Data Analytics

McDonald's Corporation • Chicago, IL

1d • $95,538 - $119,423

About The Position

Ronald McDonald House (RMH) is seeking a highly collaborative and technically skilled Senior Data Analyst for its Technology & Data team. The role connects business stakeholders with technical delivery teams and translates organizational needs into scalable data and analytics solutions. The successful candidate will facilitate requirements discussions, document business processes, analyze data, and partner with developers and data engineers on data pipelines, transformation logic, and enterprise data architecture. The position supports data-driven decision-making by ensuring requirements are clearly defined, governed, and delivered through modern data platforms and reporting solutions.

The role supports end-to-end delivery of analytics and data solutions, from discovery and requirements through implementation and validation. It also contributes to data quality, governance, consistency, and stewardship across the organization.

The expected annual salary range is $95,538–$119,423. The position is eligible for a performance-based bonus and benefits. Benefits include health and welfare coverage, including medical, prescription drug, mental health, dental, vision, and life insurance. McDonald’s also describes a broad range of benefits, including a sabbatical program, tuition assistance, and flexible work arrangements.

Requirements

• Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Business, or a related field.
• At least 5 years of experience in data analytics, business analysis, or related disciplines.
• Demonstrated experience gathering and documenting business and technical requirements.
• Strong SQL skills and experience querying large datasets.
• Experience working with modern data warehouses and enterprise reporting platforms.
• Understanding of data modeling concepts, business rules, and transformation logic.
• Experience partnering with business stakeholders and technical delivery teams.
• Strong analytical, problem-solving, and communication skills.
• Ability to translate technical concepts into business-friendly language and vice versa.

Nice To Haves

• Experience with AWS, Snowflake, Microsoft Azure, or other data services.
• Experience working with medallion architecture and lakehouse concepts.
• Experience with data pipelines and orchestration platforms.
• Experience with Power BI or similar business intelligence tools.
• Familiarity with Azure Data Factory, Synapse, Fabric, or related platforms.
• Experience working with third-party development partners or offshore delivery teams.
• Experience supporting nonprofit or mission-driven organizations.

Responsibilities

• Partner with business stakeholders to understand reporting, analytics, and data needs.
• Lead data discovery sessions, workshops, and requirements-gathering activities.
• Translate business requirements into data requirements.
• Document business processes, workflows, data definitions, and acceptance criteria.
• Serve as the primary liaison between business stakeholders and technical development teams.
• Facilitate prioritization discussions and support backlog management.
• Analyze complex datasets to identify trends, patterns, and actionable insights.
• Develop and support reports, dashboards, scorecards, and self-service analytics solutions.
• Perform data validation, reconciliation, and root cause analysis.
• Define and document key performance indicators (KPIs) and business metrics.
• Help users interpret data and apply insights to operational and strategic decisions.
• Collaborate with technical teams to design and implement scalable data solutions using modern data architectures, including medallion (Bronze, Silver, Gold) frameworks.
• Assist in defining source-to-target mappings and business transformation rules.
• Partner with developers and engineers to design and validate data pipelines.
• Understand and evaluate ETL/ELT processes, data lineage, and data quality controls.
• Review and validate transformation logic and business rules.
• Support end-to-end solution delivery from requirements through implementation.
• Participate in system testing, user acceptance testing, and production validation.
• Ensure delivered solutions meet business expectations and governance standards.
• Promote data quality, consistency, and stewardship across the organization.
• Contribute to data governance and documentation initiatives.

Benefits

• Health and welfare benefits, including medical, prescription drug, mental health, dental, vision, and life insurance coverage.
• Performance-based bonus eligibility.
• Sabbatical program.
• Tuition assistance.
• Flexible work arrangements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior