiding duplication, and leveraging existing expertise and resources.
    • Communicate insights, progress, and recommendations to executive leadership through presentations and strategic reports.
    • Champion a culture of operational excellence, innovation, and continuous learning.

Qualifications
REQUIRED:
  • Bachelor's degree in Business, Operations, Data Analytics, Engineering, or related field;
  • 10+ years of experience in process improvement, data analytics, operations, or related disciplines.
  • Proven success leading enterprise-level transformation initiatives.
  • Expertise in Lean, Six Sigma, or similar methodologies (certification strongly preferred).
  • Strong understanding of data governance, analytics tools, and data architecture.
  • Experience with BI platforms such as Power BI, Tableau, or Looker.
  • Exceptional leadership, communication, and stakeholder management skills.
  • Ability to balance strategic vision with hands-on execution.

PREFERRED:
  • Masters degree in Business, Operations, Data Analytics, Engineering, or related field;
  • Experience with ERP, CRM, and workflow automation platforms.
  • Knowledge of predictive analytics, machine learning concepts, or automation technologies.
  • Change management expertise (e.g., Prosci/ADKAR).
  • Strong project management capabilities with a track record of delivering measurable results.