Manager, Product Analytics

Hyderabad (Office)

Novartis

Working together, we can reimagine medicine to improve and extend people’s lives.

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Job Description Summary

Provide analytics support to Novartis internal customers on various high complexity analytical products. Bring in product 1st approach and strive towards taking product to success, thinking on overall product strategy, their roadmaps, KPI’s, success metrics etc. to derive maximum value out the product.

Education:
Bachelors/ Masters in computer sciences/ IT or other quantitative sciences


 

Job Description

Position Title: Manager – Product Analytics

Location: Hyderabad #LI Hybrid

About the role:

Provide analytics support to Novartis internal customers on various high complexity analytical products. Bring in product 1st approach and strive towards taking product to success, thinking on overall product strategy, their roadmaps, KPI’s, success metrics etc. to derive maximum value out the product.

Key Responsibilities:

  • Working knowledge of multiple datasets e.g. LAAD, Xponent, SMART etc. and managing and organizing data sets from databases to find patterns and trends in data.
  • Transforming these complex and granular data into actionable insights.
  • Putting together specifications to extract/transform data into required formats for different analytical elements using SQL/DSS or other data processing tools.
  • Require experience in quantitative analysis with a demonstrated focus in analytics, and experience with coding languages (SQL OR Python) to query and extract data. Also, experience with BI tools, working with very large data sets is a plus.
  • Create the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial.

Essential Requirements:

  • 5-7 years’ experience in a Global pharma company as data analyst, business analyst or product analysts
  • Bring deep business understanding of pharmaceutical industry and data standards with domain experience in at least one of the following areas – a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales
  • Have good knowledge of Statistical modeling, AL and ML and should have hands on experience with AI/ML projects
  • Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process
  • Ability to multi-task, work in a demanding global team environment, work under tight deadlines. Develop and maintain strong individual and team performance.
  • Hands-on experience of ETL and programming/scripting skills (SQL, Python, Snowflake, Databricks Or Dataiku) for data preparation and analysis

Why Novartis:  Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network.

Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.


 

Skills Desired

Agility, Analytical Thinking, Brand Awareness, Building Construction, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Marketing Strategy, Media Campaigns, Sales, Stakeholder Engagement, Stakeholder Management, Strategic Marketing, Waterfall Project Management
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Tags: Business Analytics Databricks ETL KPIs Machine Learning Pharma Python R R&D Snowflake SQL Statistical modeling Statistics

Region: Asia/Pacific
Country: India

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