Senior Business Operations Analyst
New
J
JavvyConsumer beverages
Remote - USAFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3–5 years of experience in business operations, data analytics, or business analytics
- Required Skills
- Project ManagementSQLMicrosoft Power BITableauBigQueryLooker
Requirements
- Have 3–5 years of experience in business operations, data analytics, or business analytics.
- Write and optimize SQL queries independently, debug data issues, and use joins, window functions, and CTEs.
- Have hands-on experience with BigQuery and a modern BI platform such as Looker, Tableau, or Power BI.
- Build complex dashboards, tune performance, and follow BI best practices.
- Understand data pipelines, validation, and data quality checks.
- Be able to technically validate data work and communicate with engineers.
- Track project timelines, manage dependencies, follow up with stakeholders, and raise risks early.
- Explain analytics to technical and non-technical audiences and know when to resolve or escalate issues.
- Have experience across multiple functions, especially finance and marketing.
- Have experience managing vendors or coordinating with external teams.
- Deliver quality work on schedule when requirements are ambiguous.
- Subscription or DTC business model experience is a bonus.
- Familiarity with CPG or omnichannel retail data, including Amazon, wholesale, or retail POS, is a bonus.
Responsibilities
- Gather requirements and business context from internal teams before scoping work.
- Coordinate with the external data agency, manage timelines, track status, and validate deliverables.
- Conduct discovery conversations, scope routine analytics requests, and route or escalate work appropriately.
- Build dashboards and reports for finance, marketing, operations, sales, and other functional areas.
- Write and optimize SQL queries and run assigned analyses and models.
- Validate data quality and test technical deliverables against the data warehouse.
- Maintain the project tracker, backlog, priorities, dependencies, timelines, and blockers.
- Keep stakeholders informed, follow up on missing inputs, and flag delays and resource conflicts.
- Monitor dashboard health, troubleshoot issues, audit data sources, and handle routine maintenance.
- Maintain documentation and a knowledge base for custom data solutions.
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