Manager, Business Technical Analysis

About McDonalds:

One of the worlds largest employers with locations in more than 100 countries, McDonalds Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonalds global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

One of the worlds largest employers with locations in more than 100 countries, McDonalds Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonalds global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Position Summary:

Manager, Business Technical Analysis

Bridges restaurant operations and engineering across the EDAA Restaurant domain, which turns operational, brand standards, and guest experience data into insights for restaurant managers, owner-operators, operations consultants, and markets. This role owns how business questions become precise, testable requirements: which measures matter, how each KPI is defined and calculated, where the data comes from, and how the product proves it is right

• Translate business needs into epics, user stories, and acceptance criteria that engineering can build and QA can test.
• Partner with operations and restaurant technology teams to confirm and document KPI definitions, calculation logic, grain, and thresholds, and resolve cases where different sources or reports calculate the same KPI differently.
• Profile source data in BigQuery with SQL to validate assumptions and size data quality issues before build.
• Produce source-to-target mappings, data dictionaries, and catalog entries, and author and maintain Data Interface Contracts (DICs) with source and consumer teams.
• Partner with the Global Data Governance team on data ownership, business definitions, quality standards, lineage, and data asset certification.
• Work with markets to onboard new markets, covering requirements, local source mapping, data validation, and rollout.
• Define data quality business rules with engineering, and lead user acceptance testing with business stakeholders alongside QA.
• Prototype views in Tableau, Figma, or other visualization tools to align stakeholders before build.
• Partner with the product owner on backlog prioritization and PI / sprint planning, and drive adoption through training material and release notes.
• Use AI assistants to speed up requirements drafting, user stories, SQL, data profiling, and documentation, and validate all AI output against data and stakeholders.
• Lead and coach business technical analysts, and set standards for requirement and KPI documentation.

• 7–11 years of professional experience in business, systems, or technical analysis on data, analytics, or platform products, with 2+ years leading analysts or workstreams.
• Strong SQL for data profiling and validation in BigQuery or a similar cloud warehouse.
• Proven experience defining KPIs and metric logic, and writing source-to-target mappings.
• Working knowledge of data modeling concepts (dimensional models, grain) and data pipelines.
• Ability to read API and event payloads, including JSON (JSON Schema / CloudEvents) and Avro, and technical data specifications.
• Familiarity with data governance, data management, and data quality frameworks, including data asset certification.
• Experience writing data interface contracts or data agreements with source and consumer teams.
• Experience onboarding new markets, regions, or business units onto shared data products.
• Experience writing user stories and acceptance criteria in Agile / SAFe teams using Jira and Confluence.
• Hands-on experience with Tableau and other visualization tools.
• Excellent facilitation, stakeholder management, and written communication skills.
• Hands-on use of AI assistants for analysis and documentation, with responsible handling of confidential data.
• Background in Computer Science, Engineering, or a related field with a bachelors degree or higher, or equivalent experience.
• Preferred: quick service restaurant or retail operations domain; IoT and edge telemetry concepts and near-real-time analytics; operational KPIs such as speed of service, drive-thru times, order accuracy, and shift effectiveness; and Python for analysis.

McDonalds is the worlds leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonalds restaurants worldwide are owned and operated by independent local business owners. At McDonalds, we lead through our values centered on inclusivity, service, integrity, community, and family. Here is your chance to get in on something special as we grow our corporate team in India and allow you to grow your career.

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