Senior Healthcare Data Analytics Engineer - ML & Dashboards

PsychPlus

Pakistan

Hybrid

PKR 33,213,000 - 44,285,000

Full time

11 hours ago
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Job summary

PsychPlus is hiring a Senior Data Analytics Engineer to drive data products improving patient care and healthcare operations. You will develop analytics pipelines, dashboards, and reports, applying ML/AI capabilities while ensuring data security and compliance.

The role combines data engineering, analytics, and product-focused insights in a healthcare tech environment. You will collaborate with clinical teams, operations, and software engineers to deliver scalable data solutions.

Qualifications

  • 6+ years of experience creating modular, version-controlled data pipelines.
  • Experience with Python/PySpark and SQL in production data environments.
  • Familiarity with Power BI and DAX for dashboards.
  • Healthcare data experience preferred.

Responsibilities

  • Design and maintain datasets and automated reports to monitor product features.
  • Define KPI metrics, data sources, and reporting cadence for stakeholders.
  • Lead architecture decisions, modelling standards, and mentor teammates in data engineering.
  • Improve data pipelines from bronze to silver to gold, with idempotent design and quality checks.
  • Develop Data Quality checks and automated tests across ingestion and processing layers.
  • Define analytics tracking for in-app events and new features.
  • Contribute to building ML/AI pipelines in Python with AI Scientists and Engineers.

Skills

Python
PySpark
SQL
Power BI
DAX
Healthcare data

Tools

Microsoft Fabric
Databricks

Job description

PsychPlus is hiring a Senior Data Analytics Engineer to drive data products improving patient care and healthcare operations. You will develop analytics pipelines, dashboards, and reports, applying ML/AI capabilities while ensuring data security and compliance.

The role combines data engineering, analytics, and product-focused insights in a healthcare tech environment. You will collaborate with clinical teams, operations, and software engineers to deliver scalable data solutions.

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