Global Customer Insights Manager

Category:  Marketing and Market Access
Location: 

Bangalore, Karnataka, IN

   

Are you passionate about analysing patient and HCP level data and translating those into business insights? Can you lead BI projects, and do you want to be part of building and improving our analytical environment in the cloud? Would you like to collaborate across analytical teams in Novo Nordisk? If you have solid experience working with big data analysis and visualisation, preferably from the pharmaceutical industry, we are looking for a person like you as our new Global Customer Insights Manager.

 

 

About the department

 

The Commercial & Corporate Affairs – Global Business Services (GBS) unit is responsible for driving deliverables for multiple Corporate Vice President (CVP) areas within Commercial & Corporate Affairs, including Insulin, GLP-1 and Obesity Marketing, Market Access, Commercial Planning and Commercial Operations. The Commercial & Corporate Affairs unit also supports BioPharma global marketing for Haemophilia and growth disorders. In Obesity Commercial Unit, we are focused on changing the way obesity is viewed and treated today, as well as increasing number of people who receive innovative treatments and quality care.  In addition to driving innovative market development and communication efforts, the unit is responsible for the global commercialization and optimization of Saxenda® and Obesity & NASH pipelines.

We conduct anonymised patient data analysis and drive analytical projects and processes to support brand teams, new product planning teams and senior management in strategic decision making. In joining us, you will have the opportunity to become part of an international, high performing team responsible for generating customer insights on physicians and patients and translating these into impactful recommendations.

 

 

The position

 

As a Global Customer Insights Manager, you will drive analysis in longitudinal patient level databases which contain billions of records, using SAS/SQL, R, Python or similar programming tools. From the patient level analysis, you will generate insights and lead projects that provide strategic and tactical recommendations for key brands in diabetes, obesity, CVD as well as other therapeutic areas with a specific process responsibility for Visualization of LRx data available in-Patient Data Warehouse (PADAWA), building out new analyses on the patient data visualization platform.

 

You will be responsible for supporting the development of Business Intelligence platform in SAS, integrating, and aligning data from various data sets to facilitate strong analytical capabilities for the team. You will be supporting situational analysis process for prioritized products, which feeds into the brand strategy process by ensuring efficiency and drive optimisation of global insights and analytics project execution – including visualization of data.

 

Provide and engage in robust decision-making support to Brands and Management by providing recommendations for management strategic decision making, based on analysis and impactful communication of insights derived from secondary data – and collaborate with department colleagues to integrate primary data insights in analyses. You will support and optimize key processes in the department, such as Situational Analysis (SiTA) and brand partner meetings as well as being a key driver of the PADAWA data visualization platform development

 

You will establish and maintain business partnership with key stakeholders which involves interaction with key brands, affiliates/regions, and management in support of decision-making and strategy development at brand, portfolio, and corporate level, to ensure alignment and successful attainment of common targets.

 

Finally, you are highly motivated to work in a small team that covers multiple functions (from data governance to data visualisation and presentation). The role requires a combination of strong analytical, programming and project management skills.

 

 

Qualifications

 

Master’s in Computational Science and Mathematics, statistics, finance, or relevant natural science background with 3+ years of relevant experience in Patient Data Analytics is must. Along with Advanced level knowledge of Excel, PowerPoint with good programming and data management skills (preferably SAS, SQL, but R, Python also relevant), along with exposure in working with Global stakeholders. Working knowledge on LRx(Longitudinal Prescription Data), APLD(Anonymised Patient Level Data), LAAD (Longitudinal Access & Adjudication Data) patient datasets by IQVIA, SHI, SHS etc. is required.

 

Experience of developing analysis based on patient level datasets such as Source of Business (SoB), Persistency & Staytime, patient flow/journey, Line of therapy analysis, Switch rate analysis etc. is preferred.

 

Exposure to data Visualisation platforms like Qlik sense, Tableau, Power BI would be an added advantage.

 

 

Working at Novo Nordisk

 

At Novo Nordisk, your skills, dedication, and ambition help us change lives for the better. In exchange, we offer you an opportunity to work with extraordinary talent and benefit from a range of possibilities for professional and personal development. We create value by putting patients first. Working here is not just a way to make a living, but a way to make a difference.

 

Contact

 

To submit your application, please upload your CV online (click on Apply and follow the instructions). 

 

Deadline

 

30th June 2022

 

 

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. 

 

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.