Data Analyst, Automation & Analysis

As a Data Analyst Automation Analysis at Springer Nature, you will play a crucial role in contributing to data and reporting activities supporting business as usual processes and strategic initiatives. Your key responsibilities will include:

• **Data Analysis**:
• Design, build, and maintain dashboards and reporting tools using Looker and Google BigQuery.
• Analyze large datasets to identify trends, patterns, and actionable insights for improving operational efficiency and supporting decision-making.
• Contribute to developing and documenting data standards, definitions, and best practices.
• Recommend and implement KPIs, data definitions, and reporting frameworks to measure success.
• **Journal Care**:
• Gather system requirements from publishers, editors, and service providers.
• Set up, maintain, and administrate peer review systems.
• Conduct presentations and training sessions for internal and external stakeholders.
• Ensure quality of article-level activities and act as an escalation point for individual journals.
• Maintain journal-specific records and documentation.

In addition to your core responsibilities, you will also be expected to:

• Be an advocate for continuous improvement, quality, and efficiency.
• Foster a culture of openness, transparency, and collaboration within the team and with stakeholders.
• *Experience, Skills, and Qualifications**:
• Working with large datasets for extracting insights and supporting decisions.
• Collaborating with cross-functional teams and communicating technical findings to non-technical stakeholders.
• Proficiency in Looker, Google BigQuery, and other BI tools.
• Previous experience in publishing or support roles.
• Strong analytical skills with the ability to identify trends and patterns in complex data.
• Proficiency in SQL and programming languages like Python.
• Excellent organization, communication, and problem-solving skills.
• Proactive and able to lead projects independently or as part of a team.
• Degree or equivalent work experience required; additional training in data analysis or business intelligence is desirable.

Springer Nature values diversity, inclusivity, and empowers its employees to bring their unique perspectives to work. If you have any access needs related to disability, neurodivergence, or chronic conditions, please contact us for necessary accommodations. For more information on career opportunities at Springer Nature, visit our website. As a Data Analyst Automation Analysis at Springer Nature, you will play a crucial role in contributing to data and reporting activities supporting business as usual processes and strategic initiatives. Your key responsibilities will include:

• **Data Analysis**:
• Design, build, and maintain dashboards and reporting tools using Looker and Google BigQuery.
• Analyze large datasets to identify trends, patterns, and actionable insights for improving operational efficiency and supporting decision-making.
• Contribute to developing and documenting data standards, definitions, and best practices.
• Recommend and implement KPIs, data definitions, and reporting frameworks to measure success.
• **Journal Care**:
• Gather system requirements from publishers, editors, and service providers.
• Set up, maintain, and administrate peer review systems.
• Conduct presentations and training sessions for internal and external stakeholders.
• Ensure quality of article-level activities and act as an escalation point for individual journals.
• Maintain journal-specific records and documentation.

In addition to your core responsibilities, you will also be expected to:

• Be an advocate for continuous improvement, quality, and efficiency.
• Foster a culture of openness, transparency, and collaboration within the team and with stakeholders.
• *Experience, Skills, and Qualifications**:
• Working with large datasets for extracting insights and supporting decisions.
• Collaborating with cross-functional teams and communicating technical findings to non-technical stakeholders.
• Proficiency in Looker, Google BigQuery, and other BI tools.
• Previous experience in publishing or support roles.
• Strong analytical skills with the ability to identify trends and patterns in complex data.
• Proficiency in SQL and programming languages like Python.
• Excellent organization, communication, and problem-solving skills.
• Proactive and able to lead projects independently or as part of a team.
• Degree or equivalent work experience required; additional training in data analysis or business intelligence is desirable.

Springer Nature values diversity, inclusivity, and empowers its employees to bring their unique perspectives to work. If you have any access needs related to disability, neurodivergence, or chronic conditions, please contact us for necessary accommodations. For more information on career opportunities at Springer Nature, visit our website.