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Data Analytics Engineer (Marketing)

Thermo Fisher

Data Analytics Engineer (Marketing)

Thermo Fisher

Bangalore, India

·

On-site

·

Full-time

·

2w ago

Required Skills

SQL

Python

Data Engineering

Analytics

ETL/ELT

Data Modeling

Machine Learning

Band 6 – Data Analytics Engineer (Marketing)

Work Schedule

  • Standard (Mon-Fri)

Environmental Conditions

  • Office

About the Role

As part of the Thermo Fisher Scientific team, you'll do meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life—enabling customers to make the world healthier, cleaner, and safer.

We are seeking an Analytics Engineer to manage and evolve the data foundations powering the LSG Search (SEO + SEM) and cross-channel marketing analytics. This role handles massive volumes of marketing and customer data to unlock performance insights at scale.

Sitting at the intersection of data engineering and analytics, this position focuses on transforming diverse marketing data sources into reliable, automated, and performance-optimized datasets within Big Query. You will lead complex data initiatives, architect scalable pipelines, apply advanced analytical techniques, and convert complex, open-ended business questions into clear, actionable insights for marketing channel managers and business partners.

Responsibilities

  • Lead hands-on development of API integrations, Python-based ETL data pipelines, and analytics workflows across platforms such as Google Ads, Bing Ads, Adobe Analytics, STAT, Botify, GSC and SEMRush to enable reliable marketing data access
  • Write production-quality SQL against large datasets and contribute to version-controlled analytics workflows using GitLab/GitHub
  • Develop and maintain advanced analytical models, forecasts, and attribution frameworks, applying techniques such as time-series analysis, causal inference, experimentation, and machine learning to marketing and customer behavior problems
  • Build and maintain Looker dashboards, Adobe workspaces, automated reports, and ad hoc analyses to surface keyword opportunities, evaluate channel performance, and guide spend and investment decisions
  • Partner with marketing stakeholders to translate ambiguous business questions into well-defined analytical solutions, clearly communicating insights to both technical and non-technical audiences
  • Provide informal mentorship and technical guidance to junior analysts and engineers, encouraging teamwork and technical excellence
  • Deliver technical documentation and code reviews to uphold data team standards and maintain knowledge continuity
  • Continuously identify opportunities to improve data quality, analytics workflows, and reporting efficiency, leveraging AI, automation, and traditional optimization methods

Requirements

  • Bachelor's Degree plus 4+ years of experience in marketing analytics, data engineering, applied data science, or a related field
  • Expertise in ETL/ELT tools, data warehousing, and cloud-native platforms such as Databricks, Snowflake, or Big Query
  • Deep understanding of data modeling, metadata management, and data governance frameworks
  • Demonstrated hands-on experience developing analytical or machine learning models and applying data science techniques to real-world marketing or business problems
  • Strong technical proficiency in SQL and Python or R, with experience working in large cloud data warehouse environments
  • Working knowledge of causal inference, experimentation, time-series analysis, and forecasting methodologies
  • Solid understanding of digital marketing fundamentals and metrics, including CPA, ROAS, CVR, attribution, segmentation, and channel performance
  • Experience working with marketing analytics and BI tools (e.g., Adobe Analytics, Google Analytics, Power BI, Looker)
  • Strong organizational skills with a proven ability to manage multiple priorities in a collaborative, team-oriented environment

Preferred Experience

  • Experience with BI tools, GitLab/GitHub-based analytics workflows, and modern analytics engineering practices
  • Exposure to marketing automation platforms, experimentation frameworks, or advanced analytics tooling

Knowledge, Skills, Abilities

  • Proactively create solutions as opportunities are identified
  • Fluency in English; additional language skills are a plus
  • Excellent written and oral communication skills, including ability to communicate across business areas and with executive leadership

About Thermo Fisher Scientific

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of more than $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them.

Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.

Equal Opportunity Statement

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Thermo Fisher Scientific is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status, age or disability status.

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About Thermo Fisher

Thermo Fisher

Thermo Fisher Scientific Inc. is an American life science and clinical research company. It is a global supplier of analytical instruments, clinical development solutions, specialty diagnostics, laboratory, pharmaceutical and biotechnology services.

10,001+

Employees

Waltham

Headquarters

Reviews

3.9

2 reviews

Work Life Balance

3.5

Compensation

2.5

Culture

3.5

Career

4.0

Management

3.0

65%

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Pros

Large company with extensive resources

Structured internship program

Career opportunities in product management

Cons

Low compensation ($22/hour)

High cost of living in location

Expensive housing/rent

Salary Ranges

2,260 data points

Mid/L4

Mid/L4 · Adobe Analytics Launch Developer

1 reports

$137,796

total / year

Base

$105,997

Stock

-

Bonus

-

$137,796

$137,796

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

12%

Experience

Positive 12%

Neutral 63%

Negative 25%

Interview Process

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Panel Interview

5

Final Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit

Industry Specific