We are seeking an experienced Power BI Report developer to play a pivotal role in delivering reports for a new product rollout.
You will meet regularly to review progress and adjust report visualizations with key stakeholders.
For this project, you will be developing Power BI reports from hundreds of millions of unaggregated rows of IoT data stored in AWS Redshift.
You should be skilled at creating highly optimized aggregate queries with a keen understanding of how to leverage partitioning and indexing.
Responsibilities
* Work with stakeholders to understand objectives, important metrics, and how they measure business performance.
* Create visualizations that empower internal customers to make informed business decisions.
* Develop, secure, and maintain data and reporting according to best practices.
* Account for the accuracy of the data presented to internal customers through validation processes and testing procedures.
* Assemble large, complex data sets that meet business requirements.
* Create and optimize data models to ensure efficient data retrieval and analysis.
* Investigate and resolve issues in BI tools and reports reported by end users.
Skills & Qualifications
* 5+ years of advanced Power BI development skills, including data visualization, performance tuning, and UX optimization.
* Experience with AWS Redshift Database.
* Demonstrated ability to interpret stakeholder requests and translate into actionable insights.
* Proficiency in data modeling, particularly with star schema designs for reporting and analysis.
* Expertise in SQL for data preparation, optimization, and transformation.
* Proficient in DAX for creating calculations, measures, and Calculation Groups.
* Skilled in Power Query and M code for data transformation and troubleshooting.
* Excellent writing and communication skills for clear documentation, collaboration, and troubleshooting.
* Working knowledge of version control systems for managing code and collaboration.
* Experience in setting up and maintaining local development and testing environments.
* Basic understanding of data engineering concepts, including ETL processes and data pipelines.