Senior Data Operations Analyst

🔥 12 hours ago

🌐 Colombia, Peru, +6 more countries – Remote

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⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

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DevSavant

51 - 200 employees

Founded 2020

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

DevSavant is a digital solutions provider that empowers B2B SaaS companies by offering comprehensive services such as nearshore outsourcing, data engineering, software development, digital marketing, and UX/UI design. With a focus on the American market and leveraging talent from Latin America, DevSavant positions itself as an extension of its clients' teams to facilitate growth, adaptability, and market competitiveness. The company also offers specialized services in Salesforce management and WordPress development, striving to enhance operational efficiency and online presence for its clients.

📋 Description

• 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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