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Manager Data Analytics Engineer Jobs in Springfield, MO

HiFyve

Buisness Unit Manager

Springfield, MO

$152K - $170K/yr

... engineering, manufacturing, and executive leadership. Job Responsibilities * Own the assigned ... Conduct market research, assess customer needs, and analyze competitive data * Partner with sales ...

TERRACON

Geotechnical Staff Engineer

Springfield, MO · On-site

Analyze data, and perform engineering calculations and analysis for PE review. * Conduct ... Work closely with senior-level project manager and Professional Engineer of Record to gain project ...

TERRACON

Geotechnical Staff Engineer

Springfield, MO · On-site

Analyze data, and perform engineering calculations and analysis for PE review. * Conduct ... Work closely with senior-level project manager and Professional Engineer of Record to gain project ...

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Showing results 1-20

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Springfield, MO

Manager Data Analytics Engineer information

See Springfield, MO salary details

$40.5K

$118K

$161.5K

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

As of Jul 13, 2026, the average yearly pay for manager data analytics engineer in Springfield, MO is $117,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,100.00 per year, depending on experience, location, and employer.

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.

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 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.
What are popular job titles related to Manager Data Analytics Engineer jobs in Springfield, MO? For Manager Data Analytics Engineer jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Springfield, MO look for? The top searched job categories for Manager Data Analytics Engineer jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Manager Data Analytics Engineer jobs? Cities near Springfield, MO with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Continuous Improvement Engineer-Tyler Coupling

Continuous Improvement Engineer-Tyler Coupling

McWane, Inc.

Marshfield, MO • On-site

$76K - $102K/yr

Full-time

Posted 26 days ago

Job description

Company Description
The Continuous Improvement Engineer drives operational excellence by leading cross-functional initiatives to enhance efficiency, quality, and productivity using Lean and Six Sigma methodologies. This role focuses on identifying process inefficiencies, conducting root cause analysis, and implementing data-driven solutions to optimize performance.
Job Description
  1. Lead cross-functional teams in implementing process improvements, utilizing Lean and Six Sigma methodologies.
  2. Identify areas of inefficiency and recommend solutions to streamline processes.
  3. Conduct root cause analysis to determine the source of issues and implement corrective actions.
  4. Collect and analyze data to measure the effectiveness of process improvements.
  5. Develop and maintain process documentation and standard operating procedures.
  6. Collaborate with stakeholders to identify opportunities for improvement and implement best practices.
  7. Provide training and support to teams to ensure successful implementation of improvements.
  8. Troubleshoot machine losses and recommend improvements.
  9. All other duties as assigned.

Qualifications
  1. Bachelor's degree in Engineering, Operations Management, or a related field.
  2. 5+ years of experience in continuous improvement and/or process improvement roles.
  3. Certified Lean &/or Six Sigma Green Belt preferred.
  4. Experience in a manufacturing or production environment.
  5. Proficiency in data analysis and statistical software
  6. Strong project management skills, including experience leading cross-functional teams.
  7. Excellent communication and interpersonal skills and ability to effectively communicate with stakeholders at all levels.
  8. Excellent analytical skills and ability to collect, analyze, and interpret data.
  9. Proven track record of successful process improvement initiatives
  10. Ability to lead and influence cross-functional teams
  11. Experience with process mapping and value stream mapping
  12. Knowledge of Kaizen; including Standard Work, 5S, SMED, SPC, etc.
  13. Advanced problem-solving skills

Additional Information
All your information will be kept confidential according to EEO guidelines.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
McWane is a Federal VEVRAA contractor, and an Equal Opportunity Employer committed to providing equal employment opportunity in all employment practices. McWane will not discriminate against any applicant for employment because of their race, color, religion, sex, national origin, age, sexual orientation, disability, veteran or service member status, marital status, citizenship status (In IL - sex, including same sex, ancestry, order of protection status, physical or mental disability, military status, pregnancy, unfavorable discharge status, genetic information), (In IA - gender identity), (In CA- gender identity or expression, and genetic information) or any other category protected by federal, state or local law.

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