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Power Bi Developer Jobs in Iowa (NOW HIRING)

VIVA USA INC

Quality Engineer

Waterloo, IA · On-site

$66K - $86K/yr

... with Power BI, Alteryx, Tableau, or Minitab software ASQ certifications such as CQE, CSSGB, and/or CSSBB Education Ideally you will have a degree or equivalent related work experience in the ...

Berkshire Hathaway Energy

Sr Data Scientist

Des Moines, IA · On-site

$117K - $146K/yr

... Microsoft Power BI. This individual contributes to model development, model testing, production ... Collaborate with stakeholders across the organization, including Performance Engineering, Asset ...

Baker Group

Stratus Specialist

Ankeny, IA · On-site

... Power BI, SQL stores, etc.). * Develop, test, and maintain API scripts or automation workflows that pull data efficiently and securely. * Collaborate with IT, VDC, and process engineering to expand ...

Arconic

Staff Process Engineer

Bettendorf, IA

Power BI, R) * Data Historian (ex: PI, PI Datalink) * Understanding of database structures, data pipelines, and query optimization * Proficient in process analysis, process modelling, statistical ...

Arconic

Staff Process Engineer

Bettendorf, IA · On-site

Power BI, R) * Data Historian (ex: PI, PI Datalink) * Understanding of database structures, data pipelines, and query optimization * Proficient in process analysis, process modelling, statistical ...

Arconic

Staff Process Engineer

Bettendorf, IA · On-site

Power BI, R) * Data Historian (ex: PI, PI Datalink) * Understanding of database structures, data pipelines, and query optimization * Proficient in process analysis, process modelling, statistical ...

Three Point Solutions

Material Coordinator

Ankeny, IA · On-site

$22 - $24/hr

... Power BI • Knowledge of inventory management practices • High computer literacy and comfort ... engineering change and release processes • Works with Supply Chain, Engineering, and Production ...

Archer Daniels Midland

Proficiency with data analysis tools (e.g., Excel, Power BI). * Ability to influence and engage ... A bachelor's degree in Engineering, Physical Science, or equivalent work experience. Required ...

CONAGRA

Material Planning Manager

Council Bluffs, IA · On-site

$82K - $120K/yr

Ensure effective use of SAP and Power BI for material planning, inventory management, and reporting ... Bachelor's degree in Supply Chain, Business, Engineering, or related field * 5+ years of experience ...

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How much do power bi developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for power bi developer in Iowa is $50.52, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $57.79 per hour, depending on experience, location, and employer.

Is Power BI still in demand in 2026?

Power BI remains a highly sought-after skill for data analysts and business intelligence developers in 2026, as organizations continue to prioritize data visualization and reporting tools. Proficiency in DAX, data modeling, and cloud integration enhances job prospects, with demand driven by ongoing digital transformation initiatives across industries.

How much do Power BI developers make?

Power BI developers typically earn a salary ranging from $70,000 to $120,000 annually, depending on experience, location, and certifications. Entry-level roles may start lower, while experienced developers with advanced skills in data modeling and DAX can command higher salaries.

What are Power BI Developers?

Power BI Developers are IT professionals who specialize in using Microsoft's Power BI platform to create data models, interactive reports, and visualizations. They gather and analyze data from various sources, transform it into insightful dashboards, and help organizations make data-driven decisions. Their role often includes designing data pipelines, optimizing queries, and ensuring the accuracy and security of business intelligence solutions. Power BI Developers work closely with business stakeholders to understand requirements and deliver customized BI solutions.

What is the difference between Power Bi Developer vs Data Analyst?

AspectPower Bi DeveloperData Analyst
Required SkillsData modeling, DAX, Power BI tools, SQLData interpretation, Excel, SQL, visualization
CertificationsPower BI certifications, SQL certificationsMicrosoft certifications, Excel certifications
Work EnvironmentBusiness intelligence teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageReporting, dashboard creation, data visualizationData analysis, reporting, insights generation

While both roles involve working with data and visualization tools, Power Bi Developers primarily focus on building and maintaining Power BI dashboards and reports, often requiring advanced DAX and data modeling skills. Data Analysts interpret data, generate insights, and may use Power BI as one of their tools. The roles overlap but differ in technical depth and focus areas.

Is Power BI developer a good career?

A Power BI developer is a skilled professional who creates data visualizations and reports using Microsoft Power BI, often requiring knowledge of data modeling, DAX, and SQL. The role is in demand across industries such as finance, healthcare, and retail, with opportunities for career growth and certification. It offers a competitive salary and the chance to work in data-driven environments, making it a viable career choice for those interested in analytics and business intelligence.

Will AI replace Power BI jobs?

AI is unlikely to fully replace Power BI developers, as their role involves complex data modeling, visualization, and interpretation that require human expertise. Instead, AI tools are expected to augment their work by automating routine tasks, allowing developers to focus on more strategic analysis and insights. Staying updated with new features and developing skills in data modeling and DAX can help Power BI professionals remain valuable in the evolving landscape.

