RMHC- Data Analytics Manager

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

About RMHC

Ronald McDonald House Charities® (RMHC®), is a non-profit, 501(c)(3) corporation that cares for families when they have children who are ill or injured. Through a global network of over 255 Chapters in 62 countries and regions, RMHC provides essential services that remove barriers, strengthen families, and promote healing when children need healthcare. RMHC programs and services help families have what they need to ensure the best health outcomes for their children. For more information, visit RMHC.org.

Position Purpose

RMHC uses its evidence base to quantifying System impact, focus growth plans, continue to advance understanding of family needs and experiences and facilitate alignment of programming to unmet needs. This role supports critical RMHC strategic priorities by building data analytics and business intelligence to help demonstrate and substantiate the RMHC value proposition and influence the health and philanthropic sectors to advocate for and invest in increasing access to quality health care where the family is fully supported and involved. This role will also develop quantitative in-house resources and expertise to measure and track RMHC growth, annual impact, and progress towards System ambitions.

Principle Accountabilities

Reporting to the RMHC Director of Research & Insights, the RMHC Data Analytics Manager is responsible for managing program data analytics, predictive modeling and dashboards across our growing data ecosystem so that System insights can be prepared and leveraged for use in fundraising, strategic planning, efforts to quantify impact, and communications messaging. In addition, this role will support System data collection on annual outcomes, metrics and ad hoc measurement needs as they arise.

Data Analytics and Reporting

• Identify and interpret patterns and trends that help to demonstrate and substantiate RMHC value and impact, inform RMHC business decisions, and meet System demand for data and insights
• Conduct RADAR queries to inform RMHC strategic activities and metrics
• Support the development of ad hoc surveys and measurement as needed
• Develop predictive models for demand of RMHC services and needs for strategic programmatic growth
• Partner with functional leads to develop and provide periodic data analysis and reports; present findings to internal stakeholders
• Support the implementation of data governance policies and best practices and identify processes to improve statistical efficiencies and analysis, embed dashboards and build reports in partnership with the RMHC Technology team.
• Develop and implement recommendations to enable more efficient System data collection through the RMHC Annual Information & Outcomes Report (AIOR).
• Develop and maintain dashboards and reports to visualize RMHC System annual outcomes, metrics, and growth.
• Perform data cleansing and validation to ensure data accuracy and integrity

Data Insights and Application

• Oversee and manage RMHC strategic program growth and demand analytics, including implementation and updates to the RMHC demand tool and related data processes in close collaboration with the RMHC Director of Research & Insights and the RMHC Technology team
• Collaborate with the RMHC Development team on proposal development, grants, and other donor and fundraising requests
• Support System education and understanding on different types of data sources and data quality in close collaboration with the RMHC Learning & Development team

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

Skills, Experience and Competencies

• 7+ years of data analytics experience.
• Experience using advanced analytic techniques, including statistical modeling, forecasting and data mining; experience working in an AI environment a plus.
• Excellent data management and analytic skills, including knowledge of data warehousing concepts and visualization techniques.
• Experience analyzing, combining and visualizing large or disparate datasets from primary and secondary sources
• Proficiency in statistical and data visualization tools such as SQL, Python, Tableau, Power BI, etc. Deep understanding of Tableau functionalities preferred.
• High level of intellectual curiosity, strong analytic skills, and passion for data-driven decision-making and storytelling.
• Ability to manage and manipulate large datasets with a high level of accuracy and attention to detail.
• Demonstrated experience communicating and working across teams in a matrixed environment. Must be able to present, discuss and translate complex data or technical information in a way that supports the understanding and needs of different types of audiences.
• Bachelor’s degree in data science, statistics, mathematics, or related field required. Data analytics experience in public health or strategic consulting can serve as a proxy for education.