It Business Intelligence Architect (Level 4)
By Intone Networks At , Hartford, Ct

Our client is seeking an IT Business Intelligence Architect / Service Designer (Level 4). You’ll report to the Service Design Manager and will drive discovery, user engagement, and experience ...

Business Intelligence Developer Jobs
By Smith Arnold Partners At Connecticut, United States
Sr. Management acknowledges hard work, many perks and rewards for exceeding job expectations. Promotes within
Processes data extracts using data retrieval and management tools
2+ years’ experience working with SSIS (ETL) and PowerBI
Knowledge of SQL and data warehousing concepts
Location: Remote - (Near - CT, NY, RI)
They have an atmosphere that truly is healthy mentally, socially, and promotes continuous advancement and growth.

Are you looking for an exciting opportunity to join a dynamic team and use your Business Intelligence skills to make an impact? We are looking for a Business Intelligence Analyst to join our team and help us uncover insights from our data to drive our business forward. If you have a passion for data and analytics, this is the perfect job for you!

Business Intelligence (BI) jobs involve gathering, analyzing, and interpreting data to help organizations make better decisions. BI job skills typically include strong analytical and problem-solving abilities, as well as the ability to communicate complex data in an understandable way. Qualifications for a BI job may include a degree in computer science, mathematics, economics, or a related field. Knowledge of data analysis tools such as SQL, Excel, and Tableau is also important. Experience in data analysis, data mining, and data visualization is also beneficial. Responsibilities of a BI job may include designing and developing data models, analyzing data to identify trends and patterns, creating reports and dashboards, and providing insights and recommendations to stakeholders. Additionally, BI professionals may be responsible for maintaining and updating data sources, ensuring data accuracy, and developing strategies to improve data quality.