Senior Manager, Performance Data Analytics
@ McDonald's Corporation

London, England, United Kingdom
$150,000
On Site
Full-time
Posted 30 days ago

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Senior Manager, Performance Data Analytics

Company Overview: McDonald’s is the leading global omni-channel restaurant brand accelerating growth through technology innovation and transformative digital strategies like Delivery, Digital, and Drive Thru.

Role Overview: Join the Technology Performance team within Global Technology Strategy, Planning and Performance to deliver data-driven insights, build dashboards and data pipelines, and drive strategic decisions for restaurant technology performance.

Key Responsibilities:

  • Develop globally aligned data strategies and KPIs.
  • Interrogate data for insights that unlock business value.
  • Build and communicate data products (PowerBI/Tableau, Python/SQL pipelines).
  • Collaborate with market and global partners.
  • Support team growth through mentoring and prioritization assistance.

Success Measures: Impactful insights, improved technology performance, and effective communication with stakeholders.

About You: You are experienced in data analytics, dashboard/report building, and possess strong communication skills. Familiarity with PowerBI, Tableau, and preferably Python is expected, along with a proven record of driving change and handling large datasets.

Key Skills/Competency: Senior Manager, Performance Data Analytics, data strategy, KPI, analytics, PowerBI, Tableau, Python, SQL, agile, data visualization

How to Get Hired at McDonald's Corporation

🎯 Tips for Getting Hired

  • Customize your resume: Highlight analytics and leadership experience.
  • Showcase technical skills: Emphasize PowerBI, Tableau, Python, SQL.
  • Research McDonald’s: Understand their global tech strategy and culture.
  • Practice interview scenarios: Prepare for data-driven strategic questions.

📝 Interview Preparation Advice

Technical Preparation

Review PowerBI and Tableau tutorials.
Practice Python and SQL exercises.
Study data visualization techniques.
Analyze large dataset case studies.

Behavioral Questions

Explain past team leadership challenges.
Discuss handling data-driven disagreements.
Describe decision-making under pressure.
Share experience in change management.

Frequently Asked Questions