Article Pipeline Data Analyst/Senior Data Analyst
Job Title: Article Pipeline Data Analyst / Senior Data Analyst
Location: Berlin or Dordrecht
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
About the Role
Are you passionate about data-driven decision-making and process optimization? Do you thrive on leveraging business intelligence to drive performance improvements?
Publication speed is an important decision factor within the article submission process – it is one of a few primary factors authors look at when deciding to submit. To improve our publication speeds, in other words to achieve a significant reduction in our turnaround times (TATs), we are looking for a Data Analyst/Senior Data Analyst. The Data Analyst/Senior Data Analyst plays a hands-on role in realizing an optimal flow of our articles along our pipeline. Better TATs offer an enhanced experience to our authors and contribute to Springer Nature’s overall business goals.
We are seeking a Data Analyst/Senior Data Analyst with expertise in business intelligence and strategic change management to drive a performance transformation across Springer Nature’s 3,000-journal portfolio. This role will focus on coordinating data-driven initiatives, ensuring alignment across teams, and empowering data-driven decision-making to optimize publishing processes, including article turnaround times.
This role will be in our Berlin or Dordrecht offices on a hybrid working model.
Role Responsibilities:
Project & Data Coordination
- Manage strategic, cross-functional initiatives to optimize publishing workflows and improve turnaround times
- Monitor and track publishing performance using business intelligence tools to ensure alignment with program goals
- Design, build and maintain advances dashboards and reporting solutions using Looker and GBQ to monitor and track publishing performance, ensuring alignment with program goals
- We place a higher emphasis on the first item for our Senior Data Analyst, where we expect them to spend most of their time
Change Management & Stakeholder Engagement
- Develop and implement change management strategies to foster the adoption of new data analytics frameworks and performance improvements
- Act as a key liaison between departments, ensuring alignment on business goals and priorities
- Communicate complex operational changes and data-driven insights to both technical and non-technical stakeholders, ensuring clarity and engagement
Data Analysis & Business Intelligence
- Leverage business intelligence insights to inform strategic decision-making and optimize operational efficiencies.
- Recommend and implement new KPIs, data definitions, and reporting frameworks to measure success effectively.
- Utilize tools like Looker, Google BigQuery to conduct in-depth performance analysis and identify optimization opportunities.
Process Improvement & Innovation
- Identify inefficiencies in the article pipeline and develop targeted, data-driven solutions to enhance publishing speed and quality
- Promote continuous improvement by implementing best practices in program/project management and business intelligence analytics
- Advocate for technology integration, automation, and data analytics to streamline editorial and production workflows
Author, Editor & Reviewer Experience
- Track and oversee metrics across multiple projects to ensure improvements align with author, editor, and reviewer experience goals
Experience, Skills & Qualifications:
- A degree in Economics, Finance or a related field
- 2-4 years (data analyst) or 5-7 years (senior data analyst) of experience in business intelligence, program/project management, data analytics, or process optimization
- Industry experience in publishing, consulting, supply chain, or related fields
- Hands-on experience working with Editorial, Production, Operations, and Technology teams
- Proven expertise in data-driven decision-making, process improvements, and efficiency tracking
- For seniors: track record of leading cross-functional initiatives to optimize performance
- Bachelor's degree in business administration, Data Analytics, Strategic Management, Project Management, or a related field
- A PhD or advanced degree in Mathematics, Computer Science, Data Science, or other data-intensive fields is highly valuable, but not required
- Certifications in PMP, Agile, or relevant methodologies are a plus
Business Intelligence & Data Analytics
- Proficient in analyzing publishing performance metrics to drive strategic improvements
- Expertise in tools such as Looker and Google BigQuery
- Strong understanding of KPIs, data definitions, and reporting frameworks
Project & Change Management
- Proven ability to manage cross-functional initiatives and align stakeholders
- Experience in Agile, Lean, Six Sigma methodologies (preferred)
- Strong strategic planning and execution skills
Process Optimization & Innovation
- Ability to identify inefficiencies and implement data-driven solutions
- Experience in workflow automation and technology integration
- Strong problem-solving skills with a focus on continuous improvement
Stakeholder Engagement & Communication
- Skilled in communicating complex data insights to technical and non-technical audiences
- Strong ability to liaise with Editorial, Operations, and Technology teams
- Change management expertise to drive adoption of new analytics frameworks
Note for candidates in the Netherlands: As per our local policy, please be aware that this role will be open only for internal candidates within the first 2 weeks. Afterwards, external applications will be progressed
At Springer Nature, we value the diversity of our teams and work to build an inclusive culture, where people are treated fairly and can bring their differences to work and thrive. We empower our colleagues and value their diverse perspectives as we strive to attract, nurture and develop the very best talent. Springer Nature was awarded Diversity Team of the Year at the 2022 British Diversity Awards. Find out more about our DEI work here https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion
If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodation.
For more information about career opportunities in Springer Nature please visit https://springernature.wd3.myworkdayjobs.com/SpringerNatureCareers
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Join our vibrant team at Springer Nature as an Article Pipeline Data Analyst or Senior Data Analyst in our Berlin office! If you have a passion for data-driven decision-making and a knack for optimizing processes, we want you! In this role, you will be right in the thick of things, helping us streamline our article submission processes. With every article we handle, your analysis will play a crucial role in improving our publication speeds, which are vital to our authors when deciding where to submit their work. You'll manage strategic initiatives that allow us to track publishing performance and ensure our teams stay aligned with our goals. Using cutting-edge tools like Looker and Google BigQuery, you will design and maintain dashboards that not only monitor article flows but also illuminate areas for performance improvements. Additionally, you will engage stakeholders across departments, ensuring everyone is on the same page about our goals and strategies. Whether you’re a seasoned senior analyst with years of experience or an up-and-coming data analyst eager to make your mark, this role is for you. We value collaboration, innovation, and a strong commitment to enhancing the author and reviewer experience. The hybrid working model offers flexibility, allowing you to balance work and life as you contribute to our 3,000-journal portfolio. Make your next career move with us, where your insights can lead to real-world change!
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