About Selario
Selario is a growth-intelligence platform for Amazon & TikTok sellers. We turn messy, multi-channel data into clear, actionable insights.
What you’ll do
- Own daily/weekly data loads for multiple customers: organize folders, standardize naming, validate CSV/Excel files, map columns to Selario schemas, and upload into the app.
- Improve and automate the pipeline—document SOPs, build templates, and use scripts/automation tools to reduce manual steps as our customer base scales.
- Monitor data quality with checks/reconciliations; resolve discrepancies quickly and communicate status to Customer Success and Engineering.
- Partner with Engineering to recommend better technical methods (APIs, scripts, connectors) and streamline ingestion, transformations, and audits.
- Create playbooks and train others, laying the groundwork for a growing Data Ops team.

What makes you a great fit
- 2−4+ years in Data Operations, Analytics Engineering, or a similar hands-on data role.
- Strong with CSV/Excel/Google Sheets hygiene and data normalization; comfortable with SQL (joins, aggregations; window functions a plus). Python or similar scripting is a bonus.
- Experience with ETL/ELT and automation tools (e.g., Make/Zapier/Airflow), and cloud storage/versioning (e.g., GDrive/S3/Git) preferred.
- Familiarity with e-commerce datasets—Amazon Seller Central/SP-API, Ads data, TikTok Shop—is a plus.
- Process-minded, documentation-friendly, and biased toward automation, reliability, and simplicity.

What success looks like (first 90 days)
99% on-time data loads across assigned accounts with <1% ingestion error rate.
30−50% fewer manual steps via repeatable templates, scripts, or connectors.
Clean, searchable folder structure + SOPs + validation checklists the whole team can use.
A clear roadmap to scale data ops as the customer count grows.
Growth path & opportunity
Join at the beginning, grow into leadership (Lead → Data Operations Manager) as we scale. This is a long-term role with real ownership.
Location: Remote (PST overlap preferred)
Type: Full-time
Payment is hourly, but we expect full-time availability. The company is based in the USA (Los Angeles), so we give preference to candidates who can work during evening hours. All training is provided through video instructions.
Надсилайте резюме чи заявки на Work.ua або Telegram за номером +48 793 266 967

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