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- 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.
- 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.
- Other info: We welcome applications from all backgrounds and offer support for applicants with disabilities.
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
About Our Team
- 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.
Could you be our new Systems Data Analyst? Are you?
- 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
Your New Role
- 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.
Overview Of Benefits
- 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.
Other Benefits, Which May Change Include
- 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
If you have a disability and need any support during the application process, please contact hr.resume@sagepub.com . We will respond to any requests for support in a timely manner. All qualified applicants are encouraged to apply.
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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Systems Data Analyst employer: Sage
Contact Detail:
Sage Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systems Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Power BI, and ETL tools. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Showcase your communication skills by preparing to explain complex data concepts in simple terms. This is crucial for a Systems Data Analyst role, as you'll need to bridge the gap between technical and non-technical teams.
✨Tip Number 3
Research Sage's mission and values thoroughly. Understanding their commitment to diversity, equity, and inclusion will help you align your responses during interviews and demonstrate that you're a good cultural fit.
✨Tip Number 4
Prepare examples of how you've successfully identified and implemented process improvements in previous roles. This will highlight your proactive approach and ability to enhance team effectiveness, which is key for this position.
We think you need these skills to ace Systems Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Systems Data Analyst role. Focus on your proficiency in SQL, data analysis techniques, and any experience with ETL tools or data warehousing.
Craft a Compelling Cover Letter: Even though a cover letter is not essential, it can set you apart. Use it to explain how your background and skills make you a great fit for Sage. Mention specific projects or experiences that demonstrate your ability to work independently and as part of a team.
Showcase Communication Skills: Since the role requires excellent communication skills, provide examples in your application of how you've effectively communicated complex concepts to both technical and non-technical audiences.
Highlight Flexibility and Adaptability: Sage values flexibility in their employees. In your application, mention instances where you've successfully adapted to changing environments or handled multiple tasks concurrently, showcasing your ability to thrive in a dynamic setting.
How to prepare for a job interview at Sage
✨Understand the Role
Before your interview, make sure you thoroughly understand the responsibilities of a Systems Data Analyst. Familiarise yourself with data warehousing concepts, SQL, and the tools mentioned in the job description like Power BI and Jira.
✨Prepare for Technical Questions
Expect to be asked about your experience with SQL and data analysis techniques. Brush up on your skills, especially on joins and WHERE clauses, as well as any relevant ETL processes. Be ready to discuss specific projects where you've applied these skills.
✨Showcase Your Communication Skills
As an excellent communicator, you’ll need to explain complex concepts to both technical and non-technical audiences. Prepare examples of how you've successfully communicated in previous roles, particularly in a remote or diverse team setting.
✨Demonstrate Problem-Solving Abilities
Be prepared to discuss how you've identified and resolved data issues in the past. Think of examples where you've implemented process improvements or tackled challenges in a technology team, showcasing your analytical thinking and adaptability.
