Data Analyst

Springer Nature

. Analyze the global scientific landscape, publishing business and content acquisition processes through data .

Posted 10/2/2026full-timeLisbon • PortugalMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, visualization, and quantitative methods to drive data-driven decision-making. Proficient in SQL and Python, with experience in analytics engineering and cloud-based data solutions.

Highest-signal resume keywords

Data AnalysisSQL ProficiencyPython AnalysisData VisualizationAnalytics Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLPythonData VisualizationETL ProcessesAnalytics PipelinesData ModellingData TestingStatistical KnowledgeMachine Learning Techniques

Soft Skills

CollaborationCommunicationInterpersonal Skills

Tools & Technologies

LookerPlotlyGCP BigQueryDbtDataform

Industry Keywords

Data LiteracyDigital ProductsContent AcquisitionBusiness AnalysisQuantitative Discipline

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Analyze the global scientific landscape, publishing business and content acquisition processes through data
Apply business knowledge, quantitative methods and storytelling to support data-driven decision-making
Design and deploy key metrics to measure different aspects of the business
Create and maintain analytics products for data querying and self-service
Create and maintain dashboards to track metrics and visualize insights
Partner with cross-functional teams on deep-dive research projects to uncover trends, opportunities and threats
Promote data literacy and help drive a data mindset across the company
Support digital products throughout their lifecycle, from planning and analysis to delivery and operations
Connect with Technology, Business and User Research functions to deliver organizational value

Requirements

What you’ll need

University 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
Advanced proficiency in SQL
Advanced analysis experience in Python
Experience in data visualization concepts and tools, including Looker and Plotly
Experience using cloud-based data warehouses, such as GCP BigQuery or similar
Experience in analytics engineering, including ETL processes, analytics pipelines, data modelling and data testing capabilities, such as dbt or Dataform
Solid statistical knowledge is desirable
Understanding of machine learning techniques is a plus, but not mandatory
Strong collaboration, communication, and interpersonal skills
Good command of English

Benefits

Comp & perks

Collaborative and friendly culture
Support for personal and professional growth
Diverse and inclusive teams
Technology-enabled products, platforms and services
Opportunity to work on interesting and meaningful projects