At a Glance
- Tasks: Analyse data to support individuals with learning disabilities and complex needs.
- Company: Join a mission-driven organisation dedicated to making a real-world impact.
- Benefits: Enjoy hybrid working options and a supportive work culture.
- Why this job: Be part of a team that transforms data into actionable insights for social good.
- Qualifications: No specific experience required; passion for data and social care is key.
- Other info: Opportunity to make a difference in people's lives through your analytical skills.
The predicted salary is between 28800 - 48000 £ per year.
Make a Real-World Impact with Data That Matters
Our client believes everyone should have the opportunity to lead a fulfilling life and their mission is to support individuals with learning disabilities and complex needs in achieving just that. We are looking for a Data Analyst to join their Systems, Data and Insight team to turn information into actionable insights.
Data Analyst employer: Tilt Recruitment Limited
Contact Detail:
Tilt Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data tools and software mentioned in the job description. Being able to demonstrate your proficiency in these tools during the interview can set you apart from other candidates.
✨Tip Number 2
Research the organisation's mission and values, especially their focus on supporting individuals with learning disabilities. Tailoring your conversation to show how your personal values align with theirs can create a strong connection.
✨Tip Number 3
Prepare examples of how you've used data to drive decisions or improve processes in previous roles. Be ready to discuss these examples in detail, as they will showcase your analytical skills and problem-solving abilities.
✨Tip Number 4
Network with current or former employees of the organisation on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and may even lead to a referral.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the specific responsibilities and skills required for the Data Analyst position. Tailor your application to highlight how your experience aligns with their mission of supporting individuals with learning disabilities.
Highlight Relevant Skills: Focus on showcasing your analytical skills, proficiency in data analysis tools, and any experience you have in social care or related fields. Use specific examples from your past work to demonstrate your capabilities.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for making a real-world impact through data. Mention how you can contribute to their mission and why you are excited about this opportunity.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Tilt Recruitment Limited
✨Understand the Mission
Before your interview, take some time to research the company's mission and values. Since they focus on supporting individuals with learning disabilities and complex needs, showing that you understand and resonate with their goals will set you apart.
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis to drive decisions in previous roles. Highlight any tools or methodologies you've employed, as this will demonstrate your technical proficiency and problem-solving abilities.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess how you would handle real-world data challenges. Think about potential issues in social care data management and be ready to explain how you would approach these situations.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready to ask. Inquire about the team dynamics, the types of data you'll be working with, or how success is measured in the role. This shows your genuine interest in the position and the organisation.