Product and Subscription Data Analyst, Scientific American

Springer Nature•Washington, DC

4d•$80,000 - $100,000•Hybrid

About The Position

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.

Requirements

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
Ability to tell a story with data
A strong quantitative, creative, and problem-solving mindset
Ability to multitask, prioritise projects, and meet deadlines
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

Nice To Haves

Experience within media/publishing industry is preferred
Statistics, data science experience is beneficial but not essential
Some experience with building and maintaining ETL pipelines

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.

Benefits

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