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Manager Data Analytics Engineer Jobs in Logan, UT

Aperia Technologies

Solutions Engineer, Remote

Logan, UT · On-site

$120K - $140K/yr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ... A degree in Engineering, Business administration or related field required. * 3+ years of ...

Aperia Technologies

Solutions Engineer, Remote

Logan, UT · On-site

$57.69 - $67.31/hr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ... A degree in Engineering, Business administration or related field required. * 3+ years of ...

Schreiber Foods, Inc.

Senior Manufacturing Engineer

Logan, UT · On-site

$78K - $107K/yr

This role applies engineering principles, data analysis, and crossfunctional collaboration to ... Ability to manage multiple priorities in a manufacturing environment. * Ability to travel up to ...

Schreiber Foods, Inc.

Senior Manufacturing Engineer

Logan, UT · On-site

$78K - $107K/yr

This role applies engineering principles, data analysis, and cross-functional collaboration to ... Ability to manage multiple priorities in a manufacturing environment. * Ability to travel up to ...

Schreiber Foods

Senior Manufacturing Engineer

Logan, UT · On-site

$78K - $107K/yr

This role applies engineering principles, data analysis, and cross-functional collaboration to ... Ability to manage multiple priorities in a manufacturing environment.Ability to travel up to ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Logan, UT

Manager Data Analytics Engineer information

See Logan, UT salary details

$38.4K

$111.9K

$153.1K

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

As of Aug 9, 2026, the average yearly pay for manager data analytics engineer in Logan, UT is $111,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $118,600.00 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 job categories do people searching Manager Data Analytics Engineer jobs in Logan, UT look for? The top searched job categories for Manager Data Analytics Engineer jobs in Logan, UT are:
What cities near Logan, UT are hiring for Manager Data Analytics Engineer jobs? Cities near Logan, UT with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you

Analytics Engineer - Student Success

Utah State University

Logan, UT • On-site

Other

Posted 21 days ago

Utah State University rating

7.2

Company rating: 7.2 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

383rd of 617 rated colleges and universities

Job description

Student Success Analytics Engineers play a central role in advancing the university's analytics capabilities in support of student achievement, learning outcomes, and institutional effectiveness. This position works closely with the Institutional Data Engineering team and the Deputy Chief Data & Analytics Officer to develop and maintain the analytical data models that power predictive analytics, student success reporting, and institutional decision-making. Student Success Analytics Engineers are responsible for transforming raw institutional data into curated, analytics-ready datasets through the development of a medallion data architecture (bronze, silver, gold layers). These datasets will enable advanced analytics, AI-powered applications, dashboards, and metrics related to student success, student services impact, academic program outcomes, and institutional value. This position serves as the technical bridge between data infrastructure and analytics users, ensuring that institutional data is modeled, documented, and structured to support high-quality insights for university leaders, faculty, advisors, and student success teams. USU is currently hiring for two positions to support the following areas of the university: Student Success Division: In this role the analytics engineer works closely with functional student success teams and leaders to translate operational and student engagement data into scalable analytical models that support student support program assessment, student retention and completion strategies, and continuous improvement efforts. The position will help integrate data from multiple university systems to provide actionable insights, dashboards, and reporting that improve the university's ability to identify student needs, evaluate interventions, and support student success outcomes across the institution. Center for Civic Excellence: In this role the analytics engineer will design, develop, and maintain data models, assessment analytics, and reporting systems that support the measurement and continuous improvement of student learning within the Center for Civic Excellence. This role will work closely with faculty, academic leaders, and center staff to develop scalable approaches for collecting, analyzing, and communicating evidence of student learning outcomes. The position will help translate assessment and instructional data into actionable insights that inform curriculum development, support data-informed teaching and learning practices, and strengthen the Center's ability to demonstrate educational quality, student growth, and institutional effectiveness. This position is eligible for hybrid work within the state of Utah

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