BI Analyst / Data Governance

Cushman & WakefieldWashington, DC
$91,708 - $107,892Onsite

About The Position

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 Senior Business Intelligence Analyst’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. This role requires working on-site 5 days a week.

Requirements

  • Bachelor’s degree in Business, Engineering, Technology, or a related field
  • Experience working on an analytics, BI, or data team
  • 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
  • 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

Nice To Haves

  • 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

Responsibilities

  • 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
  • Support 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
  • Develop and maintain analytics roadmap with client and account team, 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
  • Assist with 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
  • 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

Benefits

  • health, vision, and dental insurance
  • flexible spending accounts
  • health savings accounts
  • retirement savings plans
  • life, and disability insurance programs
  • paid and unpaid time away from work
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service