Overview
A Data Engineer, operating as part of the US Data Insights team, will turn data into information, information into insight, and insight into business decisions. Team members work with cross-functional teams to identify opportunities, develop analytical models, and create data-driven solutions to business problems. This candidate is expected to provide project level leadership to design and recommend the best approaches to solve complex business problems.
Responsibilities
- Lead projects and make recommendations from the perspective of a data expert.
- Guide stakeholders on recommended KPIs to serve business needs.
- Define algorithms for statistical models to solve business problems. Output to be used with comparative analysis, problem identification and KPI development.
- Analyze data sources and determine feasibility/reliability of usage. Define data movement processes to leverage data efficiently.
- 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.
- Leverage machine learning and AI in partnership with the McDonald’s AI Ops team to advance capabilities and detect issues earlier. Interpret data, analyze results using statistical techniques and provide automated reports for stakeholders to leverage.
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency, quality of data and insightful models.
- Work with management to prioritize business and information needs.
- Locate and define new process improvement opportunities.
- Bachelor's degree in Mathematics, Economics, Computer Science, Information Management or Statistics.
- Technical expertise regarding data models, database design development, data mining and segmentation techniques.
- Proven working experience as a Data Analyst or Business Data Analyst.
- Strong knowledge of and experience with reporting packages, databases, programming, SQL queries and statistical models.
- Attention to detail, identify/solving for problems and a commitment to delivering high-quality work are required.
- 2 or more years experience working with data visualization tools such as PowerBI or Tableau.
- PowerShell or similar scripting abilities to interface with multiple data sources in a Windows environment and save summarized information.
- Excellent critical thinking and problem-solving skills.
- The ability to work independently and as part of a team to complete deliverables.
- Excellent communication skills to convey complex technical details to non-technical stakeholders.
- Proficiency in programming languages such as Python or R for data analysis and modeling is desirable.
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 [email protected]. 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.
