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Thermo Fisher

Marketing Analyst II

Bangalore, India

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hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
6 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

  • As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a
  • positive impact on a global scale. Join our colleagues in bringing our Mission to life every
  • single day to enable our customers to make the world healthier, cleaner, and safer. We
  • provide our global teams with the resources needed to achieve individual career goals
  • while helping to take science a step beyond by developing solutions for some of the world’s
  • toughest challenges, like protecting the environment, making sure our food is safe or
  • helping find cures for cancer.
  • DESCRIPTION: Join our collaborative team as a Marketing Analyst III, where you'll support
  • data-driven decision-making and strategic marketing initiatives. In this role, you'll transform
  • complex data into actionable insights that contribute to business growth and customer
  • success. Working with advanced tools and technologies, you'll partner across teams to
  • help analyze marketing performance, optimize campaigns, and deliver strategic
  • recommendations that enhance our digital presence and customer experience.
  • RESPONSIBILITIES
  • Design and implement scalable data pipelines and transformation workflows to
  • curate marketing and customer data into analytics-ready datasets.
  • Collaborate with IT in maintaining Lakehouse / warehouse-style data models
  • (tables, views) that support marketing KPIs and downstream analytics use cases.
  • Create and optimize database schemas, tables, and views aligned to business
  • requirements and performance needs.
  • Implement data quality controls, monitoring systems, and automated testing
  • procedures to ensure data accuracy and metric consistency
  • Build and maintain data infrastructure using modern data stack practices, including
  • governance and secure access patterns as appropriate for analytics
  • Automate routine data operations and improve scalability by optimizing compute
  • patterns and transformations.
  • Collaborate with other analytics team members to ensure curated datasets support
  • ongoing analysis and advanced measurement initiatives, and create new ones as
  • needed
  • Support dashboard and reporting development by delivering report-ready datasets,
  • including cleansed/standardized tables for KPI monitoring
  • Contribute to KPI monitoring and insights workflows by ensuring reporting logic is
  • reproducible and consistent across teams/tools
  • REQUIREMENTS
  • Experience: 2-3 years in leveraging the required tools in a professional environment
  • (preferably marketing) or similar.
  • Databricks (Databricks SQL / Spark-based workflows; Delta Lake preferred),
  • Advanced SQL (complex transformations, performance optimization, analytical patterns), Python (data processing, automation, validation) or similar tools.
  • Experience with modern data engineering practices: data modeling, transformation frameworks, testing/monitoring, version control, and operationalization.
  • Proficiency with common reporting workflows and tools used for dashboards/KPI monitoring (e.g., Power BI or similar), and the ability to structure data for reporting
  • consumption.
  • Proven experience building and maintaining data assets that support analytics and reporting on a scale.
  • Experience with marketing analytics domains such as funnel performance, campaign measurement, and attribution-style metrics (as data requirements).
  • Familiarity with governance/catalog concepts (e.g., structured documentation and controlled access for sensitive datasets).
Original posting on Thermo Fisher's site ↗

Listed on hirly, a job board. hirly is not the employer: Thermo Fisher is hiring for this role.

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