Senior Data Analyst

Senior Data Analyst

Leeds Full-Time 32907 - 49361 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse and report on data within the Adult Social Care Workforce Data set.
  • Company: Skills for Care supports adult social care in England with workforce development and planning.
  • Benefits: Enjoy a competitive salary, training opportunities, and a commitment to diversity and inclusion.
  • Why this job: Join a team that shapes policy and improves social care through data insights and analysis.
  • Qualifications: Strong analytical skills and experience with software like Excel and SPSS are required.
  • Other info: We encourage applications from diverse backgrounds and offer support for applicants needing adjustments.

The predicted salary is between 32907 - 49361 £ per year.

Salary: £41,134.60 per annum

Hours: Full Time, 36 hours per week

Status: Permanent

Location: Leeds Office

Closing Date: 11.59pm, Wednesday 18 June 2025

Interview Date: Week commencing 30 June 2025

Skills for Care is the strategic workforce development and planning body for adult social care in England. We work with employers, Government and partners to ensure social care has the right people, skills and support required to deliver the highest quality care and support now and in the future.

Working in the Analysis team within Skills for Care's Workforce Intelligence unit, you will analyse and report on data held within the Adult Social Care Workforce Data set (ASC-WDS). The ASC-WDS is funded by the Department of Health and Social Care and is the major data collection on the adult social care workforce. It collects data about care-providing establishments as well as data about individual workers in this large and growing employment sector.

We are hiring for 2 new analysts to join the Analysis team. We work on a diverse range of projects and use a variety of software; you do not need to be an expert in all areas to begin with. Training will be provided, however experience of these software or similar are required along with strong analytical skills.

Analyst work will involve using a combination of Microsoft Excel and statistical packages (such as SPSS) to analyse datasets. Microsoft Word for creating and reviewing written reports. Data visualisation tools (such as Tableau and Power BI) are also used to provide insights for internal and external stakeholders.

Leading on analysis, data visualisation and report writing projects, you will work in an Agile project environment contributing to delivery, planning and new innovations within the team. Strong interpersonal skills are required to operate effectively within the team and with a variety of partners and clients.

You will be part of a team that provides vital information that is used by central government for policy shaping and at a local level by decision makers and workforce planners. You will take a lead role in the delivery of analysis, data visualisation and report writing projects within the workforce intelligence team.

If you are interested in this role, please access the full job description for further information and we look forward to receiving your application.

At Skills for Care, we are committed to creating a culture of Belonging, where all of our People are able to contribute to their full potential. All our People are expected to contribute towards the achievement of our aspirations for equality, equity, diversity and inclusion. To find out more please check our website.

At Skills for Care, we want our People to be representative of the society we support, this includes all equality characteristics such as age, ethnicity, disability, sexual orientation, gender reassignment, religion or belief. This lived experience from a diverse group of people helps us with all the work that we do and ultimately supports the social care sector to provide the best quality care. We encourage applications from, but not limited to, people from minoritised ethnic backgrounds, people who identify as LGBTQ+ and people with disabilities. Candidates will always be selected based on experience and potential.

Information about reasonable adjustments: We want all applicants to be able to fully participate in our selection processes. We welcome requests for adjustments to our recruitment and selection processes from applicants with disabilities, impairments, or health conditions, and will always consider support available in the recruitment process. Please contact our People Team via email to discuss any adjustments that you may need.

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Contact Detail:

Skills For Care Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analyst

✨Tip Number 1

Familiarise yourself with the Adult Social Care Workforce Data set (ASC-WDS) and its significance in shaping policies. Understanding the context of the data you'll be working with will help you demonstrate your enthusiasm and knowledge during the interview.

✨Tip Number 2

Brush up on your skills with Microsoft Excel, SPSS, Tableau, and Power BI. Being able to discuss specific projects or experiences where you've used these tools will show your practical expertise and readiness for the role.

✨Tip Number 3

Prepare to showcase your analytical thinking and problem-solving abilities. Think of examples from your past work where you successfully analysed data and provided insights that influenced decision-making.

✨Tip Number 4

Highlight your interpersonal skills and experience working in a team environment. Be ready to discuss how you've collaborated with others on projects, as this role requires strong teamwork and communication.

We think you need these skills to ace Senior Data Analyst

Strong Analytical Skills
Proficiency in Microsoft Excel
Experience with Statistical Packages (e.g., SPSS)
Data Visualisation Skills (e.g., Tableau, Power BI)
Report Writing Skills
Attention to Detail
Interpersonal Skills
Agile Project Management
Data Interpretation
Communication Skills
Problem-Solving Skills
Ability to Work with Diverse Teams
Adaptability to New Software and Tools
Understanding of Workforce Data Analysis

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities of a Senior Data Analyst at Skills for Care. Familiarise yourself with the Adult Social Care Workforce Data set and the tools mentioned in the job description, such as Microsoft Excel, SPSS, Tableau, and Power BI.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your analytical skills, experience with data visualisation tools, and any previous work in similar roles or sectors.

Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your passion for social care and how your background can contribute to Skills for Care's mission. Mention specific projects or experiences that showcase your analytical abilities.

Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and 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 Skills For Care

✨Know Your Data Tools

Familiarise yourself with the software mentioned in the job description, such as Microsoft Excel, SPSS, Tableau, and Power BI. Be prepared to discuss your experience with these tools and how you've used them in past projects.

✨Showcase Analytical Skills

Prepare examples of how you've successfully analysed data in previous roles. Highlight specific projects where your analytical skills led to actionable insights or improvements, especially in a social care context.

✨Understand the Role's Impact

Research how the role of a Senior Data Analyst contributes to the adult social care sector. Be ready to discuss how your work can influence policy shaping and decision-making at both local and national levels.

✨Emphasise Interpersonal Skills

Since strong interpersonal skills are crucial for this role, think of examples where you've effectively collaborated with team members or stakeholders. Be prepared to discuss how you handle feedback and contribute to a positive team environment.

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