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Manager Data Analytics Engineer Jobs in Springfield, MO

The manager will collaborate with cross-functional teams to identify key performance indicators ... Lead the BI team in delivering high-quality data analytics and reporting solutions * Design ...

... Data Analyst to support the Pricing Data Manager in various pricing data initiatives. The role ... Responsibilities : • Create new and manage existing Pricing Department reports. • Have working ...

Continuous Improvement Engineer

Springfield, MO · On-site

$66K - $88K/yr

Identify and prioritize improvement opportunities through data analysis, process observation, and ... Strong project management skills with the ability to manage multiple priorities and hold peers ...

Identify and prioritize improvement opportunities through data analysis, process observation, and ... Strong project management skills with the ability to manage multiple priorities and hold peers ...

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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:
Workforce Planning Analyst

Workforce Planning Analyst

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,861 frontline employees who took The Breakroom Quiz

547th of 727 rated retailers


Job description

Analyze, evaluate and make recommendations relative to payroll budgets, staffing levels, schedule adherence, work volume and overall workforce management system performance to ensure excellent customer service and operational goals are met. Work with development teams, project managers and other internal and external parties to identify, implement and test configuration related to the workforce management software. Perform periodic application configuration and testing for existing and new stores added to the system. Review, analyze and make recommendations related to implementation of changes by the application vendor during routine software updates/releases. Analyze various workforce management data points for accuracy.
ESSENTIAL JOB FUNCTIONS
Gather and analyze data from multiple internal and external sources and make well informed recommendations regarding payroll budgets, staffing forecasts, and work schedules to insure excellent customer service and profitability goals are met.
Performs complex ad-hoc what-if analysis to identify trends, patterns and opportunities within the scope of workforce planning
Periodically analyzes key metrics imported from systems of record into the workforce management system (i.e. store operating hours, store type, adjustment drivers, goals, etc.)
Works with field management on event analysis, planning, exclusions and special circumstances that impact forecasting and scheduling. This will include analyzing and maintaining ongoing adjustments/exceptions in the workforce management system.
Responsible for setting up system configuration, user acceptance testing and supporting user adoption
Work with development teams, project managers, and other internal and external teams to implement and test changes to the workforce management system.
Work with IT teams to insure team member profiles, data views, reports and access levels are configured correctly, including user acceptance testing.
Provide support for analyzing and responding to JIRA tickets and various reported issues related to the scheduling and timekeeping system.
Review, analyze and make recommendations related to implementation of changes implemented by the application vendor during routine software updates/releases.
Provides reporting from the workforce management system to support multiple departments within the company.
Supports key areas of workforce management, including but not limited to budgeting, forecasting and scheduled hours allocation.
Provides phone support to stores and other departments regarding budgeting, forecasting and scheduling.
Works well under challenging working conditions, while meeting deadlines.
Other duties as assigned.
SKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES
Required:
High school diploma or equivalent
Must possess a high degree of proficiency with Microsoft Excel and Access
Must work well in a team environment
Problem solver and critical thinker
Excellent documentation, communication and organizational skills
Ability to analyze data, identify trends and patterns, and report on findings with recommendations
Previous data analytics experience
Attention to detail, self-starter and the ability to learn independently
Desired:
Bachelor's. degree in Business, Finance, or Accounting
2 years in Automotive Aftermarket with general understanding of programming standards, procedures and processes
Knowledge of database structures, computer flow charts, program logic and code
Previous experience in workforce management/planning
Self-motivated to a high level of achievement, excellent written/verbal communicator, analytical and able to make/recommend decisions in the best interest of O'Reilly Auto Parts
Is committed to any additional training as necessary to stay abreast of technology and apply it as it relates to workforce planning
Advanced skill set using SQL to perform queries and build comparisons
Advanced education and demonstrated experience in Project Management
O'Reilly Auto Parts has a proven track record of growth and stability. O'Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.
Total Compensation Package:
  • Competitive Wages & Paid Time Off
  • Stock Purchase Plan & 401k with Employer Contributions Starting Day One
  • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
  • Team Member Health/Wellbeing Programs
  • Tuition Educational Assistance Programs
  • Opportunities for Career Growth

O'Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.
Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: rar@oreillyauto.com or call (800) 471-7431 option , and provide your requested accommodation, and position details.

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