BI & Analytics Manager

Job Title
BI & Analytics Manager
Job Description Summary
This is a full-time position and can be located anywhere in the United States with the ability to work from home, office, or hoteling space as required. Travel is required.
Job Description

Key Responsibilities

The Business Intelligence Solutions team (BI) is responsible for delivery of all data analytics and governance in support of both GOS service lines and GOS clients. The Business Intelligence Manager's responsibilities include data mapping, data assessments and analysis, data governance support, POC dashboard development, user acceptance testing, reporting support, opportunity assessments, tabular model support, workplace trend analysis, benchmarking analysis, and general product support for client BI platform.

Primary Duties & Responsibilities

Leadership & Team Management

• Provide leadership, guidance, and mentoring to BI analysts and account team resources
• Establish best practices, standards, and repeatable processes for BI development and delivery
• Provide training and enablement to account teams on BI platforms, tools, and analytics capabilities

Client & Stakeholder Partnership

• Serve as a senior analytics partner to clients and account teams, managing key relationships and expectations
• Advise clients on analytics strategies, including how to prioritize requests and align them with platform capabilities and long-term value
• Determine appropriate responses to client requests that may be out of scope, misaligned with best practices, or not in the client's best interest
• Provide clear verbal and written updates to management and stakeholders on progress, risks, and outcomes

BI Platform & Product Leadership

• Lead BI platform initiatives to enhance the delivery of insights across all clients
• Liaise with BI platform and solutions teams to ensure dashboard design, prototyping, and development meet business and product requirements
• Partner with development teams to expand analytics offerings through dashboard proofs of concept, tabular model measure development, and product feature enhancements
• Support the evolution of a governed, scalable BI ecosystem, including certified reporting and self-service analytics

Analytics Strategy & Roadmap Ownership

• Develop and maintain analytics roadmaps with clients and account teams, including scope, schedule, and investment planning
• Balance immediate client reporting needs with long-term platform strategy and scalability
• Proactively analyzing client portfolios to identify risks, trends, and opportunities for deeper analytical insight

Data & Technical Oversight

• Lead data assessment and data mapping exercises to support system integration and analytics initiatives
• Manage intake and backlog processes, data dictionaries, report inventories, and development workflows for both client-specific and platform-level dashboards
• Partner with client technology teams to understand technical requirements and ensure alignment with enterprise data platforms (including Databricks)
• Drive continuous improvement in data automation, standardization, and quality

Advanced Analytics & Optimization

• Utilize advanced analytics tools to transform data, automate workflows, and develop analytical solutions
• Provide oversight on Power BI model design, performance optimization, and metric standardization
• Ensure technical and process documentation is maintained across analytics initiatives
• Leverage emerging AI tools like Databricks to bring cutting edge analytical delivery to the BI platform and clients

Knowledge, Skills & Experience

Education

• Bachelor's degree in Business, Engineering, Technology, or a related field

Required Experience

• Experience leading or managing analytics, BI, or data teams
• Strong client and stakeholder management experience
• Hands-on experience with business intelligence and data visualization platforms
• Experience with data mapping, data modeling, and analytics solution design

Preferred / Nice-to-Have Experience

• Strong experience with Power BI (including data modeling and semantic layer design)
• Proficiency with SQL for data analysis and validation
• Experience with ETL / data preparation tools such as Alteryx
• Experience working with Databricks or modern data platforms
• Experience contributing to a BI product team or analytics platform initiative
• Exposure to commercial real estate or portfolio-level data

Additional Requirements & Competencies

• High level of critical thinking and sound judgment exercised daily
• Strong analytical curiosity and problem-solving mindset
• Excellent verbal and written communication skills
• Ability to articulate complex technical and analytical concepts to non-technical audiences
• Ability to select the most effective communication approach based on audience and context
• Strong relationship management skills across clients, account teams, and technology partners
• Ability to operate confidently in ambiguous, fast-paced, and client-facing environments

Cushman & Wakefield uses artificial intelligence (AI) tools to assist in screening and assessing applications. All hiring decisions are reviewed and confirmed by our recruitment team.

This posting is for a new position.

The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate's experience and qualifications.

The company will not pay less than minimum wage for this role.

The compensation for the position is: $ 102,000.00 - $120,000.00