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Manager Data Analytics Engineer Jobs in Nebraska

Analytics Engineer

Scottsbluff, NE · On-site

$70K - $75K/yr

Bachelor's degree in Data Analytics, Information Systems, Computer Science, or equivalent experience * 2+ years in Business Intelligence, Analytics Engineering, or Process Automation * Experience ...

Analytics Engineer

Scottsbluff, NE · On-site

$70K - $75K/yr

Bachelor's degree in Data Analytics, Information Systems, Computer Science, or equivalent experience * 2+ years in Business Intelligence, Analytics Engineering, or Process Automation * Experience ...

The Analytics Engineer will be responsible for transforming raw data into analytics-ready datasets to support enterprise reporting and business decision-making, collaborating with various teams to ...

Data Modeling & Analytics Engineering Design, build, and maintain analytics ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts, facts ...

Data Modeling & Analytics Engineering Design, build, and maintain analytics ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts, facts ...

Data Modeling & Analytics Engineering • Design, build, and maintain analytics ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts ...

Required : • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or ... management. Company : HDR is an employee-owned design firm specializing in engineering ...

Sr Data Analytics Developer Apply now Job no: 504881 Work type: Full Time Regular Location: Remote ... Understands and influences data management processes, including internal and external data feeds ...

Senior Analytics Engineer

Omaha, NE

$100K - $137K/yr

Experience with governance practices for documentation, lineage, and change management. Required ... Minimum 5 years of analytics or data experience with demonstrated ownership of complex analytical ...

Lead the design and delivery of analytics-ready data models and transformation layers using dbt as the standard framework * Establish and enforce dbt development standards, including model design ...

Senior Analytics Engineer

Omaha, NE · On-site

$100K - $137K/yr

... management. Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience. • Minimum 5 years of analytics or data ...

... Use managed dependencies and reusable components (e.g., shared functions/templates) for ... Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Data ...

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... Apply AIOps/MLOps practices for deployment, monitoring, and lifecycle management Collaboration ...

Use managed dependencies and reusable components (e.g., shared functions/templates) for ... Experience in analytics, BI, or data roles with demonstrated modeling and SQL proficiency. Ability ...

BA/BS degree in Computer Science, Information Systems, Analytics, Engineering, or related field * 5+ years of experience in Data Governance, Data Management, Analytics Engineering, or related ...

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Showing results 1-20

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 Developer

FMNE Insurance Company

Lincoln, NE • On-site

Full-time

Medical, Retirement

Posted 16 days ago


Job description

FMNE Insurance is seeking a Data Analytics Developer in our Actuarial Department. We’re looking for a highly analytical and solutions-oriented data professional who is passionate about transforming complex data into meaningful insights that support actuarial and business decision-making. The ideal candidate is collaborative, technically strong, and detail-focused, with the ability to manage multiple priorities, build trusted relationships across teams, and develop efficient, reliable data solutions. Join a stable, values-driven company with deep Midwest roots and a strong team-focused culture.

This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full-time basis. Please submit a resume and cover letter for consideration.

We offer a competitive salary and a comprehensive benefits package, including health coverage, a generous 401(k), pension plan, wellness programs and a hybrid work model for eligible employees.


Role Overview of a Data Analytics Developer

The Data Analytics Developer is a critical member of the Actuarial team and is responsible for, but not limited to, the preparation, transformation, and integration of data for accurate and effective actuarial analyses. This role collaborates closely with Data Scientists, Actuarial Analysts, and other stakeholders to ensure data quality, reliability, and performance of solutions.

Responsibilities of a Data Analytics Developer
  • Demonstrates the Company’s mission, while successfully performing its core values related to integrity, service, excellence, stability, strength, respect, and teamwork.
  • Responsible for extracting, transforming, and loading (ETL/ELT) data to support actuarial analysis.
  • Perform data cleansing, transformation, and validation processes for data integrity and accuracy.
  • Create tables, views and stored procedures to support Actuarial processes.
  • Collaborate with the actuarial team to understand data requirements and provide accurate, timely data for pricing, reserving, and other actuarial functions.
  • Design, develop and maintain dashboards, reports and visualizations that empower stakeholders to make data-informed decisions and drive business outcomes.
  • Work in conjunction with the IT department to maintain up-to-date and optimized actuarial infrastructure.
  • Understand and work with colleagues to ensure continued compliance with data governance standards and security policies.
  • Maintain ETL processes, reports and dashboards.
  • Work closely with other departments to understand business needs.
  • Build and maintain trust with key stakeholders.
  • Regular and timely attendance in the office is an essential function of the position.
Skills and Qualifications of a Data Analytics Developer
  • Bachelor’s degree in MIS, Computer Science, or other analytical areas.
  • Minimum of three years of experience working with data.
  • Must possess strong SQL skills.
  • Knowledge of SQL Server, SSIS, SSRS, Power BI or equivalent.
  • Experience with Python and/or R.
  • Familiar with Azure data services including Azure Data Factory (ADF).
  • Strong ability and desire to use technology to solve complex problems.
  • Knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms.
  • Knowledge of insurance industry preferred.
  • Aptitude for solving complex problems and overcoming challenges, demonstrating resilience and adaptability in finding solutions.
  • Demonstrated success in addressing business needs with analytics.
  • Ability to manage multiple tasks at the same time in a dynamic environment.
  • Excellent oral and written communication skills, self-driven, and strong quantitative, analytical, and interpersonal skills.

FMNE Insurance Company recognizes that an individual with a disability may require accommodation to enable them to successfully perform a job function. Should you require such accommodation, please indicate the job function and suggested accommodation during the interview process. FMNE will attempt to make reasonable accommodation.