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Manager Data Analytics Engineer Jobs in Poughkeepsie, NY

Cogent Info

Data Entry and Word Processing

Wassaic, NY · On-site

$17.50 - $20.75/hr

Provide administrative support by processing purchase requests, maintaining records, managing ... Data Analytics and AI. ISO-certified and CMMI Level 3 appraised, we proudly partner with 70 ...

Mars

SC Excellence Assistant Manager

Sharon, CT · On-site

... Chain, Engineering, Business Analytics, or a related filed. * Data analytics or digital ... Strong analytical and data management skills with experience in KPI reporting. * Hands-on ...

Accenture

Reinvention Deployed Engineer

Carmel, NY · On-site

$94K - $316K/yr

... data analytics to design, build, and deploy custom cloud-native applications and services. Our ... Youwillhelp users configure, manage, andoptimizetheiruse of custom APIs,anddatasets.You will design ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Poughkeepsie, NY

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 23, 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:

Manager Data Analytics Engineer jobs near you

Device Characterization Engineer

onsemi

Hopewell Junction, NY • On-site

$88K - $142K/yr

Full-time

Re-posted 2 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 is seeking a highly motivated Semiconductor Device Characterization Engineer at Hopewell Junctions, New York.  to support high-volume manufacturing and new technology development activities. Expertise in trench MOSFET and/or IGBT is desired.  This role serves as a critical technical resource for electrical characterization, data analysis, process evaluation, and manufacturing decision support during non-standard operating hours, providing rapid response to production and quality issues.

The successful candidate will leverage device physics knowledge, statistical analysis, and electrical characterization expertise to evaluate product performance, disposition manufacturing holds, assess process changes, and drive timely technical decisions that maintain product quality and manufacturing continuity.

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.

Required Qualifications

  • B.S. or M.S. in Electrical Engineering, Semiconductor Engineering, Physics, Materials Science, or a related technical discipline.
  • Minimum 2+ years of experience in semiconductor device engineering, characterization engineering, product engineering, or a related role.
  • Strong understanding of power semiconductor device physics and operation
  • Experience analyzing manufacturing and characterization datasets for device performance assessment and process monitoring.
  • Demonstrated experience evaluating manufacturing excursions through FMEA and making technically sound disposition decisions.
  • Strong understanding of semiconductor fabrication processes and their impact on device electrical performance.
  • Experience with electrical characterization equipment and semiconductor parametric measurement techniques.
  • Knowledge of statistical analysis tools and methodologies.
  • Excellent problem-solving, root-cause analysis, and decision-making skills.
  • Strong written and verbal communication skills.

Preferred Qualifications

  • M.S. or Ph.D. in Electrical Engineering, Physics, or a related field.
  • Experience supporting high-volume semiconductor manufacturing operations.
  • Familiarity with reliability qualification standards and methodologies.
  • Experience with wafer acceptance testing, process control monitoring, and electrical yield analysis.
  • Working knowledge of TCAD simulation or device modeling tools.
  • Experience using JMP, Minitab, Python, MATLAB, SQL, Spotfire, or similar data analytics platforms.
  • Knowledge of automotive, industrial, or high-reliability power semiconductor products.
  • Experience with 300 mm power semiconductor manufacturing environments.

Salary: onsemi is excited to share the base salary range for this position is $88,700 to $142,000 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.pdf

  • Electrical characterization activities for trench MOSFET, IGBT, and related power semiconductor technologies.
  • Analyze parametric, probe, final test, reliability, and failure analysis data to identify trends, excursions, and process-induced performance shifts.
  • Provide technical assessment and disposition recommendations for manufacturing lot holds, process deviations, and electrical outliers.
  • Serve as the primary engineering resource for rapid investigation of production issues requiring immediate technical evaluation.
  • Evaluate the impact of process changes, equipment modifications, material changes, and process excursions on device performance and reliability.
  • Develop and execute characterization plans to support process qualification, technology transfers, and continuous improvement initiatives.
  • Correlate wafer sort, package test, reliability, and device characterization data to determine root causes of electrical performance variations.
  • Collaborate with process integration, device engineering, yield engineering, quality, reliability, test engineering, and manufacturing teams to resolve issues and drive corrective actions.
  • Perform statistical analysis using large datasets to identify yield detractors and opportunities for process optimization.
  • Actively monitor and react to key device parameters
  • Generate concise technical reports and communicate findings, risks, and recommendations to management and cross-functional teams.
  • Support reliability investigations and customer-facing quality issues when device characterization expertise is required.
  • Drive implementation of automated data analysis and characterization methodologies to improve engineering response times.

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