Business Intelligence & Reporting Manager

The Denzel Group has been selected to find a Business Intelligence & Reporting Manager to lead a data analysis team & drive value across the organization.

Description:

• Lead & develop a team by hiring, managing & mentoring the BI & Data Analytics Team
• Transform data into actionable insights, enabling better business decisions
• Provide guidance on data analysis, visualization, and reporting to drive actionable insights.
• Collaborate with IT teams to manage data architecture, infrastructure, and governance.
• Serve as the primary liaison between the business intelligence team and other departments
• Provide reporting and data analysis services to a highly decentralized organization, ensuring that all business units have access to accurate, actionable insights.
• Contributeto the development of BI strategy roadmap, identify opportunities for innovation, recommend data-driven solutions, and execute.
• Collaborate on the development of KPIs and performance metrics to measure business success and the impact of BI initiatives.
• Oversee the design, development, implementation, and maintenance of Data Analysis tools and platforms.
• Implement advanced analytics methodologies such as predictive modeling, machine learning, and data mining to drive business performance.
• Partner with IT to ensure data integrity, availability, and security across systems.
• Ensure compliance with data privacy regulations and internal governance standards.
• Establish best practices for data management, ensuring high-quality data collection, storage, and usage practices.
• Prepare quarterly system reviews for senior management.
• Complete required safety and compliance training programs as assigned.

Must Have:

• 5+ years of experience in business intelligence, data analytics, data science or related fields.
• 1 or more year of experience leading cross-functional data or BI teams.
• Proficiency in BI tools (Power BI &/or Tableau)
• Understanding of data storage strategies (Data Lakes, Data Warehouse, structured and unstructured data)
• Strong knowledge of SQL, ETL processes, and data modeling.

Nice to Have:

• Azure data warehousing solutions (e.g. Data Factory, Databricks, Synapse, Fabric) or other cloud data warehousing.
• Foundational experience in R, Python or similar programming language (highly favored)
• Familiarity with machine learning, AI, and predictive analytics.
• Prior experience building and deploying business intelligence solutions and driving business impact through data insights and analytics.

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