Springer Nature is looking to solve the problem of growing audience and revenue, and informing high-impact strategic and operational decisions through data analysis and insights.
Requirements
- 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, 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
- Statistics, data science or coding experience is beneficial but not essential
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
Other
- BA/BS required with a strong analytical/quantitative background or equivalent experience
- 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, prioritise projects, and meet deadlines
