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 industry-leading employee retention rate. The Business Intelligence Analyst will be responsible for developing requirements from stakeholder analysis, utilizing data visualization tools, and mentoring team members in 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