Product and Subscription Data Analyst, Scientific American

Location: New York

This job is with Springer Nature, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Job Title:

Product and Subscription  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            and follow @Springer Nature
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  and eight local language editions around the world, it reaches more than nine million readers. Scientific American is published by Springer Nature.
Visit        and follow @Scientific American / @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 i  nto 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   u  sing   tools   and query language     (  e.g.,   Segment  ,   Big Query  ,     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

Experience with   SQL   and Python

Expertise with Web Analytics systems required

Experience with in media/publishing industry is preferred

Ability to tell a story with data

A strong quantitative, creative, and problem-solving mindset

Ability to…