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Springer Nature

Data Analyst, Scientific American at Springer Nature

Springer Nature Washington, DC

Job Description

Job Title: Data Analyst, Scientific AmericanLocation: New York or Washington DC (Hybrid Working Model)Reports to: Manager, Data & Insight, Scientific AmericanAbout Springer NatureSpringer 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 @SpringerNatureAbout the BrandFounded in 1845, Scientific American is the oldest continuously published magazine in the U.S. and the leading authoritative publication for science and technology in the general media. Together with scientificamerican.com and eight local language editions around the world, it reaches more than nine million readers. Scientific American is published by Springer Nature.Visit scientificamerican.com and follow @ScientificAmerican / @SciamAbout the RoleOur Data Analyst will partner with editorial, consumer marketing, and product & technology teams to grow audience and revenue, and to inform high-impact strategic and operational decisions.You will build reports, conduct data analysis, and make actionable recommendations that impact our business and critical growth goals.This role will be focused on answering open-ended questions with data and meaningful analysis aimed at identifying solutions and opportunities.You will help us bring data and insights into our daily work and decision-making. This role will be the owner and expert on our behavioral data (Google Analytics and Segment), but will also consolidate and analyze other disparate sources of data (podcast downloads, advertising metrics, social metrics, revenue performance, etc.) and help shape how we integrate and use data going forward.Responsibilities:Help establish group KPIs, track, and distribute results in real time or in regular intervalsPartner with product and technology, and marketing to ensure metrics are appropriately defined, implemented, and tested across our digital assetsDesign, build, and maintain key reports, dashboards, and analyses using tools and query language (e.g., Segment, BigQuery, SQL, Looker, Python, R, and other reporting and visualisation tools)Be familiar with data cleansing and transformationsAdvise and fulfil ad-hoc analysis and requestsAdvance and automate existing reports to reduce manual overheadAssist various testing and optimization efforts by performing in-depth and ad-hoc analysis of information from multiple data sources (web analytics data, marketing data, newsletter data, subscription data, alternate platforms as well as external data) to assist data informed decision making at all levelsPrepare and present a monthly report on performance and KPISSupport strategic decision-making of senior team with analysis and presentationsLiaise with other analytics resources within Springer Nature to ensure coordination and implementation of best practices.Experience, Skills & QualificationsBA/BS required with a strong analytical/quantitative background or equivalent experience (e.g. Data Science, Statistics, Mathematics, Econometrics, Physics, Computer Science etc.)2+ years of data analytics experience, with a strong preference for experience in digital media web, or subscription analyticsAbility to tell a story with dataA strong quantitative, creative, and problem-solving mindsetAbility to multitask, prioritise projects, and meet deadlinesExperience with SQL and PythonExpertise with enterprise Web Analytics systems and media/ publishing industry experience is preferredFamiliarity with analytics data products (e.g. Google suite: Datastudio, Looker, BigQuery, Colab, Analytics, Google Tag Manager or equivalent from other vendors)Ability to learn and apply new systems, methodologies, and practices to improve day-to-day workDemonstrable experience of using data insights and analytics to add tangible value in media/publishing environmentsExcellent analytical problem-solving capabilitiesWell organised and accurate with good time managementStatistics, data science experience is beneficial but not essentialSome experience with building and maintaining ETL pipelinesSpringer Nature US provides a comprehensive and competitive benefits package, which includes the benefit offerings listed below:Medical, Dental, and Vision401(k) with company match and contributionHybrid office working policy, Summer Hours, and paid time offFlexible Spending and Commuter ProgramsMultiple Life insurance optionsDisability coverageTuition AssistanceVoluntary benefits: Identity Theft Protection, Pet Insurance, and Legal Assistance InsuranceEmployee Assistance ProgramFamily-friendly benefits and a variety of employee discountsAn array of Employee Social NetworksUS Annualized Base Salary Range: $80,000 - $100,000. The salary offer may vary based on work experience, education, skill level, and equity. The US salary range does not align with the salary ranges in other countries when converted to the currency of that country.Springer Nature is an Equal Opportunity Employer that complies with the laws and regulations set forth in the following https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf poster.At Springer Nature, our mission is to be part of progress - and that begins with inclusion: of people, perspectives, and ideas. We believe that diverse perspectives drive progress, and we are committed to creating an environment where people and ideas can flourish. If you have any access needs related to disability, neurodivergence, or a chronic condition, please contact us so we can make all necessary accommodations. Find out more about our DEI work here: https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion For more information about career opportunities in Springer Nature, please visit https://springernature.wd3.myworkdayjobs.com/SpringerNatureCareers/#LI-EG1

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