Overview:
We are seeking highly motivated candidates with a passion for data analytics, statistical modelling, and data visualization technologies to join our team. The successful candidate will be given opportunities to apply their expertise to enhance the way data is used to inform and make decisions.
The Data Analyst will be engaged in the integration of data and information management systems, working with various operations groups, this individual will also be the liaison to between the site and corporate functions working on advanced digital transformation programs.
Who We Are:
No Deviation is a provider of patient-centric solutions for the pharmaceutical industry, and we are currently seeking individuals who are passionate about joining our team. Our areas of expertise include engineering consultancy, Commissioning Qualification Validation (CQV), as well as Quality, Compliance, and Regulatory services.
We strongly uphold our core values of Empathy, Integrity, and Transparency, and we strive to create a collaborative, innovative, and inclusive work environment that fosters personal growth and development.
Responsibilities:
All listed tasks and responsibilities are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities.
- Developing, enhancing, automating, and managing analytics models.
- Creating striking visualizations to aid in data interpretation and usage.
- Understanding business needs and developing novel yet practical data-driven solutions to meet those needs.
- Demonstrating modelling and visualization approaches as part of proof-of-concept projects.
- Exploring and evaluating new tools and techniques to improve the team’s operational capabilities.
- Performing ad hoc data analysis for executive audiences.
- Helps foster a culture of data analytics and visualization (e.g., through adoption of best practices, identification of colleagues who share an interest and passion for data analysis, or development of a learning group).
- Provide training to the site staff on various advanced data analytics platforms working with corporate partners.
Qualifications:
- Doctorate Degree in Chemical, Biochemical Engineering, Life Sciences, Mathematics and/or Statistics OR
- Master’s Degree in Chemical, Biochemical Engineering, Life Sciences, Mathematics and/or Statistics and 2 years of Engineering, Operations, or Scientific experience OR
- Bachelor’s Degree in Chemical, Biochemical Engineering, Life Sciences, Mathematics and/or Statistics and 4 years of Engineering, Operations, or Scientific experience OR
- Diploma in Chemical, Biochemical Engineering, Life Sciences, Mathematics and/or Statistics and 8 years of Engineering, Operations, or Scientific experience.
- Experience with biopharmaceuticals development and manufacturing.
- Expertise in problem formulation for development of computational models.
- Experience with advanced statistical/analytical techniques and machine learning algorithms.
- Proficiency in at least one statistical software package (such as SIMCA or JMP).
- Experience with data visualization tools or packages, such as Tableau and Spotfire.
- Proficiency in multiple programming languages, with particular emphasis on SQL, Excel, Python, and R.
- Experience in working in a cross-functional team environment with multifunctional partners and stakeholders.
- Excellent written and verbal communication skills, including facilitation and presentation skills.
- Experience processing, filtering, and presenting large quantities of data stored in data warehouse or data lake repositories and data extracted directly from the source systems.