Analytics Engineer Jobs in Massachusetts
Analytics Engineer jobs in Massachusetts are in strong demand, with hiring concentrated in biotech and life sciences, financial services, and enterprise technology sectors at every level from entry-level to senior and staff. Boston, Cambridge, and Waltham are the primary hiring metros, anchored by employers such as Biogen, Fidelity Investments, and Liberty Mutual. The most sought-after specialties include dbt and data warehouse architecture, healthcare and clinical data pipelines, and financial data modeling. Find a role that fits below and apply directly.
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Job Summary
Job Title : Industrial Engineering Analytics Engineer
Location: Boston, MA and Pittsburgh, PA (Onsite)
Job Type :Fulltime
Salary : $145,000- $150,000
Job Description:
The Industrial Engineer will be responsible for developing and managing industrial engineering models that support manufacturing capacity planning, labor planning, operational efficiency, productivity improvement, and cost optimization. The role requires strong expertise in manufacturing systems, production analytics, COGS modeling, OEE analysis, CAPEX planning, and scrap reduction initiatives.
Mandatory Responsibilities
Develop and maintain capacity planning models to support current and future production requirements.
Perform labor planning and workforce optimization based on production demand, takt time, and utilization targets.
Build and manage COGS (Cost of Goods Sold) models including direct labor, overhead, scrap, and manufacturing costs.
Lead CAPEX planning activities including equipment justification, investment analysis, and manufacturing expansion planning.
Develop and maintain OEE (Overall Equipment Effectiveness) models covering Availability, Performance, and Quality metrics.
Perform scrap rate analysis, yield tracking, and cost impact assessments to identify improvement opportunities.
Conduct cycle time studies, bottleneck analysis, line balancing, and productivity improvement initiatives.
Support factory capacity expansion and operational readiness through analytical modeling and validation.
Develop manufacturing dashboards and reports using Excel, Power BI, SQL, or similar analytical tools.
Collaborate with Manufacturing, Operations, Supply Chain, Finance, and Engineering teams to support data-driven decision making.
Perform scenario analysis and sensitivity studies related to capacity, labor, throughput, and manufacturing costs.
Generate management-level reports and recommendations based on industrial engineering analysis.
Mandatory Skills
Capacity Planning and Capacity Modeling
Labor Planning and Workforce Optimization
COGS Modeling and Manufacturing Cost Analysis
CAPEX Planning and Investment Justification
OEE Analysis and Performance Improvement
Scrap Rate Calculation and Yield Analysis
Cycle Time Analysis and Line Balancing
Manufacturing Process Improvement
Production Planning and Throughput Analysis
Advanced Microsoft Excel
Power BI and Data Visualization
Basic Qualifications
Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Operations Research, or related discipline.
7+ years of experience in Industrial Engineering, Manufacturing Analytics, Capacity Planning, or Operations Analysis.
Strong understanding of manufacturing systems and production operations
Pay: $130,000.00 - $150,000.00 per year
Benefits:
- 401(k)
- Relocation assistance
Work Location: In person
Job Summary
Job Title : Industrial Engineering Analytics Engineer
Location: Boston, MA and Pittsburgh, PA (Onsite)
Job Type :Fulltime
Salary : $145,000- $150,000
Job Description:
The Industrial Engineer will be responsible for developing and managing industrial engineering models that support manufacturing capacity planning, labor planning, operational efficiency, productivity improvement, and cost optimization. The role requires strong expertise in manufacturing systems, production analytics, COGS modeling, OEE analysis, CAPEX planning, and scrap reduction initiatives.
Mandatory Responsibilities
Develop and maintain capacity planning models to support current and future production requirements.
Perform labor planning and workforce optimization based on production demand, takt time, and utilization targets.
Build and manage COGS (Cost of Goods Sold) models including direct labor, overhead, scrap, and manufacturing costs.
Lead CAPEX planning activities including equipment justification, investment analysis, and manufacturing expansion planning.
Develop and maintain OEE (Overall Equipment Effectiveness) models covering Availability, Performance, and Quality metrics.
Perform scrap rate analysis, yield tracking, and cost impact assessments to identify improvement opportunities.
Conduct cycle time studies, bottleneck analysis, line balancing, and productivity improvement initiatives.
