Supervisor - Data Engineer

Chicago, IL, United States

McDonald's Corporation

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Company Description

McDonald’s growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway. 

McDonald’s Global Technology is here to power tomorrow’s feel-good moments.That’s why you’ll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we’re digitizing the Golden Arches. Combine that with our unparalleled global scale, and we’re reshaping all areas of the business, industry and every community that is home to a McDonald’s restaurant. We face complex tech challenges every day. But that’s where our diverse and talented teams come in. They’re made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.  

Check out the McDonald’s  Global Technology Technical Blog to learn how technology and our global team are directly enabling the Accelerating the Arches strategy. 

Job Description

We are seeking a Data Engineer to advance business intelligence reporting for payment technologies and restaurant health. The ideal candidate is someone that can work with multiple stakeholders while guiding the technology stack to support the business.  This role will report to the Sr. Data Analyst Manager from US Data Insights.

Responsibilities:

  • Drive strategy with data. Report on digital and instore payment KPIs. Point out opportunities and drive improvements.
  • Maintain and update KPI dashboards as needed for Senior Leadership Team.
  • Support resolution of complex payments related issues through data analysis.  
  • Define algorithms for statistical models to solve business problems.  Output to be used with comparative analysis, problem identification and KPI development.
  • Create data visualizations within PowerBI that are clear and compelling which communicate findings and insights to stakeholders at all levels of the business. 
  • Develop dashboards to populate a set of KPIs which provide a quick view of the health of the restaurant system and various activities. 
  • Verify data by reviewing reports, datasets, performance indicators and live assets to confirm and improve accuracy. 
  • Identify, analyze, and interpret trends or patterns in complex data sets. Make business recommendations from the findings.
  • Work with stakeholders to make recommendations on correct approaches to data, including how to collect data, where to store, what data is needed and how to display.   
  • Locate and define new process improvement opportunities. 

Key Proficiencies include:

  • Passionate, customer-obsessed looking for new solutions for the business, who truly enjoys working with a team to deliver great payment experiences.
  • Expertise product planning, including product definition, feature prioritization, trade-off processes, and roadmap creation.
  • Ability to influence cross-functional stakeholders in collectively aligning and executing against product vision.
  • Expert in accessing and presenting data to drive payments decisions.
  • Assist in finding product solutions that customers love, in a business that has complex operational and service delivery considerations.
  • Passion for McDonald’s customers and owner/operators and ability to ensure customer needs are met with a compelling experience that makes financial sense for owner/operators.
  • Good sense of curiosity with genuine desire to learn and think with agility – identifying patterns/trends and applying them in new and unfamiliar situations.
  • Confident working in a fast-moving environment, with a willingness to make quick decisions based on continuous prioritization and evolving customer needs.

    Benefits eligible: Yes

    Bonus eligible: Yes
    The expected salary range for this role is $98140 $125130 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

     

    • Bachelor's degree in Computer Science, Software Engineering, Information Technology or related field.
    • 1-3 years of experience working with data models, database design development, data mining and data pipeline development. 
    • Experience working with payment technologies is preferred.
    • Strong knowledge of and experience with reporting packages, databases, programming, SQL queries and statistical models. 
    • Experience with data analytics and visualization tools (PowerBI)
    • Scripting abilities to manage and move data.  PowerShell preferred. 
    • Knowledge of Microsoft Windows environment.
    • Excellent communication skills to convey complex technical details to non-technical stakeholders. 

    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.

    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.

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    Category: Engineering Jobs

    Tags: Business Intelligence Classification Computer Science Data analysis Data Analytics Data Mining Engineering KPIs Power BI Robotics SQL Statistics

    Perks/benefits: Competitive pay Flex hours Flex vacation Health care Medical leave Parental leave Salary bonus

    Region: North America
    Country: United States

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