Data Analyst, Scientific American

Job Title : Data Analyst, Scientific American

Location : New York or Washington DC (Hybrid Working Model)

Reports to : Manager, Data & Insight, Scientific American

About Springer Nature

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

About the Brand

Founded 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 / @Sciam

About the Role

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.

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 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 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, or subscription analytics

Ability to tell a story with data

A strong quantitative, creative, and problem-solving mindset

Ability to multitask, prioritise projects, and meet deadlines

Experience with 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, 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 organised and accurate with good time management

Statistics, data science experience is beneficial but not essential

Some experience with building and maintaining ETL pipelines

Springer Nature US provides a comprehensive and competitive benefits package, which includes the benefit offerings listed below :

Medical, Dental, and Vision

401(k) with company match and contribution

Hybrid office working policy, Summer Hours, and paid time off

Flexible Spending and Commuter Programs

Multiple Life insurance options

Disability coverage

Tuition Assistance

Voluntary benefits : Identity Theft Protection, Pet Insurance, and Legal Assistance Insurance

Employee Assistance Program

Family-friendly benefits and a variety of employee discounts

An array of Employee Social Networks

US 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 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 :

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