Business Intelligence Analyst (CRO or Pharma) - Remote
- +3
- +5
- Tennessee, United States
- +3
- +5
- Tennessee, United States
Über
About MMS
MMS is an innovative, data-focused CRO that supports the pharmaceutical, biotech, and medical device industries with a proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS maintains a 97 percent customer satisfaction rating.
Our mission is to deliver high-quality service and technology solutions – rooted in strong science and decades of regulatory experience – that will assist our clients in developing and marketing life-changing therapies to positively improve lives worldwide.
MMS recognizes that a talented staff is what drives our business forward. Identifying and attracting top talent and continual training to strengthen core skills are essential to its core mission. At MMS, enthusiasm, collaboration, and teamwork are fostered, knowing that a global and diverse talent pool makes the company stronger. For more information, visit www.mmsholdings.com or follow MMS on LinkedIn.
Responsibilities:
Independently maintain a strong understanding of regulations and guidance as they pertain to data centric deliverables; mentors others and advises on MMS on industry trends and technologies
Lead the design and development of advanced Power BI reports and dashboards
Strong understanding of new methods, tools, and solutions to meet the needs of internal and external stakeholders and teams
Develop and deliver training for internal and external stakeholders regarding Data Science processes and deliverables
Ability to develop Power BI solutions that pull data from multiple data sources (internal and external)
Provide guidance on data modeling and DAX calculations
Work with customers to demonstrate capabilities and gather requirements
Collaborate with stakeholders to define data requirements
Ensure data security and compliance
Troubleshoot and optimize Power BI reports
Prepare, correct, modify, and analyze data sets using complex analytic techniques
Strong experience mentoring others, both technical and non-technical, toward a better understanding of data science methodologies and results
Stay updated with industry trends and best practices
Requirements:
College graduate in Data Science or similar discipline, or related experience, Masters or PhD preferred.
Minimum of 3-5 years’ experience in Data Science or similar field required.
Extensive experience in developing and optimizing complex Power BI solutions, ensuring high performance and scalability
Ability to implement drill-down functionalities and cross-page slicers for comprehensive data exploration across multiple dashboard layers
Proficient in connecting and extracting data from various data sources, ensuring seamless data flow into Power BI
Advanced expertise in data modeling, including creating semantic models, managing relationships, and structuring facts and dimensions.
Ability to translate complex data sets into actionable insights through effective dashboard design and intuitive data visualization
Proficient in DAX for creating measures and calculated columns, enabling dynamic and insightful data analysis
Preferred experience with leading or coordinating development of a data analytics platform or application
Strong SQL skills for complex data querying, manipulation, and optimization.
Skilled in designing dynamic and interactive visualizations, incorporating drilldowns, cross-page slicers, and custom visual interactions
Ability to anticipate and effectively resolve potential problems with client demands
Demonstrates managerial skills and experience
Proficiency with MS Office applications
Hands-on experience with clinical trial and pharmaceutical development preferred
Good communication skills and willingness to work with others to clearly understand needs and solve problems
Wünschenswerte Fähigkeiten
- Power BI
- Data Modeling
- SQL
- Data Analytics
- Data Visualization
Berufserfahrung
- Data Engineer
- Data Analyst
- Data Scientist
Sprachkenntnisse
- English