Intermediate Data Ops Analyst
Core
Manage data incidents, perform troubleshooting, and ensure data quality across AB InBev's B2B commerce platform (BEES) for merchants and retailers globally.
Role type
Intermediate Data Operations Analyst (Data Support & Engineering)
Builds
Data quality, reliability, and operational stability for BEES B2B platform
Domain
Consumer Goods / B2B Commerce / Data Operations
Required skills
SQL, PySpark/Scala, NoSQL (MongoDB, CosmosDB), Data Pipeline Architecture (ETL/ELT), Root Cause Analysis, Incident Management (ITIL), SLA Management, Data Quality Dimensions, Git
Preferred skills
DBT, Azure Pipelines, Terraform, Telemetry/Observability tools, Azure Cost Analysis, Data Governance tools
Technologies
Snowflake, Databricks, Unity Catalog, Data Factory, Power BI, Azure Storage/DataLake, MongoDB, CosmosDB, Git, Lucidchart, Confluence, OpsGenie, Segment, Mixpanel
Responsibilities
Triage and diagnose data incidents; execute complex ad-hoc data extractions; validate end-to-end data flows; perform technical interventions in production databases; develop action plans based on root cause analysis; maintain knowledge base and operational documentation; define and refine data-related SLAs.
Seniority
Intermediate, hands-on IC
