Power BI Product Designer

📋 Description

• As a Business Intelligence (BI) Developer at Ascensus, you will be working in a high-energy team

• Use the best engineering practices in the industry today (e.g., unit testing, source control, continuous integration, automation, design patterns)

• Drive business decisions by providing quantitative and qualitative data analysis and reporting of patterns, insights and trends to decision makers

• Collect, aggregate and analyze data from multiple internal and external sources

• Produce actionable reports that show key performance indicators

• Provide analytics and reporting solutions using metrics across multiple business areas

• Apply standards and best practices for implementing Ascensus BI tools in support of the EIM vision and reference architecture

• Conduct data analysis in support of analytic solutions

• Create ad hoc reporting solutions and dashboards

• Ensure compliance with deliverable reporting requirements by performing data quality audits and analysis

• Implement package deployments and troubleshoot package issues

• Create and maintain BI documentation for every System Development Life Cycle (SDLC) phase

• Participate in creating long term BI application support model

🎯 Requirements

• Bachelor’s degree or equivalent work experience

• Excellent analytical skills

• Excellent oral and written communication skills including active listening

• DAX, Power BI dashboards, SSRS reporting

• Designing/Building tabular models using latest version of SSAS

• Modeling experience

• Administration experience using Power BI

• SQL Server latest version

• 6+ years of relevant experience in business intelligence role, including data warehousing and business intelligence tools, techniques and technology (preferred)

• 3-5 years in Power BI Development (preferred)

• Microsoft Certified Business Intelligence in the above required skills (preferred)

• Experience with Microsoft SSIS (preferred)

• Experience with relational databases: Sybase ASE, Oracle, MySQL and others (preferred)

• Experience with analytic platforms (data mining, predictive modeling) (preferred)