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- Tasks: Transform complex data into actionable insights and build engaging dashboards.
- Company: Leading home care provider focused on making life easier for families.
- Benefits: Collaborative team, skill development, and the chance to make a real impact.
- Why this job: Use your data skills to drive smarter decisions and improve care for thousands.
- Qualifications: Strong SQL skills and a curious, analytical mindset.
- Other info: Opportunity to work in a supportive environment with excellent career growth.
The predicted salary is between 28800 - 48000 £ per year.
At Helping Hands, data is at the heart of how we run our business and support our teams to deliver exceptional care at home. As a Data Analyst, you’ll play a key role in transforming complex datasets into clear, actionable insights that drive smarter decisions across the organisation.
Working in our Data & Insight team, you’ll be the bridge between stakeholders and our data platform – using SQL and BI tools to uncover trends, answer business questions, and tell compelling stories with data. This is a great opportunity for someone who enjoys working with people as much as data, and who wants to see their work make a real difference.
Location: At least one day per week at our Support Office in Alcester, Warwickshire.
What you’ll be doing:
- Querying large datasets using SQL to uncover trends, patterns, and opportunities.
- Building intuitive dashboards that bring data to life for stakeholders.
- Translating analysis into clear, engaging narratives that support strategic decision-making.
- Responding to data queries and ensuring reporting is timely, accurate, and relevant.
- Supporting process improvements by automating manual tasks and documenting best practices.
- Collaborating with stakeholders across the business to scope and define data requirements.
What we’re looking for:
- Strong SQL skills and experience with modern data platforms (e.g. Snowflake, dbt, Power BI).
- A curious, analytical mindset with excellent attention to detail.
- Experience in data cleaning, validation, and visualisation.
- Ability to communicate insights clearly to both technical and non-technical audiences.
- Strong organisational skills and the ability to manage multiple requests.
- Experience translating business questions into data-driven solutions.
Desirable extras:
- Confidence presenting insights to senior leaders and investors.
- Advanced SQL or experience with Python/R for deeper analysis.
- Understanding of GDPR, data governance, or data quality processes.
- Previous experience in healthcare, social care, or retail environments.
Why Helping Hands? We’re one of the UK’s leading home care providers, with a simple purpose: to make life easier for those we care for. Our Data & Insight team is central to that mission – helping the business make smart, data-driven decisions. You’ll join a collaborative, supportive team where you’ll be encouraged to develop your skills and where your work will directly contribute to improving care for thousands of families across the UK.
Data Analyst employer: Helping Hands Home Care
Contact Detail:
Helping Hands Home Care Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Helping Hands on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Analyst role.
✨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your SQL queries, dashboards, or any data visualisations you've created. This will help you stand out during interviews and demonstrate your analytical prowess.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data analysis. Think about how you can relate your answers back to the mission of Helping Hands and how your insights can make a difference.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Helping Hands team.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used it to uncover trends and insights in past projects. Don’t just list your skills; tell us how you’ve applied them!
Tell a Story with Data: When you describe your experience, focus on how you’ve transformed complex data into clear narratives. We love candidates who can bridge the gap between numbers and storytelling, so share examples of how your insights have driven decisions.
Be Personable: Remember, we’re looking for someone who enjoys working with people as much as data. In your application, let your personality shine through! Share experiences where you collaborated with stakeholders or presented findings to non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Helping Hands Home Care
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with querying large datasets and how you've used SQL to uncover trends. Practising some common SQL queries can help you feel more confident when discussing your technical abilities.
✨Showcase Your Data Storytelling
Prepare to demonstrate how you've transformed complex data into clear, actionable insights. Think of specific examples where your analysis led to strategic decisions. Being able to tell a compelling story with data will impress the interviewers and show them your value as a Data Analyst.
✨Engage with Stakeholders
Since this role involves collaboration with various stakeholders, be ready to discuss how you've worked with different teams in the past. Highlight your communication skills and how you've translated business questions into data-driven solutions. This will show that you can bridge the gap between technical and non-technical audiences.
✨Prepare for Process Improvement Discussions
Think about instances where you've supported process improvements or automated manual tasks. Be ready to share your experiences with data cleaning, validation, and visualisation. This will demonstrate your analytical mindset and attention to detail, which are crucial for the role.
