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Data Bi Engineer Jobs in Iowa (NOW HIRING)

We are looking for an enthusiastic and motivated BI & Data Analyst to join our EMEA Data ... Proficiency in SQL, Python, R, or other programming languages commonly used in data analysis, with ...

As a Senior BI Analytics Engineer, you will play a critical role in transforming enterprise data into meaningful, actionable insights that drive strategic business decisions across Athene. Serving as ...

Associate Data Engineer

Urbandale, IA · On-site +1

$108K - $130K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Enable analytics and BI use cases by making curated data easily consumable in Power BI and other ...

Associate Data Engineer

Urbandale, IA · On-site +1

$108K - $130K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Enable analytics and BI use cases by making curated data easily consumable in Power BI and other ...

Data Science Lead

Des Moines, IA · On-site

$121K - $146K/yr

Data science Data Modeling and Machine Learning modeling, or analytics Azure Machine Learning Azure Data Factory Azure Databricks Azure DevOps Azure AI Foundry Power BI Programming with Python and ...

AWS Data Engineer (Financial)

Cedar Rapids, IA · On-site

$112K - $134K/yr

BI & Reporting Tools: * Power BI: Experience developing datasets, semantic models, dashboards, and ... Experience leveraging AI tools and technologies to enhance data engineering or analytics workflows.

Data Engineer III

Des Moines, IA · On-site

$111K - $134K/yr

Develops specifications and plans the full range of programming actions to produce data integration ... Collaborates with cross-functional teams to understand business and downstream application (BI ...

Data Engineer III

Des Moines, IA

$111K - $134K/yr

Develops specifications and plans the full range of programming actions to produce data integration ... Collaborates with cross-functional teams to understand business and downstream application (BI ...

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Data Bi Engineer information

What are Data BI Engineers?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI Engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What are the key skills and qualifications needed to thrive as a Data BI Engineer, and why are they important?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.
What are popular job titles related to Data Bi Engineer jobs in Iowa? For Data Bi Engineer jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Data Bi Engineer jobs? Cities in Iowa with the most Data Bi Engineer job openings:
Data & BI Analyst

Full-time

Re-posted yesterday


Job description

We are looking for an enthusiastic and motivated BI & Data Analyst to join our EMEA Data & Analytics team.

This is a great opportunity for someone eager to learn, contribute hands-on, and grow within a collaborative and supportive environment. The role combines structured analytics work with day-to-day operational support, ensuring strong exposure across the full data lifecycle.

As a BI & Data Analyst, you will play a crucial role in extracting actionable insights from large datasets to drive informed business decisions, aiming to support the EMEA organization. Leveraging data and data visualization tools, you will contribute to the enhancement of business performance. The role involves collaborating with all members of the Data & Analytics team, supporting on operational and ad-hoc data requests as part of day-to-day business needs, interpreting complex data sets, and presenting findings in a clear and concise manner to support organizational goals.


1. Data Analysis & Business Support

a. Perform hands-on data analysis to support commercial and sales teams across EMEA
b. Investigate trends, identify issues, and help answer ad-hoc business questions
c. Support recurring reporting processes and ensure accuracy and timeliness

2. Reporting & Visualization

a. Build and maintain dashboards and reports (primarily in Power BI)
b. Translate business needs into clear, user-friendly data visualizations
c. Help improve existing reports and standardize KPIs

3. Data Preparation & Modeling

a. Write and optimize SQL queries to extract and transform data
b. Support development and maintenance of data models, dataflows, and semantic models
c. Contribute to ELT processes, ensuring efficient data transformation and integration

4. Automation & Process Optimization

a. Manage and maintain existing Power Automate flows to support business processes
b. Design and implement new automated workflows to improve efficiency and reduce manual effort

5. Team Collaboration

a. Work closely with senior analysts and stakeholders to deliver insights
b. Support ongoing projects and gradually take ownership of smaller initiatives
c. Learn from experienced team members and contribute to knowledge sharing

6. Continuous Learning & Improvement

a. Develop your technical and business skills with support from the team
b. Contribute ideas to improve reporting, processes, and data quality
c. Stay curious and proactive in understanding the business context

  • Bachelor's or Master's degree in a relevant field such as Statistics, Mathematics, Computer Science, or a related discipline.
  • Minimum 2-5 years of experience in BI, data analysis, or a related role. We are open to strong junior candidates with the right mindset.
  • Mandatory strong experience with data visualization tools such as Tableau or Power BI. Microsoft Power BI Certification would be a strong plus.
  • Advanced proficiency in Microsoft Excel, including complex formulas (e.g. INDEX/MATCH, SUMIFS), pivot tables, and automation using Power Query, Power Pivot, and macros (VBA) to streamline data processing, reporting, and repetitive tasks.
  • Proficiency in SQL, Python, R, or other programming languages commonly used in data analysis, with exposure to data modeling. Exposure to data modeling, statistical methods, and machine learning techniques.
  • Experience managing semantic models, dataflows, and supporting ELT processes.
  • Experience working with Power Automate, including maintaining existing flows and building new workflows.
  • Strong Excel skills (e.g., advanced formulas, data manipulation, analytical modeling).
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Excellent communication and presentation skills. Fluent in English is mandatory, with the ability to communicate effectively at all levels of the organization.

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