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Job Description & How to Apply Below
• 0 - 4 Years Experience
Location:
Remote
Employment Type:
Full Time
Domain: Healthcare Operations & SaaS Analytics
Core Stack: Python, SQL, Big Query, Looker Studio / Power BI, App Sheet, SSRS, GCP
About Seven Seas Strategies
Seven Seas Strategies (SSS) is a data consulting firm that builds modern data infrastructure, reporting systems, and automation for operating businesses. Our work spans US healthcare operations and healthcare software platforms, helping clients turn raw data into actionable insights and scalable systems.
You will work across two primary engagements:
Building operational data pipelines, dashboards, and workflow automation for multi-site healthcare operations company
Supporting analytics and reporting for a pathology Laboratory Information System (LIS) used by laboratories across the US
We are a lean, high-ownership team, where you will work across the full data stack from day one.
Role Overview
We are looking for a hands-on Data Analyst / Data Engineer who is comfortable working across data pipelines, dashboards, database queries, and automation.
The role combines data engineering, analytics, and reporting, supporting both operational data systems and software product analytics.
Key Responsibilities
Data Engineering & Pipelines
Build ETL pipelines moving data from APIs and source systems into cloud warehouses
Manage scheduled pipelines on Google Cloud (Big Query, Cloud Run, Cloud Storage)
Ensure data quality and reliability across reporting systems
Reporting & Analytics
Build dashboards using Looker Studio or Power BI
Define and track operational KPIs for healthcare operations and software platforms
Deliver ad-hoc analysis and reporting
LIS / LIMS Reporting
Build and maintain SSRS reports for pathology laboratories using the client’s LIS platform
Write SQL queries and stored procedures to support reporting logic
Understand the LIS database schema and troubleshoot reporting support tickets
Applications & Automation
Build internal tools using App Sheet and workflow automation tools
Automate operational processes using GCP and integration tools
Requirements
Must Have
Python and SQL proficiency
Experience with a cloud data warehouse (Big Query, Snowflake, Redshift, etc.)
Dashboard development (Looker Studio, Power BI, Tableau)
Strong Excel / Google Sheets skills
Nice to Have
Experience with SSRS or SQL-based reporting
Exposure to Google Cloud Platform
Familiarity with healthcare data systems (EHR / LIS)
Experience with no-code tools (App Sheet, Retool)
Why Join
Fully remote role with flexible hours across US and India timezones
Work across data consulting and healthcare software products
Exposure to real-world US healthcare analytics projects
Opportunity to grow into a Senior Data Engineer or Analytics Lead
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