At a Glance
- Tasks: Provide technical support and solve data issues for business systems.
- Company: Join Hyde, a purpose-driven organisation focused on community and career growth.
- Benefits: Enjoy 26 days leave, pension contributions, and flexible benefits.
- Other info: Inclusive workplace with opportunities for learning and development.
- Why this job: Make a real impact by improving data systems and supporting users.
- Qualifications: Experience in data support and good SQL knowledge required.
The predicted salary is between 30000 - 40000 £ per year.
Hyde is looking for a Data Support Analyst to join our team. This is a great opportunity for someone who enjoys solving technical and data issues, supporting users and improving the way systems and data work across the organisation.
Key responsibilities
- Provide technical and data support for business systems and user requests.
- Investigate data, integration and reconciliation issues and identify root causes.
- Use tools such as SQL, logs and monitoring dashboards to diagnose and resolve problems.
- Escalate complex issues to technical teams or suppliers where needed.
- Support users with clear advice and practical problem solving.
- Carry out data checks and reconciliations to maintain data quality across systems.
- Keep accurate records, logs and documentation to support compliance and service improvement.
- Work with colleagues across the organisation to improve processes and ways of working.
What we’re looking for
- Experience in a data support analyst, systems support or technical support role.
- Good working knowledge of SQL for data investigation and validation.
- Experience of troubleshooting system, data or integration issues.
- Ability to explain technical issues clearly to non-technical users.
- Strong attention to detail and a methodical approach to solving problems.
- Experience of working with cloud-based platforms such as AWS is helpful.
- Confidence using support tools, dashboards or command-line tools would be an advantage.
- A collaborative approach and the ability to manage your workload in a busy environment.
At Hyde, we’re committed to building homes and communities where people can thrive. We want our colleagues to grow their careers in a supportive, inclusive and purpose-driven organisation.
Benefits
- Employer pension contributions of up to 10%
- 26 days annual leave, plus bank holidays
- Life insurance
- Health cash plan
- Retail discounts and flexible benefits
- Learning, development and career progression opportunities
- A range of wellbeing support, including an employee assistance programme and 24/7 online GP
Equity, diversity and inclusion are central to life at Hyde. We’re committed to creating a truly inclusive workplace where everyone feels respected, valued and able to be themselves. Our aim is to have a workforce that reflects the diversity of the customers and communities we serve, ensuring that different perspectives are represented in decision-making, service delivery, and the way we shape our organisation.
As a Disability Confident Employer, we’re happy to provide reasonable adjustments throughout the recruitment process and in the workplace.
Please note: candidates will be required to complete an online psychometric assessment prior to interview. We reserve the right to close this advert early if a suitable candidate is identified.
Data Support Analyst employer: Hyde Housing Association
Hyde is an exceptional employer that prioritises the growth and wellbeing of its employees, offering a supportive and inclusive work environment. As a Data Support Analyst, you will benefit from generous employer pension contributions, extensive annual leave, and numerous learning and development opportunities, all while contributing to meaningful projects that enhance communities. With a strong commitment to equity, diversity, and inclusion, Hyde ensures that every team member feels valued and empowered to thrive in their career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Support Analyst
✨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 Hyde Housing Association!
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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 Hyde Housing Association.
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We think you need these skills to ace Data Support Analyst
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 Hyde Housing Association, 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 Hyde Housing Association. 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 Hyde Housing Association
✨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 Hyde Housing Association!
✨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.