How does a Power BI Developer typically collaborate with business analysts and stakeholders to deliver effective data solutions?

Power BI Developers frequently work closely with business analysts and stakeholders to understand reporting needs and translate business requirements into interactive dashboards and data visualizations. This collaboration often involves iterative feedback sessions, where developers refine reports based on user input and evolving business objectives. Effective communication and a proactive approach to gathering requirements are essential, as is the ability to explain technical concepts in accessible terms. This team-oriented environment not only enhances the quality of BI solutions but also provides opportunities for professional growth and cross-functional learning.

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

To thrive as a Power BI Developer, you need expertise in data modeling, DAX/Power Query, and a solid understanding of database concepts, often supported by a degree in computer science or a related field. Familiarity with Power BI Desktop, Power BI Service, SQL, and relevant Microsoft certifications is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication set outstanding Power BI Developers apart. These skills are essential for transforming complex data into actionable insights that support business decision-making.
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Power Bi Developer jobs near you
Sr Data Scientist

Sr Data Scientist

Berkshire Hathaway Energy

Des Moines, IA

Full-time

Posted 17 days ago

Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

The sr data scientist is a member of the Data and Analytics Information Technology team, having a critical role in supporting the BHE (Berkshire Hathaway Energy) business transformations and asset performance management initiatives. The data scientist assists BHE business groups in translating business problems into technical and data requirements and participates in other Data and Analytics center of excellence initiatives.  This position works with information technology teams across the company to extract, transform, validate and load data into data lake and analytics software systems including Microsoft Azure and Microsoft Power BI. This individual contributes to model development, model testing, production support, data validation and data integrity efforts in the course of daily work. 

Provides Support to the Following Positions

Enterprise Analytics (IT), Berkshire Hathaway Energy,

Asset Performance and Investment Management, Berkshire Hathaway Energy,

Data Analytics Center of Excellence, Berkshire Hathaway Energy

MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

Bachelor's degree in computer science, mathematics, software engineering or a related technical field. Master's in data science or related technical field preferred. 

Eight or more years of experience in data science, with a proven track record of leading and delivering successful data science projects 

Demonstrated handson experience designing and building data science proofofconcepts and working with data from multiple sources, including relational databases, APIs, and modern data platforms (e.g., Delta tables), using SQL, PySpark, and Python.

Advanced proficiency in Python and/or R, with extensive experience using standard libraries for data wrangling (e.g., pandas, tidyverse), modeling (e.g., scikitlearn, caret, tidymodels), and data visualization (e.g., seaborn, ggplot2).

Established expertise in at least one core data science domain, such as supervised learning, timeseries analysis, or survival modeling, with the ability to apply these techniques to complex, realworld business problems.

Proven experience productionizing advanced analytics and machine learning models, including transitioning solutions from development to operational and production environments.

Strong practical foundation in descriptive and inferential statistics, including hypothesis testing, confidence intervals, correlation analysis, and related statistical methods.

Handson experience with enterprise data visualization tools (Power BI preferred) and at least one cloudbased data platform (Azure and Databricks preferred).

Excellent verbal and written communication skills, with the ability to clearly communicate technical concepts, analytical results, and recommendations to both technical and nontechnical stakeholders across multiple levels of the organization.

Strong leadership and interpersonal skills, with the ability to work independently, collaborate effectively within a team, and influence outcomes without direct authority.

Demonstrated initiative and resourcefulness, with the ability to navigate ambiguity, prioritize work effectively, and deliver results with limited guidance in a fastchanging environment.

Experience working in crossfunctional team environments, partnering with engineering, product, and business stakeholders to deliver datadriven solutions.

Preferred experience with Spark, Azure DevOps, and MLOps practices.

  • Mentor and support a team of data scientists by providing technical guidance and thought leadership to ensure successful project execution, while fostering a collaborative and innovative team environment.

    Demonstrated experience in team leadership, project planning and management, and stakeholder engagement.

    Partner with Product Owners to lead endtoend data science initiatives, from problem definition and data exploration through model development, validation, and deployment.

    Apply advanced statistical and machine learning techniques to analyze complex datasets, uncover meaningful patterns, and develop predictive and prescriptive models.

    Contribute to the company's data strategy by identifying opportunities to leverage data science to improve business processes, optimize operations, and drive revenue growth.

    Collaborate with stakeholders across the organization, including Performance Engineering, Asset Performance, and Transmission & Distribution, to understand data needs and deliver solutions aligned with business objectives.

    Stay current with advancements in data science, machine learning, and GenAI technologies; evaluate and help implement new tools, algorithms, and frameworks to enhance team capabilities.

    Ensure highquality documentation practices, including narrative documentation in wikis and technical documentation in versioncontrolled repositories.

    Operate within an agile environment that supports iterative development and continuous delivery.

    Communicate effectively with both technical and nontechnical audiences across multiple platforms, including meetings, chat, email, and video conferencing.

  • Effectively communicate with colleagues on both technical and non-technical topics, across a variety of communications platforms, including voice and video calls, chat, and email.

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