Senior Data Analyst III

Reposted 3 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
The Role
As a Senior Data Analyst, you'll design and maintain data models, transform operational data, and support analytics across multi-cloud infrastructure, ensuring data quality and leading analytics projects.
Summary Generated by Built In

Senior Data Analyst III

Do you like working with data and analytics to gain insight to solve problems?

Do you enjoy collaborating across teams to build and deliver products that make a difference?

About the Team:

Help shape the future of Elsevier’s technology infrastructure by bringing our operational data to life.

The Analytics and Insights team within Technology Infrastructure and Operations (TIO) delivers actionable reporting and insights on Elsevier’s technology infrastructure and operational performance. We support technology operations and infrastructure teams, Technology leadership, and wider business stakeholders with analytics on Elsevier’s technology estate, including our multi-cloud environment.

About the Role:

As a Senior Data Analyst, you will design, build, and maintain scalable, well-governed data models that power analytics and reporting across Elsevier’s IT and multi-cloud infrastructure estate.

You will operate at the intersection of analytics and data engineering, transforming raw operational data into trusted, analytics-ready datasets. Reporting areas include cloud efficiency (for example, AWS resource usage and optimization), software asset insights, and other operational performance metrics. You will develop and maintain data models using dbt to provide transparency and clarity into business metrics. You will own the transformation layer, primarily using dbt and Snowflake, applying software engineering principles to analytics development.

Responsibilities:

  • Design, build, and maintain scalable, modular data models using dbt to support analytics and reporting across Technology Infrastructure and Operations

  • Translate business and reporting requirements into robust, reusable data models with clearly defined metrics and logic

  • Implement data transformation best practices, including testing, documentation, version control

  • Collaborate closely with data engineers to ensure reliable ingestion, schema evolution, and data quality controls

  • Partner with analysts to enable high-quality dashboarding through well-structured, analytics-ready datasets

  • Perform data profiling, validation, and root cause analysis to improve data quality and reliability

  • Lead analytics initiatives end-to-end: discovery, requirements, iterative development, validation, release, maintenance, and user support

  • Lead technical design discussions and contribute to architectural decisions in the analytics stack

Requirements:

  • Significant experience in analytics engineering, data transformation, or modern BI engineering roles

  • Advanced SQL expertise, including performance optimization and complex transformation logic

  • Experience building and maintaining data models using dbt in production environments

  • Python for data processing and automation

  • Experience working with cloud data warehouses, preferably Snowflake

  • Strong understanding of dimensional modelling, semantic layers, and metric standardization

  • Experience with AWS or equivalent cloud technologies

  • Strong stakeholder engagement skills, with the ability to translate business requirements into technical data models

  • Experience implementing data testing frameworks and maintaining high data quality standards

  • Clear written documentation skills, particularly for metric definitions logic, and lineage

  • Experience with Tableau or Power BI

Work in a way that works for you: -

We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you: -

At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Group Health Insurance Policy (covering self and family)

  • Group Life insurance/accident policy

  • Generous long-service awards

  • New Baby gift

  • Subsidized food provided (applies to India- Chennai)

  • Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave

  • Free Transport provided to and from the office (applies to India-Chennai)

About Us: -

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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EEO Know Your Rights.

Skills Required

  • Significant experience in analytics engineering, data transformation, or modern BI engineering roles
  • Advanced SQL expertise, including performance optimization and complex transformation logic
  • Experience building and maintaining data models using dbt in production environments
  • Python for data processing and automation
  • Experience working with cloud data warehouses, preferably Snowflake
  • Strong understanding of dimensional modelling, semantic layers, and metric standardization
  • Experience with AWS or equivalent cloud technologies
  • Strong stakeholder engagement skills, with the ability to translate business requirements into technical data models
  • Experience implementing data testing frameworks and maintaining high data quality standards
  • Clear written documentation skills, particularly for metric definitions logic, and lineage
  • Experience with Tableau or Power BI
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The Company
0 Employees
Year Founded: 1880

What We Do

Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care. Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.

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