Power BI Developer

About the Role

Key Responsibilities

• Design dashboards and analyses to be performed, selecting appropriate visualization and analytics tools.
• Identify trends and patterns to address business questions and provide insights through reporting and data visualization techniques.
• Build various reporting dashboards using data extraction, data cleaning, and data visualization techniques.
• Provide value through insights, reporting, and data visualization, ensuring solutions are consistent and repeatable.
• Research and apply continuous improvement in data visualization by transforming raw data into actionable insights.
• Work with teams, management, and stakeholders to enhance usability and aesthetic appeal of data analytics solutions.
• Translate business needs into technical specifications and evaluate existing data visualization systems for improvements.
• Develop data visualizations for large data sets to facilitate intuitive presentation to decision makers.
• Document data flow, systems, and processes to improve design, implementation, and management.
• Develop tools and deliver training for reporting tools and self-serve analytics to non-analytical users.
• Exercise judgment to diagnose and solve problems within given rules, working independently on complex tasks.

Requirements

• 5+ years of proven experience with Power BI, including creating, managing, and publishing data sources and dashboards.
• Intermediate to advanced DAX skills such as creating measures, leveraging variables, and managing filters.
• Experience creating calculated fields and tables, and tuning data source design for performance.
• Proven experience with Power BI visualizations, including creating advanced charts, maximizing interactivity, and managing filters.
• Experience creating and leveraging parameters, bookmarks, and templates in Power BI.
• 5+ years of proven experience with SAS, including connecting to databases, data transformations, and automating processes.
• Foundational skills in technical design optimization, data visualization, storytelling, data mining, and problem solving.
• Intermediate skills in insights design, reporting, communication, collaboration, and analytical problem solving.
• Typically 4-6 years of relevant experience and a post-secondary degree or equivalent education and experience.

Nice to Have

• Experience with automating data processes and scheduling in SAS.
• Strong communication skills for training and collaboration.
• Experience with other data visualization or analytics tools.

Qualifications

• Post-secondary degree in a related field or an equivalent combination of education and experience.

Benefits & Perks

• Salary range of $56,000 to $104,000, depending on location, skills, and experience.
• Performance-based incentives, discretionary bonuses, and other perks.
• Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.
• Access to tools and resources for professional growth, including training and coaching.