Lead Data Analyst

RELX; Oxford; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in information and analytics seeks a Lead Data Analyst to drive high-impact analytics initiatives. The role involves developing reporting on technology infrastructure, engaging with stakeholders to gather requirements, and managing analytics projects. Required qualifications include significant experience in data analytics, proficiency in data tools like Tableau, AWS, and Python, along with strong stakeholder communication skills.

Benefits

Annual Profit Share Bonus

Comprehensive Pension Plan

Generous vacation entitlement

Flexible working hours

Employee Assistance Program

Qualifications

• Significant experience in a lead role in data analytics or business intelligence.
• Experience with DBT, SQL, and Python for data analysis.
• Strong communication skills with stakeholders.

Responsibilities

• Develop and maintain reporting on multi-cloud infrastructure.
• Build and automate ETL pipelines using DBT and Python.
• Create Tableau dashboards providing actionable insights.

Skills

Data analysis

ETL processes

Data visualization

Stakeholder engagement

Education

Degree in a relevant field

Tools

Tableau

AWS

DBT

Python

SQL

Job description

Lead Data Analyst

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

Do you enjoy uncovering actionable insights from complex data?

About 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 Role:

You will develop and maintain reporting on Elsevier’s vast multi-cloud infrastructure estate and operational performance for senior stakeholders across the business. Engaging with stakeholders across Technology, you will gather analytics requirements and translate these 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 advanced data models for reporting, support the development of data pipelines and streamline data integration for analytics and reporting. You will work alongside other data analysts, data engineers, data architects and infrastructure architects in building reporting pipelines and implementing data quality standards and processes.

Key Responsibilities:

• Building and automating ETL pipelines using DBT and Python, and data integration leveraging AWS services such as Lambda, S3, Athena

• Designing and implementing dimensional data models for analytics and reporting

• Creating Tableau dashboards, reports and data visualizations which provide clear and actionable insights for operations teams and senior stakeholders

• Analysing large operational datasets with a focus on data integrity and accuracy

• 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 analytics reports across the full analytics lifecycle including discovery, iterative development, testing, deployment, maintenance and end user support

• Mentoring and coaching other team members on ETL and data modelling

Requirements:

• Significant experience in a lead role in data analytics, business intelligence or analytics engineering

• Experience with DBT, SQL, Snowflake / other relational databases and dimensional data modelling

• Experience with Python for data analysis, ETL and automation

• Experience working with large and complex data sets, data profiling and cleansing

• Dashboard development and data visualisation experience using Tableau, presenting data insights clearly and persuasively

• Experience with AWS, in particular, Lambda, S3, Athena, or equivalent cloud technologies

• Experience with Git

• Strong written and verbal communication skills and experience engaging effectively with technical and non-technical stakeholders at all levels

• Demonstrate curiosity and a structured and analytical approach to problem-solving

• Attention to detail with a keen eye for effective dashboard design, data quality and accuracy

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 organization. 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 interactive 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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Elsevier is 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. 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: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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