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hirist

Senior Data Analytics Engineer - Python/SQL

Posted on: 17/11/2025

Job Description

Overview :

We're looking for a creative and driven Senior Analytics Engineer to join our high-performing Data Analytics team in a fast-paced Healthcare IT environment.

This is a hands-on role for someone who's passionate about turning complex business questions into elegant data models and actionable insights.

You'll partner with stakeholders across the company to shape data into a strategic asset and help us unlock the power of analytics and AI to drive decisions and innovation.

What You'll Do :

- Partner with business teams to deeply understand their goals and translate them into elegant, scalable data solutions.

- Design and implement trusted data models (dimensional/star schemas) to support self-service analytics and robust decision-making.

- Bring clarity to complexity : translate raw data into intuitive stories, metrics, and visualizations that inspire action.

- Drive adoption of the Enterprise Data Model; build, extend, and maintain scalable dbt pipelines.

- Explore GenAI and ML opportunities to enhance our data products.

- Support CRM, marketing, and customer-facing teams with custom analytics solutions.

- Contribute to our DataOps culture by championing reliability, reproducibility, and automation across the stack.

- Collaborate on enterprise-grade dashboards and visualizations using modern BI tools.

- Manage and optimize our Databricks environment.

What You Bring :

- 5+ years of experience in data engineering, analytics, or related fields; a proven ability to build and evolve analytics solutions.

- Fluency in SQL, dbt, and ideally Python; strong understanding of modern data tooling and engineering principles.

- Experience working with Databricks (on AWS preferred).

- Curiosity about Generative AI, data products, and how emerging tools can drive business value.

- Demonstrated ability to work across business domains (marketing, product, finance, sales, customer success, etc.

- Experience with cloud-native data sources like Salesforce or NetSuite.

- Clear, compelling communication-both technical and business-facing.

- A product mindset and a passion for continuous learning.

- The rate is 17/hr to 19/hr USD, depending upon experience.

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