Manager of Business Intelligence Analysis Corporate Accounting in san-ramon-ca

Manager of Business Intelligence Analysis Job Description

Business intelligence analysis managers apply at least five years of experience in data reporting or analysis and a strong aptitude for problem solving based on trends in the data to perform needs assessments and make recommendations to the company. Expertise in Excel and SQL, strong organizational skills, and the ability to work independently are crucial to the role. Companies look for candidates who have supervisory experience and strong collaboration and communication skills; a bachelor’s degree in finance, accounting or business is required, but many businesses prefer those with a master’s in business administration.

Typical manager of business intelligence analysis corporate accounting duties:

Creating and implementing business intelligence solutions that meet operational requirements

Enforcing business intelligence policies by ensuring data integrity, efficient coding, data validation, product testing, clear documentation, and maintenance practices

Managing and mentoring the business intelligence team to deliver high-quality and timely reports

Collaborating with management across the organization to understand business drivers, gaps, and issues and create relevant data strategies and business intelligence capabilities

Identifying and prioritizing gaps between the firm’s current state and industry best practices

Documenting and sharing insights with business intelligence team and management for building skills on technologies and processes

Monitoring data to ensure consistency of quality

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Our starting salary projections come from a rigorous, multistep process so that our numbers accurately reflect the marketplace. They are based on actual compensation for professionals Robert Half has matched with employers across the country and third-party job posting data from Textkernel that we use to independently validate the salary levels.

Starting compensation—pay for someone new to a role—can vary significantly based on a candidate’s skills, experience and certifications, as well as other factors including industry, company size and revenue, and demand for the role. To reflect this variability, we report our salary data in three levels: low, mid and high.