Business Intelligence Analyst- Clinical Operations (India, Hybrid/Remote)

MMS is an award-winning, data-focused clinical research organization (CRO) recognized for its exceptional culture and employee retention. The Business Intelligence Analyst will be responsible for developing requirements from business needs, utilizing data visualization tools, and mentoring team members to enhance understanding of data science methodologies.

Responsibilities:

• Proficiency in problem-solving with an ability to meet with stakeholders to develop requirements and specifications from discovery analysis of business needs and required technologies
• Strong skills in Power BI visuals as well as a command of the DAX language
• Strong R programming skills a plus for data manipulation and analysis
• Experience in R Shiny preferred
• Experience with data visualization tools (e.g. Power BI, Tableau, D3.js, R or R Shiny)
• Understanding of the drug development process is a plus
• Experience working with CROs and/ or Health Systems and scientific & clinical data/terminology is a plus
• Basic understanding of CDASH, CDISC, HL7 or FHIR standards is a plus
• Experience in preparing, correcting, modifying and analyzing data sets using complex analytic techniques
• Experience in using and understanding data models
• Strong development, version control and validation experience (prefer 21CFR Part 11 or ISO)
• Experience working with small teams of developers from project start to finish including managing scope and technical changes
• Experienced in mentoring others, both technical and non-technical, toward a better understanding of data science methodologies and results
• In-depth understanding of database structure principles

Requirements:

• Proficiency in problem-solving with an ability to meet with stakeholders to develop requirements and specifications from discovery analysis of business needs and required technologies
• Strong skills in Power BI visuals as well as a command of the DAX language
• Strong R programming skills a plus for data manipulation and analysis
• Experience with data visualization tools (e.g. Power BI, Tableau, D3.js, R or R Shiny)
• Experience in preparing, correcting, modifying and analyzing data sets using complex analytic techniques
• Experience in using and understanding data models
• Strong development, version control and validation experience (prefer 21CFR Part 11 or ISO)
• Experience working with small teams of developers from project start to finish including managing scope and technical changes
• Experienced in mentoring others, both technical and non-technical, toward a better understanding of data science methodologies and results
• In-depth understanding of database structure principles
• Bachelor's degree in life sciences, statistics, data engineering, computer science, or related field, or equivalent experience
• 2-5 years of experience in data engineering or a related discipline, preferably within clinical research or a CRO environment
• Intermediate proficiency in Power BI, DAX
• Experience in designing and managing BI systems, including dashboards, reporting pipelines, and data models
• Ability to interpret and visualize data to support reporting and decision-making
• Demonstrated ability to mentor team members and collaborate cross-functionally
• Strong analytical, organizational, and communication skills
• Experience in R Shiny preferred
• Understanding of the drug development process is a plus
• Experience working with CROs and/ or Health Systems and scientific & clinical data/terminology is a plus
• Basic understanding of CDASH, CDISC, HL7 or FHIR standards is a plus