Business Intelligence Manager

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June 23

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Mind Over Machines

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Mind Over Machines helps market leaders achieve exceptional results through tailored information systems making their businesses and the world, smarter, better, and richer.

51 - 200 employees

📋 Description

• We are looking for team members who can effectively identify strategies to help people and systems work smarter. • As the Manager, Business Intelligence, you will be responsible for developing the BI strategy while designing and building analytics-based tools which are technically sophisticated yet easy to understand and use. • If you are ready to take your career to the next level, join us in this critical role and position both yourself for long-term success. • You are a collaborator • You are obsessed with our clients and their needs • You are a constant learner who loves the craft of application design and development • You are a “we” person • You are hungry to help Mind Over Machines grow into the best version of itself • You help clients and Mind Over Machines understand and achieve business goals

🎯 Requirements

• 5+ years of experience in business intelligence and data analytics delivering business solutions that rely on effective availability, usability and understandability of data and analytical workflows • Experience with data modeling and integration (ETL) designs and approaches • 3+ years of experience managing a team of data analysts or engineers and leading the design, development and implementation of building BI applications • 3+ years of experience in building BI tools including tools like Tableau/Power BI, R/Python, SSIS/Informatica/Pentaho etc. • 3+ years’ experience delivering BI and data analytics solutions that involve statistical modeling or machine learning and the use of associated libraries and tooling, which emphasize effective design and usability for end users • Understanding of data warehouse concepts such as: patterns for time variance and generic versus explicit data structures; standards-based approaches for object names and data types; using logical data models to document and explain business objectives • Understanding of best practices and principles in SQL, query design, data validation/automation and analytic functions • Understanding of differences between various database architectures, such as Oracle, DB2, SQL Server and/or Access

🏖️ Benefits

• Health, dental, vision, life, and disability insurance • Paid time off • 401(k) with matching