Manager, Data Engineer
Posted on Sep 7, 2024 by McDonald's Corporation
Chicago, IL
Admin & Secretarial
Immediate Start
Annual Salary
Full-Time
Job Description
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.
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.
Reference: 196676922
https://jobs.careeraddict.com/post/94966146
Manager, Data Engineer
Posted on Sep 7, 2024 by McDonald's Corporation
Chicago, IL
Admin & Secretarial
Immediate Start
Annual Salary
Full-Time
Job Description
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.
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.
Reference: 196676922
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