Senior Data Analyst

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Job Title: Senior Data Analyst - Global Programs

Location: London, Hybrid 3-days in office
Employment Type: Full-time
Department: Global Workplace Solutions (GWS) - Global Programs

About the Role:
We are seeking a Senior Data Analyst to join our dynamic Global Programs team. In this role, you will work alongside operational and strategic stakeholders to support a large, global account through insightful data analytics, robust reporting, and data-driven solutions. You'll be instrumental in translating complex datasets into actionable insights that drive decision-making and innovation across global workplace operations.

Key Responsibilities:

• Deliver and support enterprise, regional, and local data and reporting needs through intuitive dashboards and reports.

• Provide advanced data analysis and storytelling to uncover actionable insights from operational datasets.

• Collaborate with cross-functional teams (Digital & Technology, Finance, Operations) to enhance data infrastructure and develop predictive/diagnostic analytics.

• Design and build automated data pipelines to collect, transform, and visualize data across multiple business units.

• Ensure data accuracy, compliance, and best practices in data governance.

Required Qualifications:

• Bachelor's degree (BA/BS) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

• 5+ years of experience in data analysis, reporting, or a related field.

• Proficiency in data visualization tools such as Power BI or Tableau.

• Strong experience with SQL and Python for data wrangling, automation, and analytics.

• Familiarity with cloud platforms (Azure preferred), enterprise data tools (e.g., Alteryx, Snowflake), and data pipelines.

• Exceptional problem-solving skills and attention to detail.

Preferred Qualifications:

• Experience in workplace solutions, facilities management, or a related domain.

• Ability to manage large datasets and create efficient data models.

• Understanding of predictive modeling and machine learning concepts.

Why Join Us?

• Work on a global team making a real impact in workplace and real estate solutions.

• Opportunity to build and scale enterprise-wide data solutions.

• Supportive environment that values innovation, integrity, and collaboration.

• Competitive salary and benefits.