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Data Analyst Power Bi Developer Jobs in Kansas (NOW HIRING)

BI ETL Data Developer II * Ability to analyze complex data and develop practical, scalable ... solutions. * Ability to troubleshoot and resolve data pipeline and data quality issues in a timely ...

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

... programming and evaluation tools, including open-source programs to plan models and extract ... Examples include PowerBi, Power Automate, Excel, Outlook, etc. Strong organizational skills with an ...

... Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL * Deep ... Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and ...

Familiarity with data analysis tools (Power BI, SQL Server, Excel, Tableau) * Work experience in banking, marketing, or customer service * Understanding of the principals of banking EEO/Veterans ...

... data sources. * Design, develop, and maintain recurring and ad hoc financial and operational reports, dashboards, and analyses using SQL, Power BI, SSRS, and Excel. * Develop, optimize, and maintain ...

Familiarity with data analysis tools (Power BI, SQL Server, Excel, Tableau) * Work experience in banking, marketing, or customer service * Understanding of the principals of banking EEO/Veterans ...

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Support early analytics, BI, and data science use cases. * Guide engineers and analysts on best ... Experience with Databricks, Azure Data Factory, and Power BI. * Strong understanding of modern ...

Data Architect

Topeka, KS · Hybrid

$131K - $177K/yr

Support early analytics, BI, and data science use cases. * Guide engineers and analysts on best ... Experience with Databricks, Azure Data Factory, and Power BI. * Strong understanding of modern ...

Showing results 41-60

Data Analyst Power Bi Developer information

How does a data analyst Power BI developer typically collaborate with other departments within an organization?

Data Analyst Power BI Developers often work closely with stakeholders from various departments, such as finance, marketing, and operations, to understand their data needs and translate them into actionable dashboards and reports. They collaborate with IT teams to ensure data sources are accurate and accessible, and may participate in cross-functional meetings to gather requirements or present analytical findings. This role requires strong communication skills to bridge the gap between technical data work and business objectives, ensuring that insights are both useful and user-friendly for non-technical audiences.

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

To excel as a Data Analyst Power BI Developer, you need strong analytical skills, proficiency in data modeling, and a solid foundation in statistics, often backed by a degree in a quantitative field. Expertise in Power BI, SQL, Excel, DAX, and possibly certifications like Microsoft Certified: Data Analyst Associate are commonly required. Attention to detail, problem-solving ability, and effective communication are critical to translate data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, impactful reporting, and successful collaboration to drive business decisions.

What is a data analyst Power BI developer?

Data Analyst Power BI Developers are professionals who specialize in collecting, processing, and analyzing data to help organizations make informed decisions. They use Microsoft Power BI, a powerful business analytics tool, to visualize data and create interactive dashboards and reports. These professionals work closely with stakeholders to understand business requirements, gather and transform data from various sources, and present insights in a clear and actionable format. Their role often combines strong analytical skills, knowledge of databases, and expertise in Power BI to turn raw data into meaningful business intelligence.

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

AspectData Analyst Power Bi DeveloperData Analyst
Required SkillsData visualization, Power BI, SQL, data modelingData analysis, Excel, SQL, reporting
CertificationsPower BI certifications, SQL certificationsExcel certifications, data analysis certifications
Work EnvironmentBusiness intelligence teams, data departmentsVarious departments, analytics teams
Industry UsageFinance, marketing, sales, ITFinance, healthcare, retail, many sectors

While both roles involve data analysis, a Data Analyst Power Bi Developer specializes in creating interactive dashboards and reports using Power BI, focusing on data visualization and BI solutions. A Data Analyst may perform broader data analysis tasks across different tools and platforms. The Power BI Developer role often requires specific certifications and technical skills related to Power BI, whereas a Data Analyst's skills are more general. Both roles are essential in data-driven organizations but serve different functions within the analytics ecosystem.

What are popular job titles related to Data Analyst Power Bi Developer jobs in Kansas? For Data Analyst Power Bi Developer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Analyst Power Bi Developer jobs in Kansas look for? The top searched job categories for Data Analyst Power Bi Developer jobs in Kansas are:
What cities in Kansas are hiring for Data Analyst Power Bi Developer jobs? Cities in Kansas with the most Data Analyst Power Bi Developer job openings:
Infographic showing various Data Analyst Power Bi Developer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Re-posted 13 days ago


