Associate/Sr Associate (Pharma Commercial Analytics- Targeting, Segmentation, IC)

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! 

Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA.

Job Description

About EVERSANA

® EVERSANA® is the leading provider of global commercial services to the life sciences industry. Our integrated solutions are rooted in the patient experience and span all stages of the product life cycle to deliver long-term, sustainable value for patients, prescribers, channel partners and payers. We serve more than 670 organizations, including innovative start-ups and established pharmaceutical companies to advance life science solutions for a healthier world. Fueled by a vision to advance life science services toward a healthier world for all, we put equal weight on how we partner with our clients to improve the lives of patients. How we operate is grounded in our eight cultural beliefs – shared by more than 6,000 employees around the world.

About the Department Data & Analytics is a team of 70+ highly skilled IT and Business professionals located across various locations of India including Bangalore, Pune and Gurgaon. The main role of the department is to analyse pharma data of varied nature to support organisation in providing best-in-class analytics based commercial solutions to our life science industry clients. Data & Analytics is an integral part of EVERSANA® India and is responsible for driving and delivering such commercialization projects.

About the Role

• We are looking for dynamic people for our Data and Analytics team to participate in end-to-end commercialization projects covering pre-launch, launch and post launch activities.

• The candidate will be responsible for applying advanced analytics techniques to extract actionable insights.

• As part of their role, they need to assess effective ways of presenting and delivering the results to communicate relevant analytical information to internal stakeholders.

• The candidate’s main responsibility will be to execute and collaborate with both clients and fellow team members to identify and implement solutions. These solutions will cover workstreams like patient cohort creation, HCP list generation, targeting & segmentation, call planning, sizing, territory alignment, reporting and dashboarding, Incentive compensation, ad-hoc analysis. Location & Commitments

• Full-time • Role at Bengaluru or Pune

• Hybrid with atleast 3 days’ work from office every week

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:

• Bachelor degree in relevant fields such as or bachelor’s in engineering or computer science. Master’s degree in Pharma, data analytics or Business Administration is good to have.

• 2-5 years of experience in healthcare analytics and working with large datasets (Commercial data like Specialty Pharmacy, HUB, 867 shipment, 852 EDI data, open & closed-claims, affiliations, VEEVA CRM, digital marketing datasets).

Qualifications

• 2-5 years of experience working with healthcare concepts like targeting, affiliation, call planning, segmentation, Patient data analytics, Incentive Compensation, Tableau Reporting, ML model development & deployment

• Knowledge of US pharma data sets is a must.

• Proficiency in the following programming and analysis tools:

• Expertise SQL is a must

• Advanced Excel is a must

• Python is a must

• Visualization tools (Tableau or PowerBI) is a must

• Machine Learning modeling is good to have

• Microsoft Powerpoint

• Strong problem solving, quantitative and analytical abilities.

• Excellent communication and collaboration skills.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.

From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.

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