Senior Data Analyst

 

About Springer Nature Group

Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 180 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow. Visit group.springernature.com and follow @SpringerNature / @SpringerNatureGroup.

 

 

Job title: Senior Data Analyst

Location: Jersey City, New York or Dordrecht (Hybrid Working)

Closing Date: February 8th 2024

 

The Senior Data Analyst supports the editorial and publishing needs of over 3000 journals in the Springer Nature Journals group by acquiring and analysing data and extracting key insights to report to stakeholders at all levels. Reporting will monitor our performance against KPIs and ensure we use data driven decisions to provide a best-in-class service for our authors, editors, and reviewers.

 

We are now looking for a Senior Data Analyst to provide invaluable insight to parts of the process where we are operating well (or under-performing) so we know where to focus our efforts. You will have a particular focus on goals that pertain to researcher service and operational efficiency but may need to focus on specific strategic projects that fall outside of this as required.

 

You will possess strong statistical, and problem-solving skills. You will be an expert in collecting, organising, and analysing data.

 

Key Responsibilities:

• Lead the design, development, and documentation of automated reports/dashboards to help address reporting challenges and meet the information needs of stakeholders

• Proactively extract, clean data on SN journals from eJP, Editorial Manager and SNAPP and audit data quality

• Analyze data using statistical techniques; identify, analyze, and interpret trends or patterns in complex data sets

• Examine data sets to discover and organize meaningful insight to benefit the performance of the SN Journals Group, supporting monitoring and achievement of KPIs

• Create graphs and visualizations to ensure effective communication of necessary data

• Provide meaningful insights to stakeholders to describe the data and identify trends when producing reports

• Work with stakeholders in the editorial and publishing departments to identify and prioritize business needs

• Work with other departments (Publishing, Finance, Market Intelligence, etc.) to support alignment of data and company initiatives where required

• Solves complex problems; takes a new perspective using existing solutions

• Leads, innovates and delivers solutions at a project level

• Uses best practices and knowledge of internal or external business issues to improve products or services

• Work proactively and independently with stakeholders, partners, and other analysts to own and execute data analytics projects that blend technical and customer needs

• Works independently, receives minimal guidance

• May lead other analysts, functional teams or projects

• Acts as a resource for colleagues with less experience

 

Core experience, skills, and qualifications:

• University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science, Statistics, Mathematics, Econometrics, Physics, Computer Science etc.)

• Strong knowledge and experience with Excel for data analysis

• Strong working knowledge of SQL

• Experience with analytics data products (e.g. Google suite: Looker Studio, Looker, Big Query) 

• Demonstrable experience of using data insights and analytics to add tangible value in academic or work environments

• A passion for working with large datasets

• Excellent analytical problem-solving capabilities

• Well organized and accurate with good time management

• Excellent data representation and report writing skills, and a keen eye for detail

 

Desirable experience, skills and qualifications

• Other technical languages (Python, R or solution specific language)

• Statistics, data science or coding experience is beneficial

• Publishing industr