BI & Analytics Manager

Accountabilities:

• • Lead, mentor, and support BI analysts and account team resources while establishing repeatable standards, best practices, and delivery processes for analytics initiatives.
  • Act as a senior analytics partner to clients and stakeholders, managing relationships, expectations, priorities, and communication while ensuring requests align with platform capabilities and long-term business value.
  • Lead BI platform initiatives, dashboard prototypes, proofs of concept, semantic model enhancements, and product improvements in partnership with development and technology teams.
  • Develop and maintain client analytics roadmaps covering scope, timelines, priorities, and investment requirements, balancing immediate reporting needs with scalable long-term solutions.
  • Oversee data assessments, data mapping, data modeling, data dictionaries, report inventories, intake processes, backlogs, and development workflows across client-specific and platform-level initiatives.
  • Partner with client technology teams to define technical requirements and align analytics solutions with enterprise data platforms, including modern cloud-based environments such as Databricks.
  • Provide oversight of Power BI model design, performance optimization, metric standardization, reporting quality, and the development of governed self-service analytics capabilities.
  • Analyze client portfolios to identify trends, risks, opportunities, and areas where deeper analytical insight can improve business outcomes.
  • Drive continuous improvement in data automation, standardization, quality, and workflow efficiency while maintaining clear technical and process documentation.
  • Evaluate and apply emerging analytics and AI capabilities to enhance the delivery of insights, automate workflows, and strengthen the overall BI platform.
  • Serve as an escalation point for complex analytics, data, and client delivery challenges, applying sound judgment and communicating recommendations clearly to both technical and non-technical audiences.

  Requirements:

  • Bachelor's degree in Business, Engineering, Technology, or a related discipline, or equivalent relevant experience.
  • Proven experience leading or managing analytics, business intelligence, or data teams, with a track record of mentoring and developing team members.
  • Strong client-facing and stakeholder management experience, including the ability to build trusted relationships across clients, account teams, technology partners, and senior stakeholders.
  • Hands-on experience with business intelligence, data visualization, data mapping, data modeling, and analytics solution design.
  • Strong proficiency with Power BI, including data modeling and semantic layer design, with the ability to oversee dashboard development and performance optimization.
  • Working knowledge of SQL for data analysis, validation, and troubleshooting, along with experience using ETL or data preparation tools such as Alteryx.
  • Experience with Databricks or other modern data platforms, with an interest in applying emerging AI and analytics technologies to business intelligence.
  • Experience contributing to BI products, analytics platforms, governed reporting environments, or enterprise-scale data initiatives is highly desirable.
  • Exposure to commercial real estate, portfolio-level data, or similar complex business datasets is a plus.
  • Excellent analytical, critical-thinking, problem-solving, written, and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Strong organizational and relationship-management skills, with the ability to prioritize competing demands and operate effectively in ambiguous, fast-paced, and client-facing environments.

  Benefits:

  • Competitive annual salary: $110,500–$130,000, with final compensation determined by factors including location, experience, qualifications, and other eligibility considerations.
  • Fully remote flexibility: Work from anywhere in the United States, with the ability to use office or hoteling space when required.
  • Health coverage: Medical, dental, and vision insurance options.
  • Financial benefits: Retirement savings plans, including applicable employer-supported programs.
  • Tax-advantaged benefits: Flexible spending accounts and health savings accounts, where eligible.
  • Protection and security: Life insurance and disability insurance programs.
  • Time off: Paid and unpaid leave programs, subject to eligibility and applicable policies.
  • Career development: Opportunities to lead strategic analytics initiatives, collaborate across functions, and work with modern BI, data, and AI technologies.
  • Meaningful scope: A leadership role with significant influence over analytics strategy, client outcomes, platform evolution, and data-driven decision-making.
  • Travel: Travel is required as part of the client-facing nature of the position.