Data Analyst

Advanced Bio-Logic Solutions Corp•Newbury Park, CA

1d•Remote

About The Position

Join a large biotech pharmaceutical leader as a hands-on Data Analyst supporting R&D Business Operations. You will leverage your expertise with the Microsoft analytics ecosystem to pull, clean, automate, and visualize complex datasets for supplier management and business optimization. This role emphasizes hands-on execution, partnership with cross-functional stakeholders, and rapid development of data-driven digital tools that drive efficiency and innovation. Candidates must demonstrate strong real-world experience with analytics and automation platforms.

Requirements

Hands-on expertise with Power BI, Power Automate, Power Apps, Excel, and SharePoint
Strong capabilities in building, cleaning, automating, and visualizing complex datasets
Proven track record developing automated data comparisons, dashboards, and alerting solutions
Experience independently delivering analytics solutions in technically demanding environments
Ability to manage multiple, competing priorities and deliver organized, timely work
Data Visualization & Analytics: Power BI, Tableau (or Spotfire), dashboard and visualization expertise
Data Transformation & Management: Skilled in processing, filtering, cleaning, and restructuring large datasets (MS Lists, Power Apps)
Automation, AI & Advanced Tools: Experience with Power Automate, UiPath, and advanced Excel
Bachelor Degree & 2+ years of experience (Engineering, Operations, or Scientific)

Nice To Haves

Experience in biotech, biopharma, medical device, R&D, or supply chain environments
Familiarity with Tableau, Spotfire, or other advanced analytics/visualization tools
Interest in supplier management optimization and operational workflow enhancement
Passion for exploring and making sense of large, complex datasets
Strong intellectual curiosity and eagerness to learn new analytics tools and methods

Responsibilities

Design, build, and maintain dashboards and visualizations for supplier performance tracking and business insights
Prototype and customize analytical applications using data science model outputs
Partner with business stakeholders to refine analyses and dashboard designs iteratively
Collaborate with IS and Data Engineering to align on robust data models and pipelines
Develop, monitor, and report key supplier performance metrics
Identify and implement process automation and AI-driven solutions to improve workflows
Explore, test, and adopt new tools and analytics methodologies as needed
Coordinate project delivery for analytics and automation initiatives on schedule
Deliver dashboards and tools for supplier performance and business insights
Rapidly iterate on analytical applications based on feedback
Collaborate with stakeholders and technical partners to ensure utility and alignment
Implement automation and AI to drive business process improvement
Continuously enhance reporting, automation, and analytics capabilities