Support factory capacity expansion and operational readiness through analytical modeling and validation.
Develop manufacturing dashboards and reports using Excel, Power BI, SQL, or similar analytical tools.
Collaborate with Manufacturing, Operations, Supply Chain, Finance, and Engineering teams to support data-driven decision making.
Perform scenario analysis and sensitivity studies related to capacity, labor, throughput, and manufacturing costs.
Generate management-level reports and recommendations based on industrial engineering analysis.
Mandatory Skills
Capacity Planning and Capacity Modeling
Labor Planning and Workforce Optimization
COGS Modeling and Manufacturing Cost Analysis
CAPEX Planning and Investment Justification
OEE Analysis and Performance Improvement
Scrap Rate Calculation and Yield Analysis
Cycle Time Analysis and Line Balancing
Manufacturing Process Improvement
Production Planning and Throughput Analysis
Advanced Microsoft Excel
Power BI and Data Visualization
Basic Qualifications
Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Operations Research, or related discipline.
7+ years of experience in Industrial Engineering, Manufacturing Analytics, Capacity Planning, or Operations Analysis.
Strong understanding of manufacturing systems and production operations
Pay: $130,000.00 - $150,000.00 per year
Benefits:
- 401(k)
- Relocation assistance
Work Location: In person
See All 16 Analytics Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Analytics Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
What Massachusetts Employers Look For
The qualifications that appear most often in analytics engineer jobs across Massachusetts.
- Bachelor's degree in computer science, statistics, mathematics, or a related quantitative field
- Proficiency in SQL and at least one analytical programming language such as Python or R
- Experience with data transformation tools like dbt and cloud platforms such as Snowflake or Databricks
- Familiarity with ETL pipeline development and data modeling for large-scale production environments
- Strong communication skills for translating data findings for both technical and non-technical stakeholders
- Experience with version control systems such as Git and collaborative development workflows
Analytics Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a analytics engineer in Massachusetts?
Becoming an analytics engineer in Massachusetts starts with a bachelor's degree in computer science, statistics, or a related quantitative field, though no state-issued license is required for the role. Most Massachusetts employers expect demonstrated proficiency in SQL, Python, and modern data stack tools like dbt and Snowflake. Building a portfolio of data modeling or pipeline projects and earning platform certifications, such as those from Databricks or dbt Labs, strengthens candidacy at Boston-area biotech, finance, and technology firms.
How much do analytics engineers make in Massachusetts?
Analytics engineers in Massachusetts earn a median of about $131,750 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $81,030 for the lowest 10% to over $206,220 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics engineers in Massachusetts?
Employers hiring analytics engineers in Massachusetts right now include Bose, Wipro, and Moderna, based on current listings on Migrate Mate as of November 2026. Massachusetts's dense concentration of biotech, financial services, and enterprise software companies means hiring is consistent and spread across multiple major industries throughout the year.
Which Massachusetts cities have the most analytics engineer jobs?
Boston, Quincy, and Andover account for the highest concentration of analytics engineer openings in Massachusetts. Boston and Cambridge dominate due to their dense clusters of life sciences companies, financial institutions, and technology firms, while Waltham attracts significant hiring from enterprise software and managed healthcare organizations that have established major operations along the Route 128 corridor.
Are there remote analytics engineer jobs in Massachusetts?
Yes, and more than most fields. About 78% of analytics engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how well-suited the role is for distributed work. The parts of the role most commonly done fully remotely are pipeline development, data modeling, and documentation, while stakeholder-facing work and cross-team collaboration often favor hybrid arrangements.
How can I get hired as a analytics engineer in Massachusetts with little or no experience?
The most realistic entry path is moving into an analytics engineer role from a business analyst, data analyst, or SQL-heavy reporting position at a Massachusetts employer. Large organizations such as Fidelity Investments and Massachusetts General Brigham health system run rotational programs and associate data roles that serve as on-ramps. Building a public dbt or Python portfolio project and earning a Databricks or Snowflake associate certification signals readiness when formal experience is limited.
Where can I find and apply to analytics engineer jobs in Massachusetts?
You can find and apply to analytics engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings from employers across biotech, financial services, and technology. Find roles that fit your experience and apply directly to each one.
See All 16 Analytics Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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