Data Analyst

Springer Nature; Lisboa; Híbrido; EUR 42 000 - 64 000; Tempo integral

Resumo da oferta

Springer Nature is seeking a Data Analyst to join our Lisbon and London teams, delivering data-driven insights. You will design dashboards and analyze complex datasets to support business decisions across product and content acquisition.

The role collaborates with Technology, Business, and User Research to embed data thinking in product strategy. The ideal candidate has strong SQL and Python skills, experience with BI tools, and a passion for storytelling with data.

Qualificações

• Bachelor's or equivalent in quantitative science.
• Proficient in SQL and Python for data analytics.
• Experience building analytics dashboards and ETL processes.

Responsabilidades

• Develop metrics and dashboards to monitor business metrics.
• Partner with cross-functional teams to deliver insights.
• Own data pipelines and data quality checks.
• Tell data-driven stories to diverse audiences.

Conhecimentos

Data analysis

SQL proficiency

Python

Data storytelling

Collaboration

Formação académica

University degree in quantitative field

Ferramentas

Looker

Plotly

dbt

Dataform

BigQuery

Descrição da oferta de emprego

Job Title: Data AnalystLocation(s): Lisbon, Portugal & London, United KingdomApplication Deadline: (if applicable)About Springer Nature (will be included on all adverts)Springer Nature is one of the leading publishers of research in the world. We publish the largest number of journals and books and are a pioneer in open research. Through our leading brands, trusted for more than 180 years, we provide technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more information, please visit about.springernature.com and follow @SpringerNature.At Springer Nature, we recognise that great talent develops through many different paths. We encourage applications from individuals with strong transferable skills, provided they are supported by relevant experience that shows how those skills have been successfully applied in practice. Our hiring approach balances skills, experience, and potential to ensure each role is fulfilled with both short term effectiveness and long term growth in mind.About the BrandSN Digital (SND) is a technology division of Springer Nature. We are responsible for maintaining and delivering millions of articles used by researchers, scientists and students around the globe.There are c.330 of us in London, Berlin, Pune, New York, Madrid, Dordrecht, Heidelberg. We work in collaborative, multi-disciplinary delivery teams, developing digital products and services that answer user problems and support business goals.The work is interesting and meaningful.Our culture is collaborative and friendly.We encourage and support growth, both personal and professional.This is a terrific opportunity for friendly, inquisitive people who want to get involved in our work, who love to learn, who will embrace and develop our culture, and help make SN Digital a place where people and ideas can thrive. Having a good command of English is important; collaboration is important in our day-to-day work, so being able to communicate your ideas and understand others’ is key.We are intentionally looking to create teams that are diverse and inclusive. Diversity is the mix of culture, background, experience and personality that we all bring; inclusion is getting the mix to work better together. We want every member of our teams to contribute to our common goals while respecting each other's skills, knowledge and needs.About the RoleAs a data analyst in the Content Acquisition Product Group, you will connect with Technology, Business and User Research functions, using your skills in data analysis and quantitative research to deliver value across the organization. You will support the development of digital products through their lifecycle – from planning and analysis to delivery and operations – while considering customer, business and wider scientific landscape perspectives.Role ResponsibilitiesUnderstanding the global scientific landscape, our publishing business and its content acquisition processes through data.Applying business knowledge, quantitative methods and proficient storytelling to help teams keep data at the core of their thinking and decision-making.Designing and deploying key metrics to measure different aspects of the business.Creating and maintaining analytics products for easier data querying and self-service.Creating and maintaining dashboards to track metrics and visualize insights.Partnering with cross-functional teams for deep dive research projects to uncover trends, opportunities and threats at longer timescales.Help drive the shift to a data mindset as part of our culture – promoting data literacy across the company, while advocating and educating teams to keep data front and center.Experience, Skills & Qualifications:EssentialUniversity degree in a quantitative discipline (e.g., Mathematics, Statistics, Data Science, Engineering or related STEM fields).Previous experience as a Data Analyst or similar quantitative roles, creating impactful data solutions for solving product/business problems.Strong analysis design, implementation and ownership skills.Excellent data preparation and manipulation skills - Advanced proficiency in SQL and advanced analysis experience in Python.Experience in data visualization concepts and tools (BI – e.g. Looker and Python-based – e.g. Plotly).Experience using cloud-based data warehouses (e.g. GCP BigQuery or similar).Experience in analytics engineering – Creating, owning and maintaining ETL processes, setting up analytics pipelines, data modelling and data testing capabilities (e.g. dbt, Dataform).DesirableSolid statistical knowledge (e.g. descriptive statistics, inferential statistics, sampling methods etc.). Understanding of machine learning techniques is a plus, but not mandatory.Amazing data storyteller – Turns raw data into meaningful stories that effectively engage technical and non-technical audiences.Intellectually curious, motivated, detail-oriented and quality-focused: constantly looking for better questions, hypothesis, explanations.Strong collaboration, communication, and interpersonal skills.SN Skills for this role:SN-Goal Alignment, SN-Business Insights, SN-Big Data Management, SN-Storytelling, SN-Market Intelligence, SN-Decision Quality, SN-Data Security & Governance, SN-Data Domain Savvy, SN-Data analytics / Quantitative Skills, SN-Tech Savvy#LI-AR1