Business Intelligence; BI Manager

Falck is a global emergency medical services provider originating from Denmark that services 3 states in the US including:
California, Colorado, and Texas. Falck has been operating in the US since 2010 and is one of the largest private providers of emergency medical services in the country today. Our BLS and ALS services impact not only the lives of our patients, but their families and communities.

Click on the below link for a short video about what it means to join Falck!

• Full-Time Benefits (Medical, Dental, Vision, Life)
• 401(k) with company match
• Training and Career Development
• Paid Time-Off

Starting at $125,000 (annual)

The Business Intelligence Manager is responsible for defining, driving, and continuously evolving the organization’s Business Intelligence (BI) vision and strategy. This role involves leading a team of BI professionals to design, develop, and implement scalable and impactful BI solutions that support data-driven decision-making across the enterprise. The BI Lead will collaborate closely with various departments to understand business needs, translate them into technical requirements, and deliver high-quality analytical products.

Lastly, this position will also include being the product owner of a Data Engineering team based in Europe.

• BI Strategy & Vision:
  • Develop and execute the overall BI strategy, roadmap, and architecture in alignment with business objectives.
  • Identify opportunities to leverage data and BI tools to improve business processes and outcomes.
  • Stay abreast of industry trends and emerging technologies in BI, data analytics, and data warehousing.
• Leadership & Team Management:
  • Lead, mentor, and develop a team of BI developers, data analysts, and other data professionals.
  • Assign tasks, manage workloads, and ensure the timely and accurate delivery of BI projects.
  • Foster a culture of continuous learning, innovation, and best practices within the BI team.
• Solution Design & Development:
  • Oversee the design, development, and maintenance of robust and scalable data models, data warehouses, and data marts.
  • Lead the creation of interactive dashboards, reports, and visualizations using BI tools (e.g., Power BI, Tableau, Qlik Sense).
  • Ensure data accuracy, consistency, and integrity across all BI solutions.
  • Develop and optimize complex SQL queries, stored procedures, and ETL processes.
• Stakeholder Collaboration & Communication:
  • Partner with business stakeholders across various departments to gather and understand their reporting and analytical requirements.
  • Translate complex business questions into technical specifications for BI solutions.
  • Present insights, findings, and recommendations to senior management and other stakeholders in a clear and concise manner.
  • Act as a subject matter expert and advocate for data-driven decision-making.
• Data Governance & Quality:
  • Contribute to the establishment and enforcement of data governance policies and procedures.
  • Implement data quality checks and ensure the reliability of BI outputs.
  • Troubleshoot and resolve data-related issues and discrepancies.
• Project Management:
  • Manage the full lifecycle of BI projects, from conception to deployment and ongoing support.
  • Define project scope, timelines, and resource requirements.
  • Monitor project progress, identify risks, and implement mitigation strategies.

• Education:
  
  Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Business Administration, or a related quantitative field.
• Experience:
  • Minimum 3 years of experience in Business Intelligence.
  • Proven experience in a leadership or lead role within a BI team.
  • Demonstrated experience in designing, developing, and implementing end-to-end BI solutions.
• Technical
  
  Skills:
  • Proficiency in SQL for data querying, manipulation, and database management.
  • Extensive experience with at least one major BI tool (e.g., Microsoft Power BI, Tableau, Qlik Sense).
  • Strong understanding of data warehousing concepts (e.g., Kimball, Inmon), ETL processes, and data modeling techniques.
  • Experience with cloud-based data platforms (e.g., Azure Synapse, AWS Redshift, Google Big Query) is a plus.
  • Familiarity…