ZipRecruiter

Log In

1

Manager Data Analytics Engineer Jobs in Iowa (NOW HIRING)

Pwc

Data Engineer - Manager

Des Moines, IA · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Athene

Sr BI Analytics Engineer

West Des Moines, IA · On-site

$50 - $65/hr

As a Senior BI Analytics Engineer, you will play a critical role in transforming enterprise data ... Management, where innovation, speed, and continuous improvement are core to how we deliver value ...

Pwc

Data Engineer - Senior Manager

Des Moines, IA · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Three Point Solutions

Supply Chain Analyst

Dubuque, IA · On-site

$20 - $21/hr

Background in engineering, customer service, or data analytics * Experience with engineering change management processes Education * Degree or equivalent experience in Engineering, Technology ...

next page

Showing results 1-20

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Iowa

Manager Data Analytics Engineer information

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 are popular job titles related to Manager Data Analytics Engineer jobs in Iowa?

For Manager Data Analytics Engineer jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Iowa look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Iowa are:

What cities in Iowa are hiring for Manager Data Analytics Engineer jobs?

Cities in Iowa with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Iowa as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer / BI Developer-Databricks

Transcend IT Solutions

Des Moines, IA • On-site

$111K - $134K/yr

Other

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

Job description

Position Tittle: Data Analytics Engineer / BI Developer
Location: Hybrid – Des Moines, IA metro-live in Iowa or midwest and will fully relocate
Duration: Long Term
 
Job Details:
 
More Data Engineer than Analyst with strong Databricks. Need someone that is more personable
 
We are seeking a Data Analytics Engineer (Databricks) / BI Developer to support a growing enterprise data modernization initiative. This role will sit at the intersection of data analytics and data engineering, helping rebuild and modernize reporting solutions while leveraging newer Databricks-based technologies and cloud data tools.
 
This position is ideal for someone who enjoys both the analytical side of delivering business insights and the technical side of supporting data transformation efforts. The environment is still evolving, so the ideal candidate should be comfortable operating in a collaborative, fast-moving setting where foundational reporting and data capabilities are actively being built out.
 
This position will include exposure to Databricks, transformation logic, and notebook development alongside a stronger focus on dashboarding, reporting modernization, and business insight delivery.
 
Key Responsibilities:
Reporting & Dashboard Modernization
Rebuild and modernize enterprise reporting solutions using newer cloud-based and Databricks-enabled technologies.
Design and develop dashboards, visualizations, and reporting solutions that provide meaningful business insights and operational visibility.
Partner with business stakeholders to understand reporting needs, KPIs, and analytical requirements.
Databricks & Data Transformation Support
Assist with data transformation activities within Databricks environments.
Support development and maintenance of Databricks notebooks and transformation workflows.
Collaborate with data engineering and analytics teams to improve data accessibility and reporting performance.
Help bridge the gap between raw data engineering efforts and business-facing analytics solutions.
Data Analysis & Insights
Analyze datasets to identify trends, anomalies, and actionable insights that support business decision-making.
Support data validation, quality checks, and reporting accuracy initiatives.
Translate complex data into clear and consumable business intelligence outputs.
Cross-Functional Collaboration
Work closely with analytics, engineering, business, and leadership teams to support modernization initiatives.
Assist in defining reporting standards, best practices, and scalable analytics solutions.
Communicate findings and recommendations effectively to both technical and non-technical audiences.
 
Continuous Improvement:
Support ongoing modernization of reporting architecture and analytics capabilities.
Stay current on evolving Databricks, BI, and cloud analytics technologies.
Identify opportunities to improve reporting efficiency, automation, and data usability.
 
Required Qualifications:
3+ years of experience in data analytics, BI development, reporting, or related data-focused roles.
Experience developing dashboards and reporting solutions using Power BI or similar BI platforms.
Strong SQL and data analysis skills.
Exposure to Databricks or modern cloud-based analytics environments.
Understanding of data transformation concepts and analytical workflows.
Strong communication and collaboration skills.
 
Preferred Qualifications:
Experience working with Databricks notebooks and transformation logic.
Exposure to Azure data technologies and cloud-based analytics platforms.
Experience supporting reporting modernization initiatives.
Understanding of data modeling and analytics architecture concepts.
Ability to operate between technical and business-focused teams.
 
Technical Skills:
Power BI
SQL
Databricks
Data Visualization
Dashboard Development
Data Transformation
Analytics & Reporting
Cloud Data Platforms
Databricks Notebooks
Excel
Business Intelligence Tools
Ideal Candidate Profile
 

Apply