Senior Data Operations Analyst
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Job Description
Senior Data Operations Analyst ensuring reliable, customer-facing analytics products for a remote-first company. Managing data quality, releases, and cross-functional delivery across LATAM.
Responsibilities:
- Monitor data quality at each stage of the pipeline and build scalable aggregate-level test plans
- Distinguish real signal from data-quality issues using hypothesis testing
- Conduct root-cause investigations that result in prevention
- Own end-to-end data product releases accurately, reliably, and on time
- Project-manage cross-functional squads across concurrent deadlines
- Communicate action plans and timelines directly to clients
- Own coverage expansion initiatives from scoping through delivery
- Partner with Commercial to turn customer data usage into frictionless solutions
- Work with Data Science and Engineering to close feasibility gaps
- Use AI to streamline workflows without adding QA overhead
- Report to the VP of Data Operations
Requirements:
- 6+ years in data-focused roles
- Expert SQL, with a track record of mining large datasets for inconsistencies
- Experience at real scale: complex multi-table environments with frequent update cycles, not static extracts
- Experience designing data quality test plans that hold up in aggregate
- Comfort making defensible judgment calls when the outcome is genuinely unclear
- Direct collaboration with Engineering and Data Science
- Cross-functional project management with accountability for business outcomes
- Customer-facing experience translating client feedback into technical feasibility
- Experience with advanced SQL, dbt, YAML, Regex, Excel, BigQuery, GCP Cloud Storage, Dataproc, complex ETL, Looker, Redash, and Git
- Python, panel/longitudinal/subscription data, pandas or PySpark exposure are nice to have
- Managing data vendors, mentoring teammates, data-as-a-product/market intelligence/syndicated data, and experience in a small remote-first team are nice to have
- Ability to work full-time during US business hours
- LATAM-based
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