{"id":3841903,"url":"https://alion.io/job/bees-intermediate-data-ops-analyst","title":"Intermediate Data Ops Analyst","company":{"id":668841,"name":"BEES","domain":"bees.com","url":"https://alion.io/company/bees-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":90,"open_postings":5,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Campinas, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Gitflow","optional":false},{"name":"Incident Management","optional":false},{"name":"ITIL","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Swagger","optional":false},{"name":"Azure DevOps","optional":true},{"name":"Opsgenie","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-05T19:14:56Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T21:19:52Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About us\nAB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.\nAbout BEES \nJoin us to build the future of B2B commerce! \nBEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. \nAt BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow. \nEvery line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference! \nWhat you will do:\nIncident Management & Triage\nPerform triage, initial diagnosis, and impact analysis of data incidents, classifying them byseverity, urgency, and business impact.\nConduct multi-level data analysis: 1st level (data consistency and data quality checklists) and2nd level (data issue sourcing for onboarded data products).\nIdentify the type and location of the issue (data production, processing, or consumption) byvalidating the full workflow/pipeline.\nRespond to bug reports in compliance with SLAs (deadlines, severity, escalation paths,notifications).\nParticipate in War Rooms and crisis responses (Sev1/Sev2) as L2 support.\nData Analysis & Troubleshooting\nPerform troubleshooting using SQL, PySpark/Scala (Databricks), and NoSQL (MongoDB).\nExecute complex ad-hoc data extractions for audits, one-off analyses, and incidentinvestigations.\nValidate data flows end-to-end - from source systems (CosmosDB) through processinglayers (Bronze/Silver/Gold) to consumption (dashboards, APIs, data sharing).\nExecute configuration updates: pipeline parameters, reference tables, and business rulesadjustments.\nPerform technical interventions in production SQL and NoSQL databases to correctapplication states when required.\nRoot Cause Analysis & Continuous Improvement\nDevelop action plans based on root cause analysis (RCA), connecting cross-teaminvestigative processes.\nIdentify patterns in recurring issues and propose improvements/optimizations to engineeringand product teams.Contribute to proactive incident detection by monitoring instrumented alerts (job healthchecks, data consistency alerts).\n\nIdentify, communicate, and manage operational risks before they escalate.\nCommunication & Stakeholder Management\nProactively communicate the status of each open ticket to impacted stakeholders.\nFacilitate communication between Operational and Analytical teams, bridging DataEngineering, Data Analytics, and Product/Application teams.\nEngage technical specialists and escalate to Incident Specialist when applicable.\nFollow up with project teams to ensure resolution deadlines and customer satisfaction.\nConnect with Data Product Managers (DPMs) to stay updated on KPIs, reports catalog, anddata entity catalog per domain.\nKnowledge Management & Documentation\nCreate, maintain, and continuously improve a structured knowledge base (runbooks,troubleshooting guides, resolution records).\nDocument evidence, resolution steps, and root causes for every incident.\nContribute to data flow diagrams and operational documentation using collaborative tools(Lucidchart, Confluence).\nMaintain understanding of product data flows and platform architecture to support effectivediagnosis.\nService Requests & Operational Execution\nExecute planned data operations and standard service requests (data extractions,configuration updates).\nDefine and refine data-related SLAs in alignment with stakeholders (flows, severities, MTR).\nProvide follow-up on metrics related to ticket resolution, SLA compliance, and product impact.\nWhat you'll need\nBachelor's degree in Computer Science, Data Science, Information Technology, Engineering,or related field.\nProven experience in Data Operations, Data Analysis, Support Engineering, or similar hybridrole.\nStrong SQL skills (Snowflake preferred) and ability to query and analyze large datasets.\nExperience with PySpark or Scala in Databricks environments.\nFamiliarity with NoSQL databases (MongoDB, Cosmos DB).\nUnderstanding of data pipeline concepts and architectures (ETL/ELT, Data Lake layers -Bronze/Silver/Gold).\nExperience with data quality dimensions (accuracy, completeness, validity, consistency,timeliness, uniqueness).\nFamiliarity with Git and git-flow practices.\nIntermediate knowledge of analytics infrastructure (Databricks/Unity Catalog, DataFactory,Power BI, Azure Storage/DataLake).\nExperience with incident management processes (ITIL-aligned) and SLA-drivenenvironments.\nAbility to read and interpret data flow diagrams, API contracts/Swagger, and systemarchitectures.\n Advanced English (written and verbal).\nNice to have\nKnowledge of DBT (SQL + Jinja).\nBasic understanding of DevOps Engineering (Azure Pipelines, Terraform).\nExperience with telemetry/observability tools (Segment, Mixpanel, OpsGenie).\nFamiliarity with Azure Cost Analysis.Experience with data governance tools (Atlan, Unity Catalog).\n\nKnowledge of data sharing protocols (Azure Delta Sharing, Standard Data Offerings).\nMore about you\nStrong analytical and problem-solving mindset - you thrive on investigating root causes andconnecting dots across systems.\nExcellent communication skills - you can translate technical findings into clear updates forstakeholders at all levels.\nProactive and responsive - you don't wait for problems to escalate; you anticipate and act.\nOrganized and process-oriented - you value documentation, knowledge reuse, andoperational consistency.\nCollaborative - you bridge teams naturally (Engineering, Product, Analytics) and buildproductive working relationships.\nComfortable working under pressure, managing multiple incidents, and prioritizing effectively.\nHigh level of self-motivation, curiosity, and desire to continuously learn and improveoperational maturity.\nAbility to work in a global, multi-country support context..\nWhat We Offer:\nPerformance-based bonus*\nAttendance Bonus* \nPrivate pension plan\nMeal Allowance\nCasual office and dress code\nDays off*\nHealth, dental, and life insurance\nMedicines discounts\nGympass partnership\nChildcare subsidies\nDiscounts on Ambev products*\nClube Ben partnership\nScholarship*\nSchool materials assurance\nLanguage and training platforms\nTransport allowance\n*Rules applied","description_format":"text","description_chars":6470,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Life insurance"],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["E-commerce Platforms","Marketplaces"],"lifecycle":[{"event":"open","at":"2026-11-05T23:13:25Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":50,"reasons":["conf:2","velocity","win:early"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/bees-intermediate-data-ops-analyst","json_url":"https://alion.io/job/bees-intermediate-data-ops-analyst.json","meta":{"generated_at":"2026-11-06T23:04:51Z","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":2033,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":668841},"rest":"https://alion.io/mcp/rest/get_company?id=668841"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbees-intermediate-data-ops-analyst"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fbees-intermediate-data-ops-analyst"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fbees-intermediate-data-ops-analyst"},{"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/bees-intermediate-data-ops-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbees-intermediate-data-ops-analyst"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3841903}},{"tool":"search_jobs","arguments":{"company":"bees.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3841903},"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); 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