Director, Business Intelligence Job Description

Business Intelligence Director directs and oversees high level strategic and tactical decisions for business intelligence tools and applications. Facilitates organizational data strategies for governance, design, implementation, integration and usage. Being a Business Intelligence Director is responsible for leading the design and maintenance of business intelligence applications. Identifies, researches, and resolves technical problems. Additionally, Business Intelligence Director ensures that the use of business intelligence applications enhances business decision making capabilities. Requires a bachelor’s degree. Typically reports to top management. The Business Intelligence Director typically manages through subordinate managers and professionals in larger groups of moderate complexity. Provides input to strategic decisions that affect the functional area of responsibility. May give input into developing the budget. Capable of resolving escalated issues arising from operations and requiring coordination with other departments. To be a Business Intelligence Director typically requires 3+ years of managerial experience.

Director, Business Intelligence Job Description Template

Our company is looking for a Director, Business Intelligence to join our team.

Responsibilities:

  • Work closely with C-level stakeholders, identifying and interpreting business needs and responding with BI solutions;
  • Lead end-to-end project delivery and teams aimed at identifying, analyzing, developing and implemented business intelligence metrics;
  • Work closely with C-level stakeholders, identifying and interpreting business needs and responding with BI solutions;
  • Gathering required data and performing/’/ data analysis to support business needs. Anticipate future and ongoing needs;
  • Ad hoc business reporting and analysis as needed;
  • Gain a deep understanding of the underlying department strategies and value drivers through working closely with MLS/SUM business leaders;
  • Assuring the coordination and management across multiple business groups to source accurate, efficient and relevant data;
  • Proactively identify business challenges and opportunities through data analysis, and work with business leaders to find strategic solutions;
  • Assist in the preparation of presentations to executives and department leads;
  • Ensure data integrity across all performance-based metrics and reporting;
  • Work cross-functionally with executives and high-level stakeholders to understand their problems and deliver data-driven solutions;
  • Ensure the accuracy and the integrity of the data by performing detailed data exploration and validation to identify trends, tendencies and anomalies;
  • Proven ability to audit outcomes and structure processes to ensure data accuracy;
  • Develop, measure, and report on Key Performance Indicators for major company initiatives and departments;
  • Work with Dignity Health Sports Park leadership to develop and implement an analytics strategy to enhance fan experience and efficiency.

Requirements:

  • High degree of comfort working with C-level stakeholders;
  • Bachelor of Science degree in Computer Science, Business Analytics or related field, or equivalent experience;
  • Adapts and thrives in a demanding, start-up, fast-paced environment;
  • Proven track record of compiling data in comprehensive reports, analyzing trends and making fact-based recommendations;
  • Bachelor’s degree;
  • Ability to work effectively in a fast paced, team environment while maintaining a strong attention to detail;
  • Solutions oriented with demonstrated decision making and problem-solving skills;
  • Expert in Excel, Word, PowerPoint;
  • Must be and remain compliant with all legal or company regulations for working in the industry;
  • Must pass any and all required background checks;
  • Strong knowledge of BI reporting platform like Tableau, Power BI etc;
  • Ability to work independently, multitask, and drive your own project;
  • Experience building statistical models and running experiments;
  • Experience performing analysis with large datasets;
  • Develop support documentation and training for system users and administrators.