At a Glance
- Tasks: Join our team as a Systems Data Analyst, enhancing data warehouses and translating business needs.
- Company: Sage is a global academic publisher dedicated to empowering researchers and educators since 1965.
- Benefits: Enjoy 25 days holiday, hybrid working, and access to Sage's resources and professional development support.
- Other info: We welcome applications from all backgrounds and offer support for applicants with disabilities.
- Why this job: Be part of a mission-driven company that values diversity and innovation in a flexible work environment.
- Qualifications: Proficiency in SQL, experience with data analysis, and strong communication skills are essential.
The predicted salary is between 34000 - 46000 £ per year.
This range is provided by Sage. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Systems Data Analyst – 40,370 – 50,470 – Perm
Join us and be part of a mission-driven, independent publisher. You’ll work with a diverse group of people who share a passion for empowering researchers, educators, and institutions to shape the future.
About Sage
Sageis a global academic publisher of books, journals, and library resources with a growing range of technologies to enable discovery, access, and engagement. Believing that research and education are critical in shaping society, Sara Miller McCune founded Sage in 1965. Today, we are controlled by a group of trustees charged with maintaining our independence and mission indefinitely.
Our Guaranteed Independence Means We’re Free To
- Do more– supporting an equitable academic future, furthering disciplines that drive social change, and helping social and behavioural science make an impact
- Work together– building lasting relationships, championing diverse perspectives, and co-creating resources to transform teaching and learning
- Think long-term– experimenting, taking risks, and investing in new ideas
- We deliver global data solutions to support Sage’s publishing strategy and gain a competitive edge.
- Our team includes Systems Data Analysts, Product Owners, Data Engineers, and leaders. We collaborate with the wider Technology team to meet business needs and support process improvement, delivery of new capabilities, and data governance practices.
- An excellent communicator who can explain concepts to both technical and non-technical audiences?
- Able to work independently, self-organize and multitask in a changing environment
- Experienced in synthesizing business needs into functional and non-functional requirements
- Experienced in facilitating effective discussion, decision making and conflict resolution
- Able to work effectively both independently and as part of a team in a remote, globally-distributed environment
- Effective at applying analysis techniques in a successful technology team delivering enhancements to data warehouses
- Familiar with relational databases, ETL tools, data conversion, and data cleansing methods
- Proficient in SQL, including joins and applying filters in WHERE clauses to mine, aggregate, and gather data.
- Familiar with Power BI and Fabric preferred
- Familiar with Confluence and Jira preferred
- Applying analysis techniques in a successful technology team delivering enhancements to data warehouses
- Translating business needs into functional and non-functional requirements.
- Creating data contracts and performing required data mining to support solution delivery and design.
- Handling a variety of tasks concurrently and demonstrating flexibility to meet delivery timeframes.
- Identifying and implementing process improvements and new techniques to improve team effectiveness.
- Rapidly acquiring and applying new business domain and technical knowledge, particularly in the context of data warehousing and business intelligence.
- Following standard methodologies for data and business analysis in an Agile Scrum team.
- Actively addressing internal and external risks, issues, and dependencies for the team.
- Analyzing and troubleshooting simple data issues without assistance, and more complex issues with guidance.
- 25 days holiday excluding bank holidays full-time/pro-rated for part-time roles
- 2 additional ’floating days’ of personal leave, in recognition that each of us has cultural, religious, or family commitments that fall at times when the company is not closed.
- Life assurance
- Income protection
- Access to Sage books and journals
- Tuition scheme and support for pursuing professional qualifications
- Hybrid working arrangements - In office 20% of contracted hours. We work flexibly and most staff can choose to work from home for up to 80% of their contracted hours.
- Variety of snacks and beverages available in the office
- Home working allowance
- Travel insurance
- Healthy lifestyle reimbursement
- Access to the Company doctor
- Access to Company loans (season ticket loan, rental deposit loan, cycle loan)
- Anniversary trip
A cover letter is important to us but is not essential for your application. It offers the hiring manager valuable insights into how your skill set aligns with the role, what unique contributions you can bring to the team and why you are interested in this position.
To ensure we can give each application the attention it deserves, we may consider bringing the closing date forward if we receive a high volume of applications. Therefore, we encourage you to submit your application as soon as possible to ensure it is considered.
Diversity, Equity, and Inclusion
At Sage we are committed to building a diverse and inclusive team that is representative of all sections of society and to sustaining a culture that celebrates difference, encourages authenticity, and creates a deep sense of belonging. We welcome applications from all members of society irrespective of age, disability, sex or gender identity, sexual orientation, colour, race, nationality, ethnic or national origin, religion or belief as creating value through diversity is what makes us strong.As a business and as an organisation with an increasingly agile workforce, we\'re open to flexible working arrangements where appropriate.
Sage is a global academic publisher of books, journals, and library resources with a growing range of technologies to enable discovery, access, and engagement. Our mission is building bridges to knowledge — supporting the development of ideas through the research process to scholarship that is certified, taught, and applied.
Learn about Sage | About our companies | Open editor positions
Sage is committed to the full inclusion of all qualified applicants. Accommodations will be made for any part of the interview process.
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Book and Periodical Publishing
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#J-18808-LjbffrSystems Data Analyst in London employer: Sage
Sage is an exceptional employer that champions a mission-driven culture, fostering a collaborative environment where diverse perspectives are valued. With a strong commitment to employee growth, Sage offers flexible working arrangements, generous benefits including additional personal leave, and opportunities for professional development, making it an ideal place for Systems Data Analysts looking to make a meaningful impact in the academic publishing sector.
StudySmarter Expert Advice🤫
We think this is how you could land Systems Data Analyst in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sage!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Systems Data Analyst at Sage.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sage.
✨Apply Directly through Our Website
When you find a suitable opening like Systems Data Analyst at Sage, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Systems Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sage, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sage. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Sage
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sage!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
