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Manager Data Analytics Engineer Jobs in Poughkeepsie, NY

As a Logistics Applications and Reporting Developer, you will be supporting the East Fishkill 300mm ... data management applications. Your role will require expertise in transforming large amounts of ...

Project Manager - Data Centers

Poughkeepsie, NY

$51.25 - $69.25/hr

Bachelor's degree in Architecture, Civil Engineering, Electrical Engineering, Mechanical ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

Google Senior Data Engineer

Carmel, NY · On-site

$94K - $266K/yr

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine ... Implement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex ...

Google Data Specialist

Carmel, NY · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or ... Implement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex ...

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Manager Data Analytics Engineer information

See Poughkeepsie, NY salary details

$44K

$128.2K

$175.4K

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

As of Aug 19, 2026, the average yearly pay for manager data analytics engineer in Poughkeepsie, NY is $128,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $135,800.00 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 are popular job titles related to Manager Data Analytics Engineer jobs in Poughkeepsie, NY?

For Manager Data Analytics Engineer jobs in Poughkeepsie, NY, the most frequently searched job titles are:

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

The top searched job categories for Manager Data Analytics Engineer jobs in Poughkeepsie, NY are:

What cities near Poughkeepsie, NY are hiring for Manager Data Analytics Engineer jobs?

Cities near Poughkeepsie, NY with the most Manager Data Analytics Engineer job openings:

Reporting and Data Analytics

onsemi

Hopewell Junction, NY • On-site

$101K - $172K/yr

Full-time

Posted 6 days ago


Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

Onsemi East Fishkill is seeking highly skilled and motivated Engineer to be part of the Logistics Applications and Reporting Development Team.  

As a Logistics Applications and Reporting Developer, you will be supporting the East Fishkill 300mm Semiconductor Operations by developing, testing, and deploying reporting and data management applications. Your role will require expertise in transforming large amounts of diverse data associated with the Manufacturing Environment into reports and logistical information that can be acted upon. 

The Logistics and Reporting Systems are a 24x7 set of applications in support of the manufacturing operations, so periodic off-shift and/or on call coverage will be required for urgent issues.

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.


onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.
  • Bachelor's Degree in Computer Science, Information Technologies, Data Analytics, Engineering or other related technical discipline. 
  • Language Fluency - English (Written & Verbal) 

Salary: onsemi is excited to share the base salary range for this position is $101,700 to $172,700 exclusive of fringe benefits or potential bonuses. The final pay rate for the successful candidate will depend on geographic location, skills, education, experience, and/or consideration of the internal equity of our current team members. We also offer a competitive benefits package. https://www.onsemi.com/site/pdf/Benefits-Summary-USA.pd

  • Have experience with Analytical Tools such as SAS, QlikView, Tableau or similar Business Intelligence Environments. 
  • Demonstrated experience in data mining, manipulating, and merging complex data sets. 
  • Demonstrated ability to Read and Write SQL queries. 
  • Demonstrated experience working within UNIX Environment. 
  • Have experience with JAVA programming. 
  • Have the desire and ability to work in a dynamic environment. 
  • Drive continuous improvement in the productivity and accuracy of the Applications and Reporting Systems. 
  • Build upon the relationships with internal partners such as Production Control, Manufacturing Operations, Engineering, and Value Stream Teams as appropriate. 
  • Ability to work both independently and within a team environment. 
  • Embrace standardized approaches by working with peers in other fabs to implement best known processes. 

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