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Manager Data Analytics Engineer Jobs in Nebraska

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical ...

Data Engineer

Offutt Air Force Base, NE · On-site

$77K - $176K/yr

Data Engineer Offutt AFB, NE Secret Polygraph Unspecified Career Level not specified $77,500 - $176 ... You'll use your experience in analytical exploration and data examination while you manage the ...

Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and ... Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R)

Data Engineer

Omaha, NE

$109K - $131K/yr

Warehouse Management: Design and optimize data environments, including Data Warehouses and Data ... Analytical Background: A background in mathematical and statistical analysis is highly preferred to ...

Cyber Data Protection Manager

Omaha, NE · Hybrid

$106K - $143K/yr

The Cybersecurity Data Protection Manager is responsible for leading and managing a diverse team of Cyber Security Engineers and Analysts in developing, implementing, and providing day-to-day support ...

... and data engineering , along with the ability to translate complex data into actionable ... Perform advanced data analytics, data mining, and statistical analysis to uncover actionable ...

... and data engineering , along with the ability to translate complex data into actionable ... Perform advanced data analytics, data mining, and statistical analysis to uncover actionable ...

... analytics. You will partner closely with leadership, architects, and business stakeholders to ... Drive the transition from vendor-managed data solutions to internally owned, end-to-end data ...

Analyze, interpret, and compile large amounts of data to find impactful insights that drive ... programming experience can be substituted for education on a year for year basis. Preferred ...

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Manager Data Analytics Engineer information

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 the most commonly searched types of Data Analytics Engineer jobs in Nebraska? The most popular types of Data Analytics Engineer jobs in Nebraska are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Nebraska? For Manager Data Analytics Engineer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Nebraska look for? The top searched job categories for Manager Data Analytics Engineer jobs in Nebraska are:
What cities in Nebraska are hiring for Manager Data Analytics Engineer jobs? Cities in Nebraska with the most Manager Data Analytics Engineer job openings:
Data Analytics / Data Visualization Internship (Fall 2026)

Data Analytics / Data Visualization Internship (Fall 2026)

Nebraska State Jobs

Lincoln, NE • On-site

$18/hr

Part-time

Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Nebraska Department Of Transportation rating

7.5

Company rating: 7.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

389th of 663 rated public administrative organizations


Job description

The work we do matters!
Hiring Agency:
Health & Human Services - Agency 25
Location:
Lincoln, NE
Hiring Rate:
$18.000
Job Posting:
JR2026-00026645 Data Analytics / Data Visualization Internship (Fall 2026) (Evergreen) (Open)
Applications No Longer Accepted On (If no date is displayed, job is posted as open until closed):
06-26-2026
Job Description:
The Data Analytics / Data Visualization Intern will support the DHHS data team by analyzing and interpreting data to help inform decision-making across the organization. This internship provides hands-on experience working with modern data platforms, visualization tools, and large datasets to develop meaningful insights that support public service initiatives across Nebraska.
Location: Onsite in Lincoln, NE
Application Review: June 1st, 2026
Application Deadline: June 26th, 2026
Key Responsibilities
  • Analyze and interpret datasets to identify trends, patterns, and insights that support organizational decision-making
  • Work with data consumers and subject matter experts (SMEs) to understand business rules and context behind available data
  • Assist in validating data quality, accuracy, and completeness across multiple datasets
  • Support the development and maintenance of dashboards and reports using data visualization tools
  • Collaborate with cross-functional teams to deliver data solutions that meet business needs
  • Monitor and troubleshoot issues in reports or dashboards
  • Participate in Agile or project-based activities such as team stand-ups and sprint reviews
  • Assist with compiling and presenting findings in a clear and meaningful way for stakeholders

Requirements / Qualifications
Minimum Qualifications:
  • Currently enrolled in an undergraduate or graduate degree program at an accredited college or university (two-to-four-year institution) OR recently graduated (within one year) from an undergraduate or graduate degree program at an accredited college or university (two-to-four-year institution).

Preferred Qualifications:
  • Currently pursuing a degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, or a related field
  • Basic knowledge of data analysis concepts and tools
  • Familiarity with SQL or data querying concepts preferred
  • Interest in data visualization and dashboard development
  • Strong problem-solving and analytical thinking skills
  • Ability to collaborate and communicate effectively with technical and non-technical team members

What You'll Gain from this Experience
  • Hands-on experience with modern data tools such as Databricks, Snowflake, Azure Data Factory, Power BI, and Tableau
  • Experience working with real-world data to support public sector decision-making
  • Exposure to cloud-based data platforms and enterprise data environments
  • Mentorship from experienced engineers and analysts
  • Opportunities to develop both technical and professional skills while contributing to projects that impact the people of Nebraska

Location: Onsite in Lincoln, NE
Application Review: June 1st, 2026
Application Deadline: June 26th, 2026

If you're currently employed by the State of Nebraska, please don't apply through this external career site. Instead, log in to Workday and open the Jobs Hub - Internal Apply app from your home landing page. You can access Workday anytime through the Link web page: https://link.nebraska.gov/
Benefits
We offer a comprehensive package of pay, benefits, paid time off, retirement and professional development opportunities to help you get the most out of your career and life. Your paycheck is just part of your total compensation.
Check out all that the State of Nebraska has to offer! Benefit eligibility may vary by position, agency and employment status. For more information on benefits, please visit: https://statejobs.nebraska.gov/index.html#benefits
Equal Opportunity Statement
The State of Nebraska values our teammates as well as a supportive environment that strives to promote diversity, inclusion, and belonging. We recruit, hire, train, and promote in all job classifications and at all levels without regard to race, color, religion, sex. age, national origin, disability, marital status or genetics.

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