Overview
Hybrid3 days - onsite | 2 Days Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 1 Year(s)
50% Travel
Skills
API
Amazon Web Services
Auditing
Computer Science
Dashboard
Data Integrity
Data Validation
Documentation
GxP
KPI
Microsoft
Microsoft Azure
Microsoft Excel
Microsoft Power BI
Python
QMS
Real-time
Reporting
Scripting
Snow Flake Schema
Veeva
Job Details
Title: Data Analytics Specialist
LOcation: Boston, MA (Hybrid)
Duration: Long Term
REQUIREMENTS:
LOcation: Boston, MA (Hybrid)
Duration: Long Term
REQUIREMENTS:
- 3+ years experience analyzing and manipulating data
- Bachelors degree in a Scientific, computer science or Allied Health field
- Pharma/Biotech/Health industry (GxP) experience required
- Very strong Python scripting, coding and troubleshooting experience
- Strong Power BI, Smartsheet, AWS, Excel experience
- Must have extensive experience creating and maintaining complex dashboards with data from various multiple sources
- Extensive experience developing and generating Metrics, KPIS, Dashboards and Ad Hoc Reports
- Veeva & Snowflake experience a big plus
- Automation and integration experience
- Stakeholder relationship experience
JOB RESPONSIBILITIES:
- Lead automation and integration of CDMO data sources, building pipelines, data mappings, and validation processes to ensure upstream data integrity and audit readiness.
- Build and maintain Power BI dashboards to track batch disposition, deviation trends, closure timelines, and QMS performance.
- Improve reporting efficiency by 75% through Python- and AWS-based automation for data transformation, cleaning, and aggregation.
- Implement structured data pipelines across systems including Smartsheet, Veeva QMS, and Power BI, enabling real-time operational reporting.
- Create a custom internal application using Microsoft Graph API and Azure App Registration to automate file uploads, organize documentation, andenable dynamic permissions for stakeholder access.
- Coordinate, investigate and resolve data discrepancies, ensuring consistent and reliable reporting inputs.
- Conduct data validation and quality checks to support audit documentation and internal reporting accuracy.
- Optimize dashboard performance through Power BI query improvements
- Maintain internal documentation of data processes, dashboard logic, and reporting cadences to support reproducibility and stakeholder transparency.
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