Job Description:
Sr. Consultant Patient Analytics will be responsible for making objective customer-focused and data-driven decisions by providing analytical insight, actionable data, and recommendations. You would also be responsible for projects, providing analytics support, and serving in a consultative capacity to deliver value-added descriptive analytics solutions for large scale pharma projects
Position Purpose:
- Responsible for proposing, implementing and developing solutions using Real World Data to cater US commercial needs
- Work with the client facing teams to develop the proposal by evaluating client asks, data feasibility and high-level methodology of implementation
- Work independently (IC) and/or manage a small team
- Work efficiently with data, analytical and presentation tools such as PL SQL, SAS, R
- Analyze and present the analysis findings in a client-ready format
- Mentor junior team members and help their project/deliverables
- Understand and refine or develop methodologies using patient level data analytics to cater pharmaceutical commercial solutions
What your day would look like :
- Brainstorming with onshore team and end clients to understand business requirements and provide technical solutions for complex client specifications
- Designing methodology and solutions for key business asks
Advanced analysis using large volume of sales, patient level datasets such as :
- APLD datasets
- EMR/Clinical/Laboratory test data
- Claims data
- MIDAS data
- Working on advanced analytics in the pharma domain throughout the drug life cycle, and patient journey
- Line of Therapy, Persistency Analysis, Compliance, Adherence
- Source of Business
- Competitor analysis
- HCP analysis (new therapy initiator)
- Tigger analysis (conditions triggering usage of a product in a therapeutic area)
- Use of excel, PowerPoint, SQL, R or Python and visualization tools to represent actionable insights
- Integration of technical knowledge with business goals and strategy to achieve insights for end clients
- Act as an advocate for client needs, putting yourself in their shoes to ideate on ways to enhance business value for the client
Skills, Role, and Responsibilities :
- Strong analytical ability, attention to detail and problem-solving ability with demonstrated hands-on work experience in data analytics
- Great understanding of US healthcare system, data assets (Claims) and commercial operations of a pharmaceutical company
- Support development and analytics activities using PL SQL & SAS technologies
- Excellent written and verbal communication skills including presentations
- Excellent interpersonal skills and ability to work effectively with others in and across the organization to accomplish project/team goals
- Knowledge of project management tools and techniques desirable
- Hands-on knowledge on IQVIA (IMS) datasets such LRx & DX Claims, Xponent, DDD, Hospital data, etc.
- Adaptability and an ability to learn quickly and apply new knowledge
- Timely delivery of all the projects/activities with utmost quality output
- Proven ability to manage and prioritize multiple, diverse projects simultaneously
- Proper documentation of all the project related activities
- Managing processes independently and/or manage small team
Education & Experience:
- Bachelor or master's degree in Pharma / B. Tech / MBA / MCA
- 6-8 years of relevant experience in Healthcare Analytics (overall up to 14 years)
Tools, Technology & Data:
- Strong working experience on Oracle/PL SQL
- Hand on knowledge on Base SAS
- Must have advanced MS Office skills
- Must have pharmaceutical data knowledge which are widely used in industry
Good to have:
- Familiar with pharmaceutical domain, concepts, and terminologies, understanding of broader healthcare market dynamics (broad themes/latest trends in the pharma industry etc.)
- Having UNIX, Shell script, SAS, Python knowledge is added advantage
- Must be flexible, independent, and self-motivated
Additional Requirements:
- Flexibility (should be ready to stretch whenever there is an increased work load or decreased capacity)
- Good level of attention to detail
- Good interpersonal skills (should have good listening skills, patience and handle situations in a calm and composed way)
- Good team player (should be ready to share the work among the team members and help the team meet deadlines)
What's in it for you:
- Impacting change at scale for leading global pharma clients
- Exposure to multiple analytics domains including patient analytics, advanced analytics, profiling etc.
- Working on exciting new ways of deriving insights from large data sets
- Working in a highly dynamic environment with exposure to learning across analytics domains and technology (including AI/ML!)
- Autonomy and ownership of your workstream and engagement including a chance to lead your own team/(s)
- Opportunity to grow project and accounts by building new tools/service lines/capabilities by working with senior leaders globally
- Significant opportunities to grow as a part of a global analytics organization
- Opportunity to travel internationally on a need basis
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