Data Analytics Engineer/BI Developer
Listed on 2026-05-29
-
IT/Tech
Data Analyst, Data Science Manager
6+ Month Contract
Location:
Hybrid - Des Moines, IA
Job Title:
Data Analytics Engineer / BI Developer
We are seeking a Data Analytics Engineer / 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.
While this is not a heavy raw pipeline engineering role, the 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Power BI
- SQL
- Databricks
- Data Visualization
- Dashboard Development
- Data Transformation
- Analytics & Reporting
- Cloud Data Platforms
- Databricks Notebooks
- Excel
- Business Intelligence Tools
The ideal candidate is someone who:
- Enjoys both technical problem solving and business-facing analytics work
- Can operate between analyst and engineering responsibilities
- Is excited about modernizing reporting environments
- Has exposure to Databricks and cloud analytics tools
- Understands how to transform data into meaningful business insights
- Thrives in collaborative and evolving environments
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