Manager Data Analytics & EngineeringDormont Manufacturing Company • Lowell, Massachusetts, United States
Manager Data Analytics & Engineering
Dormont Manufacturing Company
- Lowell, Massachusetts, United States
- Lowell, Massachusetts, United States
À propos
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.
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Compétences linguistiques
- English
Avis aux utilisateurs
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