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[Remote] R&D Quality Business Systems / Business Intelligence Principal Analyst

Anywhere
full-time
Posted 10/10/2025
Verified Source
Key Skills:
Power BI
Tableau
Data Analysis
Microsoft Office (Teams, SharePoint)
Project Management
Data Translation
Leadership
Python
Smartsheet

Compensation

Salary Range

$120K - 160K a year

Responsibilities

Lead and support analytics initiatives within R&D Quality Assurance by developing BI frameworks, overseeing technology and business intelligence projects, ensuring data integrity, and facilitating data-driven decision making.

Requirements

Requires 5-7 years technical experience with BI tools, advanced MS Office skills, understanding of GxP principles and Quality Management Systems, strong communication and leadership skills, and preferably pharmaceutical industry experience.

Full Description

Note: The job is a remote job and is open to candidates in USA. Dice is the leading career destination for tech experts at every stage of their careers. They are seeking a Business Intelligence Principal Analyst to manage deliverables and support analytics initiatives within the R&D Quality Assurance team. The role involves collaborating across teams to enhance decision-making through data analytics and reporting tools. Responsibilities • Support activities for the development and advancement of the RDQA analytics and information framework to enable effective quality oversight, governance, communication and data driven decision making. • Provide design, development oversight to teams in RDQA on technology and key business intelligence initiatives. • Serves as a business analyst, project/technical lead for process and technology initiatives related to data accessibility, data connectivity and aggregate analytics and reporting. • Provide data translation support (i.e., translate complex data insights into understandable and actionable information for decision-makers) to teams ensuring quality and business needs and workflows are adequately aligned. • Monitor and ensure the integrity of key data to create a robust data environment and metrics suite for reporting across the client's development portfolio. • Support analytics implementation services (i.e., analytics Center of Excellence) including communication, change management, user documentation, and data literacy. • Serve as subject matter and data expert for specific cross-departmental initiatives. • Support execution of broader projects and initiatives to help achieve goals and strategic initiatives as well as meet timelines. • Remain at the forefront of industry specific systems and technologies understanding their applicability and functionality to the analytics strategy within RDQA and the client. • Performs other duties as assigned. Skills • Strong data visualization skills and experience with relevant tools including (Power BI, Tableau, Snowflake, R, and Python. • Advanced Microsoft Office suite (including Teams and SharePoint) and Smartsheet skills. • Strong problem solving and critical thinking skills, accompanied by Analytical thinking / Data Analysis skills required to make sound decisions. • Understanding of the principles of GxP good practices (e.g., Google Cloud Platform) and applicable regulations guiding the drug development life cycle. • Understanding of industry standards for Quality Management Systems and familiarity with technology solutions (e.g., Veeva). • Effective communication skills to communicate professionally, clearly, concisely, and consistently both verbally and in writing to internal and external customers. • Ability to work independently with minimal guidance, organizing and prioritizing work effectively for timeliness, accuracy/completeness, and quality. • Strong leadership, decision-making, project management, and negotiation skills. • Ability to support data translation efforts working will all levels of data end users. Develops job aids to foster data literacy and delivers one on one and small group facilitation as appropriate. • B.S. in a scientific or quantitative field such as Data Analytics or Data Science (or equivalent degree) and 5-7 years of relevant technical work experience or comparable relevant background. • M.S. in a scientific or quantitative field such as Data Analytics or Data Science (or equivalent degree) and 3-5 years of relevant work experience or comparable relevant background. • Demonstrable experience in the pharmaceutical, biotechnology or device industry solving business and/or compliance challenges through the application of analytic approaches strongly preferred. Company Overview • Welcome to Jobs via Dice, the go-to destination for discovering the tech jobs you want. It was founded in undefined, and is headquartered in , with a workforce of 0-1 employees. Its website is https://www.dice.com.

This job posting was last updated on 10/13/2025

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