About The Position

This role is a Technical Operational Excellence (OpEx) Data Analyst for Vertex Pharmaceutical's Manufacturing Center. It is a 12-month contract W2 role and requires onsite presence.

Requirements

  • Pharma/biotech manufacturing familiarity (GxP context, tech transfer, batch records).
  • Python (Data manipulation, visualization, API integration), SQL fluency.
  • Experience with lean six sigma and value stream analysis.
  • Strong communication skills for value story development.

Nice To Haves

  • Experience building slide automation or templated reporting (Power Automate, python-pptx, or similar).
  • Power BI dashboard development.
  • Snowflake data platform experience.

Responsibilities

  • Own the data pull and visual assembly for recurring reporting (e.g. project updates).
  • Maintain project tracking and status synthesis for daily check-ins and leadership updates.
  • Serve as first responder on ad-hoc data and analysis requests from stakeholders.
  • Design and build a standardized value stream data architecture with reusable schema definitions.
  • Consolidate historical Value Stream Analysis (VSA) work into a single, quarriable baseline dataset.
  • Build a standard benefits logic library, ROI calculator, and integrated Value Register that ties baseline to intervention to measured outcome.
  • Build standard benefits logic library defining calculations for time savings, throughput improvement, cycle time reduction, rework reduction, and cost avoidance.
  • Develop ROI calculator tool enabling consistent, defensible benefit quantification.
  • Create integrated OpEx Value Register linking baseline → intervention → measured outcome → dollar value with supporting evidence.
  • Support daily check-in facilitation (maintain tracker, flag blockers, draft status summaries).
  • Ad-hoc data pulls, analysis and project update requests.
  • Build a small library of reusable slide layouts for recurring reporting formats.
  • Standardized value stream baseline schema with canonical definitions for cycle time, queue time, rework loops, gate timestamps, resource allocation, and yield.
  • Consolidated historical VSA dataset in standardized schema forming a single, comparable dataset across programs and time periods.
  • Build Power BI monitoring dashboards to track TAT trends, flags regressions, and shows before/after for active improvement initiatives.
  • Documented standard benefits logic with locked assumptions for each benefit type we commonly claim (time savings, throughput improvement, cycle time reduction, rework reduction, cost avoidance).
  • Build a lightweight ROI calculator (one tool, select benefit type, plug in values, get a defensible number).
  • Build the OpEx Value Register: single source of truth logging every initiative with baseline, intervention, measured outcome, benefit type, calculated ROI, and linked evidence.
  • Integrate the Value Register with the VSA dataset (shared identifiers, traceable chain from value stream state to intervention to outcome to dollar value).
  • Scenario modeling capability using baseline dataset (e.g., "if we cut queue time at Gate X by 20%, what's the expected TAT impact?").
  • Establish a repeatable workflow for exec-ready value stories that pulls from the Register and VSA data rather than rebuilding from scratch.

Benefits

  • Compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by the third-party agency partner upon offer.
  • Eligible for overtime pay, in accordance with federal and state requirements.
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