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Sr Analytics & Insights Manager (Data Engineering)

Sr Analytics & Insights Manager (Data Engineering)

ConfidentialDelhi, India
8 days ago
Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.

Healthcare is evolving, and Global Procurement (GP) is responding by continuously striving for the highest possible performance, taking innovative and strategic approaches to business and supplier partnerships. Global Procurement proactively manages the entire supplier ecosystem, making a vital contribution to improving health outcomes, reducing costs for patients and global healthcare systems, and ensuring that Roche continues doing now what patients need next.

The Opportunity :

This role sits within the Enablement Chapter where we drive operational and financial effectiveness in Global Procurement by advancing talent growth and development, delivering actionable insights, fostering high engagement, and ensuring robust performance management. Our team is dedicated to enabling better outcomes and providing comprehensive support to GP leadership and chapters.

As a Senior Analytics & Insights Manager (Data Engineering) in A&I Data Solutions, you will bring structured thinking, facilitation, execution, and focus to procurement enabling and functional capabilities such as analytics, operations, governance, and strategic projects. The role will lead data engineering efforts in Global Procurement, streamlining data systems and analytics to boost operational efficiency. Using your specialized knowledge and in-depth expertise in data engineering and general procurement, you will proactively identify and drive strategies and approaches that positively impact capability and functional goals.

You will collaborate with internal procurement, finance, and other relevant colleagues to align on needs and opportunity identification to develop, enhance, or deploy functional enabling services and solutions that increase procurement&aposs effectiveness and efficiency.

You will work closely with other team members, either as a peer coach, project or workstream lead, or team lead to embed best practices and deploy services, solutions, and frameworks to the broader procurement function.

As a Senior Analytics & Insights Manager (Data Engineering), you will play a variety of roles according to your experience, knowledge, and general business / team requirements, including but not limited to :

Responsibilities include :

  • Managing the transition of procurement data sources between databases (e.g. Snowflake) while ensuring data integrity
  • Facilitating the integration of diverse procurement data systems and managing data pipelines in Snowflake to streamline data availability and accessibility
  • Developing and optimizing sophisticated SQL queries for data manipulation, transformation, and reporting tasks
  • Managing and maintaining complex data mappings to ensure accuracy and reliability
  • Collaborating seamlessly with key stakeholders across the procurement function to gather data requirements
  • Addressing data-related issues with advanced troubleshooting techniques
  • Leveraging GitLab and other orchestration tools for version control and collaboration with key stakeholders, ensuring best practices in code management and CI / CD automation

Who you are :

  • You hold a university degree in Computer Science, Information Systems, or related disciplines
  • You have 5-7 years of work experience with at least 3 years of experience in data engineering
  • You have procurement analytics experience (preferred)
  • You have hands-on experience with Snowflake environments
  • You are proficient in ETL / ELT technologies, DataOps and tools such as Talend / dbt / GitLab
  • You have expertise in SQL and preferably Python for database querying and data transformation
  • You have knowledge of cloud-based data solutions and infrastructure
  • You have an understanding of data mapping and data quality management (preferred)
  • You have experience with Git for version control and GitLab for CI / CD automation (not required but advantageous)
  • You are experienced with workflow automation tools such as Automate Now or Airflow (preferred)
  • You demonstrate curiosity, active listening, and a willingness to experiment and test new ideas when appropriate, with the focus very much on continuous learning and improvement
  • You are open-minded and inclusive, generously sharing ideas and knowledge, while being receptive to ideas and feedback from others
  • You are fluent in English to a Business level
  • Join our team and enable the strong capability expertise needed to meet the evolving needs of our customers.

    Who we are

    A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

    Let's build a healthier future, together.

    Roche is an Equal Opportunity Employer.

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    Skills Required

    data engineering , Airflow, Data Mapping, Sql, ELT, snowflake , dbt, Gitlab, Talend, Python, Etl

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