Senior Data Analyst

RELX; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A global information and analytics leader is seeking a Senior Data Analyst to manage the analytics lifecycle and provide data insights. This role involves developing dashboards, automating ETL pipelines, and utilizing AI tools for reporting. The ideal candidate has significant experience in data analytics, proficiency in Tableau, and AWS experience. Flexible working hours and comprehensive benefits are offered.

Benefits

Annual Profit Share Bonus

Comprehensive Pension Plan

Generous vacation holiday entitlements

Flexible working hours

Employee Assistance Program

Qualifications

• Significant experience in data analytics or analytics engineering.
• Experience in developing dashboards with Tableau.
• Proficient in SQL and experience with relational databases.

Responsibilities

• Develop Tableau dashboards and data visualisations.
• Collaborate with data engineers for analytics support.
• Build and automate ETL pipelines using DBT and Python.

Skills

Data analytics expertise

Dashboards development using Tableau

SQL proficiency

Experience with Python

Use of GenAI tools

Experience with AWS

Git source control

Strong communication skills

Tools

Tableau

AWS (Including Lambda, S3, Athena)

DBT

Snowflake

Job description

Overview

Senior Data Analyst

Are you enthusiastic about leading high-impact analytics initiatives in technology infrastructure?

Do you enjoy uncovering actionable insights from complex data?

About The Team

The Analytics and Insights team in the Technology Infrastructure and Operations function develops high-quality management reporting about Elsevier’s technology infrastructure and operational performance. The team works with operations and infrastructure colleagues, senior management and teams across Technology and the wider business to deliver robust insights about Elsevier’s technology estate. The team also leads data governance initiatives across TIO to build robust data management practices across the breadth of our infrastructure and operational data.

About The Role

As a full-stack data analyst, you will manage the analytics lifecycle from requirements analysis and stakeholder engagement to ETL, analysis and data visualisation. You will provide data and analytics support across various technology improvement initiatives and make a real impact through developing reporting on Elsevier’s vast multi-cloud infrastructure estate and operational performance.

Engaging with stakeholders across Elsevier Technology, you will translate analytics requirements into compelling dashboards and reports on how we best manage our AWS resources, software assets and other areas of operational performance and compliance. You will build data models for reporting, support the development of data pipelines and streamline data integration for analytics. You will elevate our reporting and analytics capabilities by experimenting with and leveraging AI tools to enhance the data analysis and insights delivery process.

Key Responsibilities

• Developing Tableau dashboards, reports and data visualisations that translate complex operational data into meaningful insights
• Collaborating with data engineers and architects to build data sets to support analytics and reporting
• Experimenting with emerging AI solutions and implementing innovative approaches for streamlining analytics workflows
• Building and automating ETL pipelines using DBT and Python, and data integration leveraging AWS services such as Lambda, S3, Athena
• Leading analytics projects independently, taking ownership of initiatives and delivering insights and analytical solutions supporting strategic data initiatives
• Collaborating with business stakeholders and cross-functional project teams to establish reporting requirements
• Managing the full analytics lifecycle, including discovery, iterative development, testing, deployment and stakeholder engagement and support

Requirements

• Significant experience in data analytics, business intelligence or analytics engineering
• Dashboard development and data visualisation experience using Tableau, presenting data insights clearly and persuasively
• Experience with SQL, DBT, Snowflake / other relational databases
• Experience with Python for data analysis, ETL and automation
• Experience with GenAI tools such as GitHub Copilot and a keen interest in the potential of AI and its application to analytics
• Experience with AWS, in particular Lambda, S3, Athena, or equivalent cloud technologies
• Experience with Git source control
• Strong written and verbal communication skills and experience engaging effectively with technical and non-technical stakeholders at all levels
• Attention to detail with a keen eye for effective dashboard design, data quality and accuracy
• Demonstrate curiosity and a structured and analytical approach to problem-solving

Why Join Us?

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your 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

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Annual Profit Share Bonus
• Comprehensive Pension Plan
• Generous vacation entitlement and option for sabbatical leave
• Maternity, Paternity, Adoption and Family Care leave
• Flexible working hours
• Internal communities and networks
• Various employee discounts
• Recruitment introduction reward
• Employee Assistance Program (global)
• Annual Event

About the Business

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 interactiv e learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

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