{"id":4053453,"url":"https://alion.io/job/mcdonalds-data-analytics","title":"Data Analytics","company":{"id":678125,"name":"McDonald's","domain":"mcdonalds.com","url":"https://alion.io/company/mcdonalds-6","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":93,"open_postings":9,"ghost_share":0,"stale_share":0.222,"repost_share":0.111,"time_to_fill_p50_days":23,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":95538,"max":119423,"currency":"USD","period":"year","gross":null,"usd_annual":119423},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-11T03:12:20Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T03:12:20Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Company Description:\nMcDonald’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.\nAt 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.\nDepartment Overview\nRonald 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.\nThe 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.\nThis 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\nDuties\nBusiness Engagement & Requirements Management\nPartner with business stakeholders to understand reporting, analytics, and data needs.\nLead data discovery sessions, workshops, and data requirements gathering activities.\nTranslate business requirements into data requirements.\nDocument business processes, workflows, data definitions, and acceptance criteria.\nServe as the primary liaison between business stakeholders and technical development teams.\nFacilitate prioritization discussions and support backlog management activities.\nData Analysis & Analytics\nAnalyze complex datasets to identify trends, patterns, and actionable insights.\nDevelop and support reports, dashboards, scorecards, and self-service analytics solutions.\nPerform data validation, reconciliation, and root cause analysis.\nDefine and document key performance indicators (KPIs) and business metrics.\nSupport users in interpreting data and applying insights to operational and strategic decisions.\nData Architecture & Engineering Partnership\nCollaborate with technical teams to design and implement scalable data solutions.\nWork within modern data architectures, including medallion (Bronze, Silver, Gold) data frameworks.\nAssist in defining source-to-target mappings and business transformation rules.\nPartner with developers and engineers to design and validate data pipelines.\nUnderstand and evaluate ETL/ELT processes, data lineage, and data quality controls.\nParticipate in the review and validation of transformation logic and business rules.\nSolution Delivery & Governance\nSupport end-to-end solution delivery from requirements through implementation.\nParticipate in system testing, user acceptance testing, and production validation.\nEnsure delivered solutions meet business expectations and governance standards.\nPromote data quality, consistency, and stewardship across the organization.\nContribute to data governance and documentation initiatives.\nQualifications\nRequired\nBachelor's degree in Data Analytics, Information Systems, Computer Science, Business, or related field.\n5+ years of experience in data analytics, business analysis, or related disciplines.\nDemonstrated experience gathering and documenting business and technical requirements.\nStrong SQL skills and experience querying large datasets.\nExperience working with modern data warehouses and enterprise reporting platforms.\nUnderstanding of data modeling concepts, business rules, and transformation logic.\nExperience partnering with both business stakeholders and technical delivery teams.\nStrong analytical, problem-solving, and communication skills.\nAbility to translate technical concepts into business-friendly language and vice versa.\nPreferred\nExperience with AWS, Snowflake Microsoft Azure or other data services.\nExperience working with medallion architecture and lakehouse concepts.\nExperience with data pipelines and orchestration platforms.\nExperience with Power BI or similar business intelligence tools.\nFamiliarity with Azure Data Factory, Synapse, Fabric, or related platforms.\nExperience working with third-party development partners or offshore delivery teams.\nExperience supporting nonprofit or mission-driven organizations\nCompensation\nBonus Eligible: Yes\nLong - Term Incentive Eligible: No\nBenefits Eligible: Yes\nSalary Range\nThe 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.\nAdditional Information:\nBenefits eligible: This position offers health and welfare benefits, including but not limited to comprehensive health insurance, which includes medical, prescription drug, mental health, dental and vision coverage, as well as, life insurance.\nBonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.\nMcDonald’s is an equal opportunity employer. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact . Reasonable accommodations will be determined on a case-by-case basis.\nMcDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.\nNothing in this job posting or description should be construed as an offer or guarantee of employment.","description_format":"text","description_chars":7448,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Health insurance","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Catering & Food Services"],"lifecycle":[{"event":"open","at":"2026-11-11T03:12:20Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 78 · green card filings: 12","filings_12m":78,"filings_prev_12m":53,"green_card_filings_12m":12,"median_offered_wage_usd":162333,"route":null,"cap_exempt":false,"checked_at":"2026-11-10T11:34:35+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":24}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":23,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-11T04:16:21Z"},"pay":{"stated_usd_annual":119423,"is_top_pay":false},"html_url":"https://alion.io/job/mcdonalds-data-analytics","json_url":"https://alion.io/job/mcdonalds-data-analytics.json","meta":{"generated_at":"2026-11-11T04:16:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4465,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":678125},"rest":"https://alion.io/mcp/rest/get_company?id=678125"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmcdonalds-data-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmcdonalds-data-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmcdonalds-data-analytics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mcdonalds-data-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmcdonalds-data-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4053453}},{"tool":"search_jobs","arguments":{"company":"mcdonalds.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4053453},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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