At a Glance
- Tasks: Analyse data, identify issues, and support resolution in a dynamic transformation programme.
- Company: Join the University of Sheffield, a world-class institution with a diverse community.
- Benefits: Enjoy 38 days annual leave, flexible working, and a generous pension scheme.
- Other info: Be part of a supportive environment with excellent career development opportunities.
- Why this job: Make a real impact by transforming data processes and supporting key business decisions.
- Qualifications: Experience in data analysis, strong problem-solving skills, and proficiency in data tools like SQL.
The predicted salary is between 32080 - 36636 £ per year.
The University of Sheffield is a remarkable place to work.
Our people are at the heart of everything we do.
Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.
We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more.
Find out more about our benefits (opens in a new window) and join us to become part of something special.
Overview
The Data Analyst supports the delivery of data activities within a large-scale enterprise transformation programme, including the transition from SAP ECC to new platforms across HR, finance, procurement, and expenses.
The role focuses on analysing data, identifying and structuring data issues, and supporting their resolution.
Working with both business stakeholders and technical teams, the Data Analyst translates data findings into clear insights, helping the programme understand data challenges and make informed decisions.
The role operates with a high degree of independence on defined tasks, while working alongside Senior Data Analysts on more complex issues.
The role operates within a large-scale transformation programme moving from SAP ECC to multiple new platforms.
The environment is complex and fast-moving, requiring a pragmatic approach to analysing and improving data without unnecessary over-analysis.
Main duties and responsibilities
- Data Analysis, Discovery & Issue Management
- Analyse legacy data (e. g. SAP ECC) across multiple functional domains to identify data quality issues such as completeness, accuracy, and consistency
- Investigate data anomalies and support root cause analysis
- Structure findings into clear problem statements, including issue, cause, and business impact
- Manage and progress data quality issues through to resolution, maintaining clear documentation and tracking
- Data Preparation, Validation & Migration Support
- Execute data cleansing activities in collaboration with business stakeholders, including resolving duplicate, obsolete, or inaccurate data
- Support preparation of data for migration into target systems
- Validate data extracts, transformations, and mappings
- Participate in migration activities, including test cycles and mock migrations, and resolve data discrepancies
- Stakeholder Engagement & Delivery Support
- Work directly with business stakeholders to gather requirements, clarify issues, and support resolution of data challenges
- Collaborate with IT teams and external delivery partners (e. g. systems integrators) to investigate and resolve data issues
- Act as a reliable point of contact for data-related queries within defined areas
- Data Mapping, Testing & Reporting Awareness
- Support definition and validation of data mapping for integrations and system transitions
- Execute data testing, reconciliation, and validation activities pre- and post-migration
- Understand how data supports reporting and analytics, identifying potential downstream impacts of data changes
- Key Deliverables
- Analysed and documented data issues (including cause and impact)
- Contributions to cleansed and migration-ready datasets
- Data validation, testing, and reconciliation outputs
- Data mapping support documentation
- Accurate tracking and progression of data issues
- Carry out other duties, commensurate with the grade and remit of the post
Person Specification
- Experience in data analysis within a business or technical environment – Essential, Application/interview
- Strong analytical and problem-solving skills – Essential, Application/interview
- Ability to investigate and interpret data issues – Essential, Application/interview
- Experience working with data tools (e. g. SQL, Excel) – Essential, Application/interview
- Ability to communicate data findings clearly to both technical and non-technical stakeholders – Essential, Application/interview
- Experience working with stakeholders across business and IT – Essential, Application/interview
- Strong attention to detail – Essential, Application/interview
- Comfortable working with ambiguity while progressing tasks independently – Essential, Application/interview
- Practical and delivery focused, with an ability to balance analysis with delivery pace – Essential, Application/interview
- Experience with ERP systems (e. g. SAP ECC) – Desirable, Application/interview
- Exposure to data migration or transformation programmes – Desirable, Application/interview
- Experience with data mapping or integration activities – Desirable, Application/interview
- Familiarity with BI/reporting tools (e. g. Power BI, Tableau) – Desirable, Application/interview
- Exposure to HR, finance, procurement, or expenses data domains – Desirable, Application/interview
- Further Information
- Grade: 6
- Work arrangement: Full-time
- Duration: Fixed-term until 31 July 2030
- Line manager: SAP Development Team Leader
- Right to work in the UK: If you do not currently hold the right to work in the UK, you can find more information here to help determine your visa eligibility.
Additional guidance is also available on the UK Visa & Immigration website.
- Our website: For informal enquiries about this job, contact J ean Dsouza, SAP Development Team Leade r on: j. p. dsouza@sheffield. ac. uk
- Next steps in the recruitment process
If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process, you can contact it-services-recruitment@sheffield. ac. uk
Our vision and strategic plan
We are the University of Sheffield. This is our vision: sheffield. ac. uk/vision (opens in new window).
What we offer
- A minimum of 38 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
- Flexible working opportunities, including hybrid working for some roles.
- Generous pension scheme.
- A wide range of discounts and rewards on shopping, eating out and travel.
- A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women's and Parent's networks).
- Recognition Awards to reward staff who go above and beyond in their role.
- A commitment to your development access to learning and mentoring schemes; integrated with our Professional Services Shared Skills Framework.
- A range of generous family-friendly policies
- paid time off for parenting and caring emergencies
- access to menopause support in the workplace
- paid time off and support for fertility treatment
- and more
We are a Disability Confident Leader (opens in a new window).
If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.
We are a research university with a global reputation for excellence.
Our ideas and expertise change the world for the better, making a real difference to society.
We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience.
Our University Vision ( www. sheffield. ac. uk/vision ) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.
#J-18808-Ljbffr
Data Analyst in Sheffield employer: Diversity Dashboard
Diversity Dashboard is an exceptional employer that prioritises inclusivity and professional growth, making it an ideal place for those passionate about tackling inequality and poverty. With a flexible working environment in the vibrant city of Edinburgh, employees benefit from a supportive work culture that encourages collaboration and continuous learning, ensuring that every team member can thrive in their role while making a meaningful impact in the community.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Sheffield
✨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 Diversity Dashboard!
✨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 Data Analyst at Diversity Dashboard.
✨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 Diversity Dashboard.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Diversity Dashboard, 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 Data Analyst in Sheffield
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 Diversity Dashboard, 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 Diversity Dashboard. 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 Diversity Dashboard
✨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 Diversity Dashboard!
✨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.
