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Marketing Analyst II

Bangalore, Karnātaka, India

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Apply at Thermo Fisher Scientific

Tools in this posting

  • Python
  • SQL
  • Databricks
  • Delta
  • Spark
  • Power BI
Source — Tool mentions in context
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).

Job description

View original 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).

Your next step

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  • Ask the employer about the salary range before committing time to the process.

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Pay

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Location & working pattern

Bangalore, Karnātaka, India

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Status in our records
Active
First seen by us
Oct 6, 2026
Recorded sightings
14
Last seen by us
Oct 10, 2026

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