CommunityAmerica Credit Union rating

8.5

Company rating: 8.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Summary
TruHome Solutions is seeking a hands-on, technically strong Manager of Data Platforms to lead the foundation that powers our data and analytics capabilities. TruHome provides mortgage origination and servicing solutions to credit unions across the country, and data is central to how we serve our clients. Our platforms power outbound data feeds, operational and analytical reporting, and the insights our internal teams and credit union clients rely on every day.
This role manages a small team and is responsible for both the Data Platform (including the data warehouse, integration pipelines, and a future cloud data platform) and the BI Platform built on Power BI. The manager will run and stabilize the existing SQL Server-based environment while playing a lead role in standing up a new cloud data platform on Databricks and Azure, maturing Power BI as the enterprise BI standard, and expanding both platforms to support additional business areas.
The ideal candidate is a player-coach with depth across data engineering and BI platforms, equally effective leading a team, partnering with business stakeholders, and managing day-to-day delivery. They should be a quick business learner who can navigate the nuances of mortgage origination and servicing and communicate clearly with both technical and non-technical audiences.
Duties & Responsibilities
  • Lead and develop a small team responsible for the Data and BI Platforms; foster a culture of technical excellence, accountability, and continuous learning.
  • Own day-to-day operations of the SQL Server data warehouse, ETL/ELT pipelines, and outbound data feeds to member credit unions; ensure reliability, accuracy, and timely delivery.
  • Own and mature the BI platform end-to-end, including Power BI environment administration, semantic model and dataset standards, workspace and capacity governance, report performance, and operational/paginated reporting. Expand its footprint and self-service adoption across TruHome business areas.
  • Help shape and execute on the data and analytics strategy for TruHome, including the design and stand-up of a new cloud data platform on Databricks and Azure.
  • Drive maturity of the enterprise data warehouse by improving data integration, modeling, quality, and documentation, so it can serve as a trusted source for outbound feeds, reporting, and future analytical use cases.
  • Embrace and apply AI capabilities, including AI-assisted development, natural-language analytics (e.g., Databricks Genie), and AI features within the BI platform, to accelerate team productivity and improve data accessibility for business users.
  • Manage the intake, prioritization, and delivery of platform work using Agile/Scrum practices.
  • Serve as a trusted partner to TruHome business leaders and credit union clients. Translate business needs into platform capabilities, communicate progress and tradeoffs clearly, and build credibility through reliable delivery.
  • Support onboarding of new credit union clients by leading the build-out of outbound data pipelines required to integrate with their core and other downstream systems.
  • Support data governance, security, privacy, and regulatory compliance requirements relevant to mortgage servicing and credit union data, partnering with risk, compliance, and information security teams.
  • Manage select vendor relationships and assist with budget planning for tools, licenses, and contractors across the data and BI platforms.

Requirements
Education and Experience Requirements
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related quantitative or technical field required; Master's degree preferred.
  • 8 to 12 years of progressive experience in data engineering, business intelligence, analytics, or data/BI platform roles, with meaningful exposure across both data platform and BI platform domains.
  • 3 to 5 years of experience leading or managing small technical teams, including hiring, performance management, and team development.
  • Demonstrated experience building out or standing up cloud data platforms, ideally on Azure with Databricks. Equivalent experience on other major cloud data platforms (e.g., Snowflake, AWS, GCP) will be considered if paired with strong Spark fundamentals.
  • Exposure to maturing a BI platform (establishing standards, scaling adoption, improving semantic models and report quality, and enabling self-service) is preferred.
  • Experience in mortgage origination, mortgage servicing, banking, lending, or other financial services data environments highly preferred. Candidates without direct domain experience must clearly demonstrate a track record of quickly learning new business domains.
  • Experience working in Agile/Scrum environments and managing team delivery through structured backlogs and sprints.
Required Knowledge, Skills and Abilities
  • Strong hands-on skills with SQL Server, including SSIS for ETL development and maintenance, stored procedure development, query optimization, and performance tuning.
  • Strong hands-on skills with the modern data stack: Python, PySpark, Spark SQL, and cloud data platform services (Databricks, Azure Data Lake Storage, Azure Data Factory or equivalent orchestration).
  • Solid data modeling skills across multiple paradigms (3rd Normal Form / ODS, dimensional/Kimball-style, and modern lakehouse / medallion patterns), with judgment on when each is appropriate.
  • Good working knowledge of the Power BI platform, including semantic/tabular model design, DAX, workspace and capacity management, dataset governance, and report performance tuning. Able to set technical direction and standards for the BI platform.
  • Familiarity with DevOps / DataOps practices including Git-based source control, CI/CD pipelines (Azure DevOps or GitHub Actions), code review, and environment management.
  • Awareness of data governance, security, and privacy practices relevant to regulated financial services environments.
  • Curiosity about and practical experience applying AI tools in data engineering and BI workflows (e.g., GitHub Copilot, Databricks Assistant/Genie, Power BI Copilot); willingness to experiment, evaluate, and bring forward what works.
  • Excellent written and verbal communication skills, with the ability to translate between technical and business audiences and to communicate confidently with senior leaders and external clients.
  • Effective people leader and strong stakeholder manager. Able to coach a small technical team, set expectations, push back constructively, and build long-term trust.
  • Pragmatic and outcome-oriented; able to balance maintaining a running business with iteratively introducing modern platforms and practices, and to manage competing priorities across operational support, project delivery, and platform modernization.

What CommunityAmerica Credit Union employees say

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