Job Description

We are looking for a Technical Data Analyst with hands on experience that can partner with our engineering teams to analyze and interpret data from our Agile Development Lifecycle Tools and Software through analytics, big data analytics, and automation. This data mining and analysis will enable and support our effort to improve code quality and drive future efficiencies while reducing risk.

RESPONSIBILITIES:

• Identifies options to address the business problems within one's discipline. Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Recommends new processes and ways of working.
• Data Source Identification: Understands the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable source for data. Maintains awareness of data quality.
• Data Quality Management: Promotes data quality awareness. Profiles, analyzes, and assesses data quality. Tests and validates data quality requirements and executes operational Data Quality Management procedures under supervision of others. Conducts data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data under supervision of others. Learns company and regulatory policies on data. Learns data governance processes, practices, policies, and guidelines.
• Exploratory Data Analysis: Collects and tabulates data and evaluates results to determine accuracy, validity, and applicability. Supports the identification and application of statistical techniques based on requirements. Applies suitable techniques under direction from leadership. Assists in the planning, design, and implementation of exploratory data analysis research projects. Understands existing statistical models and identifies and recommends statistical models based on hypothesis. Uses advanced Knowledge in Data Discovery tools to write queries and analyzes data to identify patterns, trends, outliers, and correlations. Conducts statistical experiments (for example hypothesis tests, confidence intervals) and builds basic statistical models using packages like Statistical Analysis Systems (SAS).
• Data Visualization: Generates appropriate graphical representations of data and model outcomes. Understands customer requirements to design appropriate data representation for multiple data sets. Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through business and stakeholder understanding. Customizes communication style based on stakeholder under guidance and leverages rational arguments.
• Author and create design artifacts such as: Functional design specifications, source to data mapping and process and data flow diagrams.
• Work with on-shore and off-shore development teams

Qualifications

Must have received or be willing to receive the COVID-19 vaccination by date of hire to be considered. Proof of vaccination required.

• Bachelor’s degree in Data Science, Business, Engineering, Statistics, Economics, Analytics, Mathematics, Finance or related field
• 3-5 years in data analysis, data science, statistics, or related field
• Excellent working knowledge/recent applied experience with modern big data stores such as SQL, Hadoop, Python, Spark, Scala, R, Power BI, and data visualization platforms such as Tableau
• 2+ years of experience on large complex data sets

DESIRED SKILLS

• Working knowledge of applied machine learning techniques
• Skilled at defining and prioritizing product opportunities, building feedback loops, and advising on key metrics
• Experience working with a large managed services partner with on and off-shore resources
• Excellent communication and presentation skills, both verbal and written
• Experience working with data outputs from Agile Development Lifecycle (ADLC) and ADLC tools such as JIRA and Confluence
• Ability to work collaboratively with others and navigate complex decision making
• Ability to interact with customers at a variety of levels and across function

Additional Information

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. As the global leader in the food service industry, our legacy of innovation and hard work continues to drive us.

From drive thru updates to delivery to mobile order and pay, we are innovating quickly and growing. 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 outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.

While most of us are working remote during COVID-19, we're excited to get back to our state-of-the-art headquarters in the booming West Loop of downtown Chicago! It's set up to be a global hub that cultivates collaboration:

• Take a class at Hamburger University
• Sample future items in our Test Kitchen
• Utilize the latest technology to connect with your team around the globe

We are an equal opportunity employer committed to the diversity of our crew members, staff, operators, and suppliers. We promote an inclusive work environment that creates feel-good moments for everyone. We are interested in people who enhance our company culture: Does this role interest you? We encourage you to apply even if you don’t meet every single requirement!

McDonald’s is committed to providing qualified individuals with disabilities reasonable accommodations to perform the essential functions of their jobs. Additionally, if you (or another applicant of whom you are aware) require assistance accessing or reading this job posting or otherwise seek assistance in the application process, please contact recruiting.supportteam@us.mcd.com

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.