Lead Data Analyst

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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:

Designing and implementing dimensional data models for analytics and reporting

Creating Tableau dashboards, reports and data visualisations 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

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

Mentoring and coaching other team members on visualisation skills, dashboard creation, ETL and data modelling.

Requirements:

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

Significant experience in dashboard development and data visualisation experience using Tableau, presenting data insights clearly and persuasively

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

Experience with DBT is desirable.

Experience with Python for data analysis, ETL and automation.

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

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 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

Generous vacation entitlement and option for sabbatical leave

Maternity, Paternity, Adoption and Family Care leave

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