Clearstate specializes in healthcare-focused market intelligence and strategic advisory services, assisting MedTech companies, biotechnology firms and healthcare service providers in identifying and leveraging market growth opportunities. Our data collection approach combines market research techniques, data processing and analytical frameworks.
We are committed to delivering actionable strategies rooted in robust data analytics, built on the basis of market realities, empowering our clients to make informed decisions.
Role: Data Analytics Engineer (Data Pipelines + Tableau)
About the role:
This is a hands-on role spanning two connected areas of our analytics workflow.
1. Upstream Foundation: You’ll support ingesting data from external sources (APIs/files/web where appropriate), automating internal data pipelines (e.G., scheduled refreshes, dataset consolidation, basic data lineage tracking), and using ML-assisted approaches to map and clean data, while helping modernize our analytics foundation into a centralized data warehouse (e.G.,
BigQuery on Google Cloud).
2. Downstream Analytics Delivery: You’ll support delivering analytics data products (e.G., reusable datasets and forecasting models) and translating results into trusted, interactive Tableau dashboards that stakeholders use for decision-making.
Key Responsibilities:
Data ingestion, cleaning & automation
- Ingest and integrate data from external/internal sources (APIs/files/spreadsheets/web where appropriate)
- Build and maintain automated data workflows using Python and/or Google Apps Script (JavaScript)
- Improve data quality and reduce manual work, including ML-assisted approaches to map and clean data (e.G., matching, deduplication, standardization)
- Maintain and enhance existing scripts (Python/R) and convert ad-hoc work into repeatable processes
Data warehouse management
- Build ETL/ELT workflows to load and transform data from external/internal sources into an onlin
📌 Data Engineer (Panipat)
🏢 Clearstate Pte.
📍 Panipat
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