Article Pipeline Data Analyst/Senior Data Analyst

<p><b>Job Title: </b>Article Pipeline Data Analyst / Senior Data Analyst</p><p><b>Location: </b>Berlin or Dordrecht</p><p></p><p><b>About Springer Nature Group</b></p><p>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 <span>group.springernature.com</span> and follow @SpringerNature / @SpringerNatureGroup</p><p></p><p><b>About the Role</b></p><p>Are you passionate about data-driven decision-making and process optimization? Do you thrive on leveraging business intelligence to drive performance improvements?  </p><p>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.</p><p>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. </p><p>This role will be in our Berlin or Dordrecht offices on a hybrid working model.</p><p></p><p><b>Role Responsibilities:</b></p><p><b>Project &amp; Data Coordination</b>  </p><ul><li>Manage strategic, cross-functional initiatives to optimize publishing workflows and improve turnaround times </li><li>Monitor and track publishing performance using business intelligence tools to ensure alignment with program goals </li><li>Design, build and maintain advances dashboards and reporting solutions using Looker and GBQ to monitor and track publishing performance, ensuring alignment with program goals </li><li>We place a higher emphasis on the first item for our Senior Data Analyst, where we expect them to spend most of their time </li></ul><p></p><p><b>Change Management &amp; Stakeholder Engagement</b>  </p><ul><li>Develop and implement change management strategies to foster the adoption of new data analytics frameworks and performance improvements </li><li>Act as a key liaison between departments, ensuring alignment on business goals and priorities </li><li>Communicate complex operational changes and data-driven insights to both technical and non-technical stakeholders, ensuring clarity and engagement </li></ul><p></p><p><b>Data Analysis &amp; Business Intelligence</b>  </p><ul><li>Leverage business intelligence insights to inform strategic decision-making and optimize operational efficiencies.  </li><li>Recommend and implement new KPIs, data definitions, and reporting frameworks to measure success effectively.  </li><li>Utilize tools like Looker, Google BigQuery to conduct in-depth performance analysis and identify optimization opportunities.   </li></ul><p></p><p><b>Process Improvement &amp; Innovation</b>  </p><ul><li>Identify inefficiencies in the article pipeline and develop targeted, data-driven solutions to enhance publishing speed and quality </li><li>Promote continuous improvement by implementing best practices in program/project management and business intelligence analytics </li><li>Advocate for technology integration, automation, and data analytics to streamline editorial and production workflows </li></ul><p></p><p><b>Author, Editor &amp; Reviewer Experience</b>  </p><ul><li>Track and oversee metrics across multiple projects to ensure improvements align with author, editor, and reviewer experience goals </li></ul><p></p><p><b>Experience, Skills &amp; Qualifications:</b></p><ul><li>A degree in Economics, Finance or a related field</li><li>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 </li><li>Industry experience in publishing, consulting, supply chain, or related fields </li><li>Hands-on experience working with Editorial, Production, Operations, and Technology teams </li><li>Proven expertise in data-driven decision-making, process improvements, and effic