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Analytics Development Lead

Full-Time Bengaluru, India
Health & Biotech
Health & Biotech
02 April 2024
  • Contribute to the development of analytics strategy & architecture in partnering with tech leads and R&D control tower owners. Thinking forward to design for the future (2-3 years+) technology and analytical needs of the group in addition to those of today.
  • Own the delivery of the fit for purpose architecture and processes supporting DDAP - Analytics vision.
  • Develop solution blueprint and architecture specification for evolving business processes in PPM.
  • Develop structured partnership with analytics consumers, analytics managers, tech leads and R&D control towers to bring alignment across analytics development process and consistency in reporting.
  • Building technology-based solutions which are optimised to workflows. Analyse and codify the analytical requirements; identify and analyse alternative solutions and develop project charters. Run experts design forum to drive key decisions related to analytics systems and processes.
  • Work closely with stakeholders in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management through negotiation and agreement.
  • Designs user centric dashboards to enable analytics to be available at the point of decision.
  • Directly performs ad hoc analysis; as required, for the PPM personas, including, but not limited to descriptive & predictive analytics.
  • Designs, builds, and operates data tools, services, workflows, etc that deliver high value through the solution to key business problems by leveraging modern data engineering & analytics tools.
  • Produces well-engineered analytics solutions including appropriate automated test suites, technical documentation, and operational strategy.
  • Bachelor’s degree in computer science, Life Science, Software Engineering, Maths, Bioinformatics or related discipline
  • Experience in Pharma R&D
  • 10+ years of experience with Data Analytics with cloud infrastructure product development or management.
  • Experience with SQL and database technologies (e.g., SQL Server, Databricks – Azure data platform). with ETL processes and Data warehousing. Azure data pipeline development and management
  • Proficiency in using Power BI Desktop for creating data models, reports, and dashboards.
    • Knowledge of Power Query for data transformation and cleansing.
    • Familiarity with DAX (Data Analysis Expressions) for creating calculated columns, measures, and calculated tables."
  • Data Modelling
    • Strong understanding of data modeling concepts, including star schema, snowflake schema, and normalization.
    • Ability to design efficient and scalable data models for optimal performance.
    • Experience in creating relationships between tables and defining hierarchies."
  • Deep knowledge of modern analytics development tools / ways of working (e.g. git/GitHub, Docker, DevOps tools, metrics / monitoring, CI/CD…)
  • Familiar with metadata management and data governance concept
  • Strong analytical and problem-solving skills, with the ability to make data-driven development decisions.
  • Excellent communication, collaboration, and stakeholder management skills
  • Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
  • Experience in Spotfire, Python, databricks and data science modelling is plus


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