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Manager Data Analytics Engineer Jobs in Fairfield, IA

Engineer Internship

Fairfield, IA · On-site

$14.50 - $19/hr

You'll gain exposure to new product development, manufacturing engineering, automation, IoT systems, robotics, embedded controls, data analytics, and quality engineering-all while contributing to ...

Engineer Internship

Fairfield, IA · On-site

$14.50 - $19/hr

You'll gain exposure to new product development, manufacturing engineering, automation, IoT systems, robotics, embedded controls, data analytics, and quality engineering-all while contributing to ...

... management, or refrigeration. * Experience establishing instrumentation, data acquisition, measurement, and engineering test methods. * Experience with statistical analysis, Design of Experiments ...

Job Title Maintenance Reliability Engineer - Foundry Operations Reports To Maintenance Manager ... Experience with CMMS systems and reliability data analysis * Proven ability to lead RCFA and drive ...

Job Title Maintenance Reliability Engineer - Foundry Operations Reports To Maintenance Manager ... Experience with CMMS systems and reliability data analysis * Proven ability to lead RCFA and drive ...

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Manager Data Analytics Engineer information

See Fairfield, IA salary details

$38.8K

$113.1K

$154.8K

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

As of Sep 15, 2026, the average yearly pay for manager data analytics engineer in Fairfield, IA is $113,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,900.00 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 job categories do people searching Manager Data Analytics Engineer jobs in Fairfield, IA look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Fairfield, IA are:

What cities near Fairfield, IA are hiring for Manager Data Analytics Engineer jobs?

Cities near Fairfield, IA with the most Manager Data Analytics Engineer job openings:

Academic Records & Data Manager

Fairfield, IA • On-site

Maharishi International University
Colleges, Universities, and Professional Schools • 501 - 1,000 employees

Other

Posted 3 days ago

New


Job description

About the Role
The Academic Records and Data Manager is a critical leadership role responsible for the lifecycle of the student record and the integrity of institutional data. This position balances high-level compliance-serving as the primary coordinator for federal and accreditation reporting (IPEDS, HLC)-with the management of complex enrollment actions, including university-wide withdrawals, directed studies, internships, and more. The successful candidate will ensure that data management practices are both operationally efficient and compliant with all regulatory standards.
Key Responsibilities
  • Specialized Academic Operations: Oversee the end-to-end processing of complex enrollment changes: course drops, swaps, and university withdrawals. Coordinate with the Financial Aid office to ensure withdrawal dates and data points are accurately synchronized for Title IV compliance. Manage the approval and administrative workflow for Directed Study and Internship proposals, ensuring all institutional requirements and credit-hour standards are met.
  • Data Governance & Institutional Compliance: Serve as the lead coordinator for mandatory institutional reporting, including IPEDS, NC-SARA, HLC, and state-level data requests. Collaborate with stakeholders across the university (Financial Aid, Admissions, IT, and Provost's Office) to ensure data consistency and accuracy for external audits. Perform regular data audits to safeguard the integrity of the Student Information System (SIS).
  • Strategic Records Management: Act as a subject matter expert on FERPA and university policy regarding student records. Maintain and update the technical configuration of the academic catalog and registration modules within the SIS. Perform degree audit checks as needed. Maintain and update program-specific degree audit information in the SIS. Develop standard operating procedures (SOPs) for enrollment workflows to increase intradepartmental efficiency and transparency.
  • Department and Faculty Support & Problem Solving: Provide high-level technical and policy guidance to faculty and department heads regarding enrollment exceptions.
  • Student Support & Problem Solving: Resolve complex student record issues with a focus on accuracy, empathy, and adherence to university policy.
Qualifications
Required:
  • Education: Bachelor's degree in data management, Information Science, Business Administration, or a related analytical field.
  • Technical Experience: 1+ years of experience in a Registrar's office or a highly regulated data environment.
  • Ability to bridge the gap between technical data requirements and academic policy for diverse university stakeholders.
Preferred:
  • Master's Degree: Especially in Higher Education Administration or Data Analytics.
  • Regulatory Knowledge: Demonstrated understanding of FERPA, IPEDS, and higher education accreditation standards (e.g., HLC).
  • Software Proficiency: Advanced skills in Excel (Pivot Tables, data cleaning) and direct experience with Student Information Systems (SIS).