{"id":1745715,"url":"https://alion.io/job/springer-nature-data-analyst","title":"Data Analyst","company":{"id":4699,"name":"Springer Nature","domain":"springernature.com","url":"https://alion.io/company/springernature","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":6,"ghost_share":0,"stale_share":0.167,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal","London, United Kingdom"],"countries":["PT","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":68000,"period":"year","method":"role_country_seniority_unknown","sample_n":19},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Plotly","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-06T22:55:34Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Title: Data Analyst\nLocation(s): Lisbon, Portugal & London, United Kingdom\nApplication Deadline: (if applicable)\nAbout Springer Nature (will be included on all adverts)\nSpringer 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.\nAt 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.\nAbout the Brand\nSN 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.\nThere 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.\nThe work is interesting and meaningful. \nOur culture is collaborative and friendly. \nWe encourage and support growth, both personal and professional. \nThis 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.\nWe 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.\nAbout the Role\nAs 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.\nRole Responsibilities\nUnderstanding the global scientific landscape, our publishing business and its content acquisition processes through data. \nApplying business knowledge, quantitative methods and proficient storytelling to help teams keep data at the core of their thinking and decision-making. \nDesigning and deploying key metrics to measure different aspects of the business. \nCreating and maintaining analytics products for easier data querying and self-service. \nCreating and maintaining dashboards to track metrics and visualize insights. \nPartnering with cross-functional teams for deep dive research projects to uncover trends, opportunities and threats at longer timescales. \nHelp 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. \nExperience, Skills & Qualifications:\nEssential\nUniversity degree in a quantitative discipline (e.g., Mathematics, Statistics, Data Science, Engineering or related STEM fields). \nPrevious experience as a Data Analyst or similar quantitative roles, creating impactful data solutions for solving product/business problems. \nStrong analysis design, implementation and ownership skills. \nExcellent data preparation and manipulation skills - Advanced proficiency in SQL and advanced analysis experience in Python. \nExperience in data visualization concepts and tools (BI - e.g. Looker and Python-based - e.g. Plotly). \nExperience using cloud-based data warehouses (e.g. GCP BigQuery or similar). \nExperience in analytics engineering - Creating, owning and maintaining ETL processes, setting up analytics pipelines, data modelling and data testing capabilities (e.g. dbt, Dataform). \nDesirable\nSolid statistical knowledge (e.g. descriptive statistics, inferential statistics, sampling methods etc.). 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