Power BI Developer (Remote)

We are looking for a Business Intelligence (BI) Developer to create and manage BI and analytics solutions that turn data into knowledge. In this role, you should have a background in data and business analysis. You should be analytical and an excellent communicator. If you also have a business acumen and problem-solving aptitude, we’d like to meet you.

Essential Functions:

• Translate business needs to technical specifications
• Design, build and deploy BI solutions (e.g. reporting tools)
• Maintain and support data analytics platforms (e.g. MicroStrategy)
• Create tools to store data (e.g. OLAP cubes)
• Conduct unit testing and troubleshooting
• Evaluate and improve existing BI systems
• Collaborate with teams to integrate systems
• Develop and execute database queries and conduct analyses
• Create visualizations and reports for requested projects
• Develop and update technical documentation

Job Requirements:

• Experience delivering business intelligence solutions
• Experience with OLTP and OLAP database models
• Good analytical and problem-solving skills
• Fluent in relational database concepts and flat file processing concepts
• Must be knowledgeable in software development lifecycles/methodologies i.e. agile as strong presentation and collaboration skills and can communicate all aspects of the job requirements including the creation of formal documentation
• Database Technology: SQL Server, Netezza, Hadoop, Cloudera
• Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS)
• ETL Technology: SSIS, DataStage, Talend, CRON scripting, Perl
• BI Technology: SSRS, SSAS, Tableau, MicroStrategy
• Proficient Intime series analysis, clustering, decision trees and neural networks
• Strong problem solving, time management and organizational skills

Required Experience:

• 3-5 years of Professional experience as a BI Developer or data scientist

Required Education:

• Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, or closely related field with Data Science specialization or additional related equivalent work experience.