Data Analytics

Business Engagement & Requirements Management

• Partner with business stakeholders to understand reporting, analytics, and data needs.

• Lead data discovery sessions, workshops, and data 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 activities.

Data Analysis & Analytics

• 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.

• Support users in interpreting data and applying insights to operational and strategic decisions.

Data Architecture & Engineering Partnership

• Collaborate with technical teams to design and implement scalable data solutions.

• Work within modern data architectures, including medallion (Bronze, Silver, Gold) data 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.

• Participate in the review and validation of transformation logic and business rules.

Solution Delivery & Governance

• 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.

• Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Business, or related field.

• 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 both 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.

Preferred

• 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

The expected salary range for this role is $95,538.00 - $119,423.00 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.

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 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., Ronald McDonald House (RMH) is seeking a highly collaborative and technically skilled Senior Data Analyst to join our Technology & Data team. This role serves as a critical link between business stakeholders and technical delivery teams, helping translate organizational needs into scalable data and analytics solutions.

The ideal candidate brings a unique combination of business acumen and technical expertise. They are equally comfortable facilitating requirements discussions with stakeholders, documenting business processes, analyzing data, and partnering with developers and data engineers on data pipelines, transformation logic, and enterprise data architecture.

This individual will help drive data-driven decision making across RMH by ensuring business requirements are clearly defined, governed, and delivered through modern data platforms and reporting solutions