Fusion HCR hiring! Direct Hire – Sr Business Intelligence Engineer – Candidates must be based in Dayton Ohio or Boston MA areas. What You Will Be Doing Responsible for the design, implementation, and maintenance of all SQL Analysis Services tabular cube within the Firm. Serve as an advisor to PowerBI report developers, providing guidance on dimensional modeling and tabular design best practices. About The Role Responsible to ensure alignment between the data analytics platforms (Data warehouse) environment and business requirements Extends existing and creates new MS SQL Analysis Services Tabular Cubes using new members, measures using DAX scripting languages , tables, relationships, and roles Extends existing and creates new PowerBI models using new members, measures, tables, relationships, and roles, in direct query and import models Creates and delivers end-user training and documentation and provides second-line support to power users who develop reports on behalf of their departmental colleagues Performs application deployments, upgrades, and patch planning Participate and contribute to daily scrum meetings Maintains awareness of technology developments and makes recommendations to the Manager, Data Analytics Services Participates in software licensing and support agreement discussions Assists with resolution of escalated incidents and participates in problem management activities. Assumes ownership of level 3 support and troubleshooting of assigned data solutions Assists in evaluating the business relevance and requirements of projects under consideration Maintain existing data solutions, design and build from the ground up new data solutions including data warehousing dimensional models Mentor junior developers Assumes additional responsibilities as assigned Contributes to the firm's Service Excellence initiative to consistently improve its image internally and externally. Displays professionalism, quality service and a "can do" attitude to internal members/departments of the firm as well as external clients and vendors via electronic and print correspondence, over the telephone and in-person. Required Skills Excellent analytical skills, including the ability to perform advanced research that involves interpretation and analysis of data from a variety of sources Translation of business questions and requirements into reports, views, and SQL queries Expert knowledge of data warehouse architecture, data design patterns and data transformation best practices in environments of medium to large volume of data Advanced experience in tunning T-SQL query performance, identifying the need and creation of SQL indexes Advanced hands-on experience with T-SQL, data warehouse concepts including dimensional modeling Strong problem-solving and tenacity in creating solutions for complex and performant data challenges while handling hundreds of millions of records Intermediate to advance knowledge of DAX Knowledge in at least one scripting language for predictive analytics and data visualization. (R or Python) is a plus Hands on expertise with implementation of a MS Analyses Services Cube using the Tabular model and PowerBI data models is required Working knowledge in developing Azure Data Factory is a plus Good knowledge of server hardware, server storage and other infrastructure, client/server applications, and server utilities Expert knowledge of SQL Server 2016/2019/2022 and strong T-SQL skills is required Strong discipline in following SQL coding styles which improves code readability and supportability Experience supporting a 24x7 production environment Ability to work effectively with both users and technical staff in team-oriented environments Excellent oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures Working knowledge of Information Technology Infrastructure Library (ITIL), Microsoft Operations Framework, ISO 9000 or similar process discipline is preferred Required Experience 8-10 years' experience in data analysis and data warehousing, with significant specialization in one or more areas of the above-mentioned areas of technology Experience with legal financial data models is a plus 5 years of DAX scripting experience Education Bachelor's degree in computer science or related field; or equivalent work experience
