Data Analyst

Brookfield; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global investment management firm in London is looking for a Senior Data Analyst to create impactful dashboards for its real estate investment and finance teams. The role requires expertise in Power BI and Python, with a strong focus on data quality and collaboration across various business functions. This position is integral to enhancing the firm's data culture and supporting strategic decision-making.

Qualifications

• Strong experience in designing complex dashboards in Power BI.
• Proficient in SQL and data warehousing platforms.
• Advanced Python skills for data automation.

Responsibilities

• Design and maintain Power BI dashboards for multiple business functions.
• Develop ETL/ELT pipelines for data consolidation.
• Ensure data quality and accessibility across analytics layers.

Skills

Power BI

SQL

Python

ETL/ELT pipelines

Data architecture

Tools

Azure Data Factory

Azure Synapse

Snowflake

Job description

Location

London - One Canada Square, Level 26

Business - Real Estate

Brookfield Real Estate Group is one of Brookfield’s primary operating groups. The Real Estate Group is one of the world's largest investors in real estate, with a global portfolio that includes office, retail, multifamily, logistics, hospitality and alternative real estate assets on five continents. The Group owns and operates approximately $268 billion of assets representing the most iconic properties in the world’s most dynamic markets. We seek to generate value by leveraging our operating expertise and focusing on our core real estate capabilities of leasing, financing, development, design and construction as well as property and facilities management. For more information, visit https://www.brookfield.com/our-businesses/real-estate.

Brookfield Culture

Brookfield has a unique and dynamic culture. We seek team members who have a long-term focus and whose values align with our Attributes of a Brookfield Leader: Entrepreneurial, Collaborative and Disciplined. Brookfield is committed to the development of our people through challenging work assignments and exposure to diverse businesses.

Job Description

Data Analyst (Real Estate & Finance)

Brookfield Asset Management is a leading global alternative asset manager with over US$1 trillion of assets under management across real estate, infrastructure, renewable power and transition, private equity and credit.

Brookfield owns and operates long-life assets and businesses, many of which form the backbone of the global economy. Utilizing its global reach, access to large-scale capital and operational expertise, Brookfield offers a range of alternative investment products to investors around the world—including public and private pension plans, endowments and foundations, sovereign wealth funds, financial institutions, insurance companies and private wealth investors.

Brookfield Asset Management Ltd. (BAM) is a public company listed on the New York (NYSE: BAM) and Toronto (TSX: BAM) stock exchanges. Brookfield Corporation is a public company listed on the New York (NYSE: BN) and Toronto (TSX: BN) stock exchanges.

About The Role

We are seeking a Senior Data Analyst with deep expertise in Power BI, DAX, and data pipeline development to lead the creation of high-impact dashboards and analytics for our real estate investment and finance teams.

You will play a key role in translating complex data from investment performance, capital projects, operational activity, and financial KPIs into intuitive, actionable dashboards that inform decision-making across the business.

This is a hands-on position that blends technical skill with business insight and data storytelling. Experience with Python, web-based dashboards, or AI-driven analytics is a strong advantage, as we continue modernising our analytics infrastructure.

What You’ll Be Doing

• Design, build, and maintain advanced Power BI dashboards across business functions such as investment management, finance, asset management, and operations.
• Collaborate closely with teams including finance, investment, portfolio management, investor relations, and operations to understand reporting needs and deliver effective visual solutions.
• Develop robust, scalable ETL/ELT pipelines using tools such as Azure Data Factory, Python, and others to consolidate data from systems like property management platforms, financial databases, and Excel models.
• Design and manage data lakes and structured layers (raw, staged, curated) for optimal accessibility and performance.
• Model and structure data for efficient use in self-service BI tools and downstream applications.
• Ensure data quality, consistency, and availability across the warehouse and analytics layers.
• Leverage SQL and platforms like Azure Synapse to support real-time and periodic reporting.
• Apply data storytelling techniques to highlight trends, surface insights, and communicate key risks and performance drivers.
• Integrate dashboards with workflows using Power Apps, Power Automate, and API-based systems to enhance interactivity and intelligence.
• Maintain strong data governance, ensuring that reporting solutions are secure, well-structured, and scalable.
• Partner with the North American Technology team to align on global best practices and local implementation across Europe.
  
  

What We’re Looking For

Required – Technical Skills:

• Strong experience designing complex dashboards in Power BI using DAX, calculated columns, bookmarks, and drill-through capabilities.
• Proficient in SQL and experienced with data warehousing platforms (e.g., Azure Synapse, Snowflake, BigQuery).
• Advanced Python skills for data wrangling, automation, and integration with analytics workflows.
• Expertise in building and troubleshooting ETL/ELT pipelines using ADF, dbt, or equivalent solutions.
• Strong understanding of data architecture, including dimensional modeling, star schemas, and performance tuning.
• Hands-on experience working with data lakes, designing layered storage (raw, staged, curated) for analytical use.
  
  

Required – Interpersonal & Business Skills:

• Demonstrated ability to engage stakeholders, gather requirements, and iterate on dashboards to ensure adoption and usability.
• A proactive communicator who collaborates across teams and identifies opportunities to improve data processes and visibility.
• Business acumen and comfort navigating complex, corporate environments with evolving priorities.
• A self-starter who thrives in ambiguity and can independently prioritize tasks to drive data initiatives forward.
• A curious and innovative mindset with a passion for continuous learning and leveraging emerging technologies.
  
  

Preferred Skills:

• Familiarity with web-based dashboarding (e.g., React, Plotly, Dash, or similar frameworks).
• Experience using AI/ML tools for forecasting, anomaly detection, or natural language querying in BI contexts.
• In-depth knowledge of real estate investment and financial KPIs such as IRR, NOI, CapEx, tenancy schedules, and occupancy.
• Prior experience with Power Apps, Power Automate, or API integrations for enhanced workflow automation.
  
  

What Success Looks Like

• Your dashboards are essential tools for investment committees, executive planning, and operational reviews.
• You proactively improve dashboard performance, usability, and automation, reducing manual reporting.
• You raise the organisation’s data maturity, moving teams toward self-service analytics and strategic storytelling.
• You play a key role in shaping the firm's data culture by engaging stakeholders, improving data literacy, and expanding adoption of data tools.
  
  

Short Term Future Projects & Opportunities

• Support the systemisation of operating model across business units
• Lead the European Anaplan model build and design visual overlays for decision support.
• Deliver a pan-European investment and operational portfolio dashboard for real-time tracking
  
  

Brookfield is committed to maintaining a Positive Work Environment that is safe and respectful; our shared success depends on it. Accordingly, we do not tolerate workplace discrimination, violence or harassment.

We are proud to create a diverse environment and are proud to be an equal opportunity employer. We are grateful for your interest in this position, however, only candidates selected for pre-screening will be contacted.