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Lead Data Analyst

RELX

London

On-site

GBP 55,000 - 85,000

Full time

12 days ago

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Job summary

Join a leading company in information and analytics as a Senior Data Analyst with a focus on high-impact analytics within technology infrastructure. You will lead the development of reporting and dashboards, utilizing advanced data modeling and visualization techniques with tools like Tableau and AWS services. This role requires a keen analytical mind to derive actionable insights from large datasets to drive business strategies and improve operational performance. The company promotes a collaborative and innovative environment, offering extensive career growth opportunities and a healthy work/life balance.

Benefits

Annual Profit Share Bonus
Generous vacation entitlement
Maternity, Paternity, Adoption leave
Employee Assistance Program
Flexible working hours

Qualifications

  • Significant experience in a lead data analytics role.
  • Experience with advanced data modeling and ETL processes.
  • Experience with AWS services and data visualization tools.

Responsibilities

  • Develop reports and dashboards for operational performance.
  • Build ETL pipelines for data integration.
  • Collaborate with stakeholders to define reporting needs.

Skills

Data analysis
Data visualization
Problem-solving
Python
AWS
SQL

Education

Bachelor's degree in Data Science or related field

Tools

Tableau
DBT
Snowflake

Job description

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

Generous vacation entitlement and option for sabbatical leave

Maternity, Paternity, Adoption and Family Care leave

Internal communities and networks

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.

RELX is a British multinational information and analytics company headquartered in London, England.

Notice

Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000.

Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.

An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report . NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000.

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