SSRS/BI Developer

2 weeks ago


New York, United States Universal Logistics Holdings Full time

SSRS/BI Developer – IT

This position will work closely with the business analyst, business users, and executives to gather, define, and translate business requirements into BI solutions. The applicant must have excellent collaboration skills with the ability to communicate concepts and solutions effectively and clearly. This position will also play a key technical role requiring skills in the design, development, and implementation of data warehousing and BI solutions.

LOCATION Warren, MI

RESPONSIBILITIES Translate business needs to technical specifications Design, build and deploy BI solutions Examine existing reports to locate and resolve issues Make essential technical and strategic changes to improve present business intelligence systems Collaborate with teams to integrate systems Develop and execute database queries and conduct analyses Create visually impactful, interactive business reports that provide insight into key data points Develop and update technical documentation Design, develop, automate, and support complex processes to extract, transform and load data into SQL Data Store and Data Warehouse environments using Visual Studio. Design and develop complete SSIS packages including the development of stored procedures, connections, tasks, control flows, data flows, parameters, event handlers, and variables. Analyze large amounts of information to discover trends and patterns Interview stakeholders and collaborate with business analysts to gather and document solution requirements, use cases, and test scenarios for business solutions.

QUALIFICATIONS Knowledge and experience with SSIS, and SSRS Knowledge and experience with data warehouse design, dimensional modeling, and data mining In-depth understanding of database management systems and ETL 1 to 2 years of experience with Qlik Sense Experience with SQL 2016, 2019 Knowledge and experience with PowerShell and Python a plus Building predictive models and machine-learning algorithms a plus


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