Scientific American, the oldest continuously published magazine in the U.S., has been bringing its readers unique insights about developments in science and technology since 1845.

More than 140 Nobel laureates have written for Scientific American, most of whom wrote about their prize-winning works years before being recognized by the Nobel Committee. In addition to the likes of Albert Einstein, Francis Crick, Jonas Salk and Linus Pauling, Scientific American continues to attract esteemed authors from many fields:

World leaders: former Prime Minister Gro Harlem Brundtland of Norway, former United Nations Secretary-General Trygve Lie

U.S. Government Officials: former U.S. Vice President Al Gore, former Secretary of Labor Robert Reich, former Senator Daniel Patrick Moynihan, former Secretary of Defense Les Aspin

Economists and Industrialists: John Kenneth Galbraith, Lester Thurow, Mitchell Kapor, Michael Dertouzos, Nicholas Negroponte

Scientific American is a truly global enterprise. Scientific American publishes 15 Editions Worldwide, read in more than 30 countries, with a worldwide audience of more than 5.3 million people.

Launched 1996, www.ScientificAmerican.com has become dynamic resource for science news, including blogs, podcasts, videos, and interactive media. Visitors to the site also have access to Science Jobs, the career board for professionals in the science and technology industries.

Job Title: Data Analyst, Scientific American
Location: NYC or DC – Hybrid working model
Reports to: VP Product + Technology, Scientific American

Our 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. This role is located in our New York City or Washington D.C. office on a hybrid working model.

Responsibilities

• Help establish group KPIs, track and distribute results in real time or in regular intervals
• Partner with product and technology and marketing to ensure metrics are appropriately defined, implemented, and tested across our digital assets
• Design, build, and maintain key reports, dashboards and analyses utilizing tools (Google Analytics, BigQuery, Looker), R, Python, and other reporting and visualization tools
• Be familiar with data cleansing and transformations.
• Advise and fulfil ad-hoc analysis and requests.
• Advance and automate existing reports to reduce manual overhead.
• Assist 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 levels
• Prepare and present a monthly report on performance and KPIS
• Support strategic decision-making of senior team with analysis and presentations
• Liaise with other analytics resources within Springer Nature to ensure coordination and implementation of best practices.

Experience, Skills & Qualifications

• BA/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 analytics
• Ability to tell a story with data
• A strong quantitative, creative, and problem-solving mindset
• Ability to multitask, prioritize projects, and meet deadlines.
• Working knowledge of SQL and Python
• Expertise with enterprise Web Analytics systems and media/ publishing industry experience is preferred
• Familiarity with analytics data products (e.g. Google suite: Datastudio, Looker, BigQuery, Dataform, 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 work
• Demonstrable experience of using data insights and analytics to add tangible value in media/publishing environments
• Excellent analytical problem solving capabilities
• Well organized and accurate with good time management
• Statistics, data science or coding experience is beneficial but not essential