Senior Data Analyst I

relx; Bengaluru; On-site; INR 1,500,000 - 2,600,000; Full time

Benefits offered by this job

Group Health Insurance Policy (coverin

Group Life insurance/accident policy

Generous long-service awards

New Baby gift

Subsidised food provided (applies to 2

Job summary

Elsevier is seeking a Senior Data Analyst-I to independently drive advanced analytics using Databricks, Snowflake, SQL, and Python. You will collaborate with Product Owners and Data Scientists to analyse large datasets, derive insights, assess data quality, and help evolve data products across domains.

The role emphasizes strong English communication with stakeholders worldwide and cross‑functional teamwork within the Content and Data Analytics group of DataOps in Global Operations.

Qualifications

• Experience turning business needs into analytic requirements.
• Ability to deliver reliable insights with clear storytelling.
• Strong collaboration with product owners and data scientists.

Responsibilities

• Deliver complex analytics using Databricks, Snowflake, SQL, Python.
• Partner with Product Owners and Data Scientists to analyse large datasets.
• Assess data quality and support data product improvements.
• Communicate findings to stakeholders across teams.

Skills

Business & Requirements Analysis

Delivery Focus

Collaboration

Communication

Tools

Databricks

Snowflake

SQL

Python

Job description

Senior Data Analyst-I

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 Our Team

The Content and Data Analytics team is part of DataOps within Global Operations at Elsevier. We provide analytics services primarily using Databricks, supporting Product Owners, Product Managers, Data Scientists, and Research Data Platform domain teams. Our work contributes to Elsevier products including Scopus and SciVal.

About the Role

As a Senior Data Analyst , you will independently deliver complex analytical activities using Databricks, Snowflake, SQL, Python, and related technologies. You will work with Product Owners and other stakeholders to analyse large datasets, create advanced-level insights and recommendations, assess data and product quality, and support the development and improvement of data products.

Responsibilities

The Senior Data Analyst role will support Product Owners or Data Scientists working within the domains of the Research Data Platform.

Domains are functional units responsible for delivering one or more data products, often through data science algorithms.

The role may involve a wide range of analytical activities, including analysing large datasets to answer questions from Product Owners or Data Scientists.

The role may also include large-scale data preparation to test hypotheses, support prototypes, and review the precision and recall of data science algorithms at scale.

Candidates should have a keen eye for detail, strong analytical skills, and expertise in at least one data analysis system, along with curiosity and a commitment to high‑quality work.

Since the role requires communication with stakeholders across the world, candidates should demonstrate a high level of English proficiency.

Stakeholder Management

• Build and maintain strong relationships with Product Managers and Data Scientists.
• Align activities with Product Managers and Data Scientists.
• Present achievements and project status updates, both in writing and verbally, to various stakeholders.

Competency

• Business & Requirements Analysis: Elicits, structures and documents requirements to support effective delivery.
• Delivery Focus: Supports teams to move from intent to implementation through clear, high‑quality delivery artefacts.
• Collaboration: Works effectively with product, engineering and governance stakeholders.
• Communication: Clearly explains requirements, analysis and delivery implications to technical and non‑technical audiences.

Key Results

• Understand the requirements of a given task
• Identify, gather, prepare, and refine data
• Interpret and analyse large datasets
• Report findings to stakeholders through effective storytelling
• Formulate recommendations and requirements
• Identify and address new opportunities

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

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
• Subsidised food provided (applies to India- Chennai)
• Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Le