Data Engineer

Company Description

McDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald’s remains one of the world’s leading corporations after almost 70 years. Joining McDonald's means thinking big and preparing for a career that can have influence around the world.

At McDonald’s, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House Charities to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.

Job Description

We are looking for a Manager to join our growing US Strategic Insights & Prioritization, Marketing & Customer Analytics team.   This role will be critical in helping the US business maximize the value of our customer data in decision making and driving engagement and incrementally with our customers.

Our digital business has grown rapidly over the past several years, and we have aggressive plans to accelerate this growth to deliver on our customer’s expectations for years to come.  With the exciting launch of our Loyalty program in 2021, and the heightened focus the business has given to our digital channels like the McDonald’s mobile app and our CRM channels, this role will help develop the appropriate processes and governance rigor so that we can trust the customer data that we rely on daily to understand business performance and drive insight.

The key mission of our Marketing and Customer Analytics division is to deliver end-to-end, best in class, Marketing & Customer Analytics that generate data and insights for decision making to drive Business Performance and better Customer Experience.

Our guiding principle is to drive towards a rich, personalized experience for our customers across all McDonald’s digital channels (e.g., Mobile App, Web, Kiosk, Digital Menu Boards, CRM, etc.) and to maximize the return and effectiveness of our marketing investments wherever and whenever possible. This position is critical to enabling this work in the most effective and efficient way we can.

Responsibilities:

• Assist with the automation of workstreams by developing reliable, repeatable processes for data validation, data ingestion and data transfer
• Work in partnership with our Global Technology and Data & Analytics teams to present detailed examples to illustrate known or newly discovered data issues and drive remediation or long-term solutions to minimize future defects
• Work with our Global Technology teams to ensure the accuracy and reliability of our platforms (Databricks, mCDP, Braze, mParticle, Epsilon PeopleCloud, AWS Clean Room, Tableau, Adobe Analytics, New Relic)
• Work in partnership with our Global Technology teams to continue to push the boundaries of our platform capabilities (real time stream processing, change data feeds, enabling effective data sharing capabilities across the data lakes and platforms)
• Leverage your experience and understanding of data systems and tools to implement data quality monitoring and remediation processes across our data pipelines
• Develop processes and dashboards to proactively assist with the reconciliation of data between our key source and target systems.
• Communicate and collaborate across the broader teams at McDonald’s on any issues that may affect our internal workstreams, analysis or reporting; and manage deliverables/timelines to implement appropriate solutions
• Support the ongoing evolution of marketing technology toolset and measurement capabilities through the lens of potential business use cases
• Coach, cross-functionally, data/platform/methodology best practices and drive institutional knowledge across the teams.
• Mentor and support a diverse team of high-performing data analysts, data scientists and data engineers focused on diving deep into large-scale marketing data
• Act as liaison between US Marketing and Global Technology, representing and advocating for the needs of the US Market

Benefits eligible: Yes
Bonus eligible: Yes
Long term incentive eligible: Yes
The expected salary range for this role is $129,800 - $165,490 / per year 
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.

Qualifications

• Minimum of a bachelor’s degree in Computer Science, Business, Economics, Informatics, Marketing, Business Administration or a related field
• 8+ years of experience in the digital, technology, data science or data analytics space
• Understanding of test design and measurement methodologies with an ability to understand the core tenants of data engineering and management in support of that work
• Attention to detail with an endless passion to provide accuracy in our analytics and reporting workstreams
• Solid understanding of Agile methodologies and project management tools, including JIRA & Confluence
• Proven track record of collaborating with superiors, peers, subordinates and individual contributors across a wide range of functions to meet a common goal
• Ability to communicate technical information with business relevance to both technical and business audiences
• Solid understanding of version control / code repository systems including Git, GitHub, GitLab or Bitbucket.
• Highly proficient in SQL
• Significant experience with python, statistical models, regression models, sampling models, shell scripting a plus
• Significant experience with cloud technologies/platforms (AWS, Databricks, redshift, Google Cloud, BiqQuery)  a big plus
• MS Office (Excel, Word, Powerpoint, Teams) proficiency

Additional Information

Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment. 

Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.

Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald’s long-term incentive plan.

McDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis.

McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Nothing in this job posting or description should be construed as an offer or guarantee of employment.