At a Glance
- Tasks: Collect, organise, and evaluate data to drive business insights and improve decision-making.
- Company: Join Capita's Health Assessment Advisory Service, a leader in health assessments.
- Benefits: Competitive salary, 25 days holiday, volunteering days, and extensive employee benefits.
- Other info: Home-based role with opportunities for career growth and skill development.
- Why this job: Make a real impact by transforming data into actionable insights for better outcomes.
- Qualifications: Proficiency in Power BI, SQL, and data visualisation with strong analytical skills.
The predicted salary is between 40000 - 40000 £ per year.
We are now recruiting for a Data Analyst to join the Capita HAAS (Health Assessment Advisory Service) contact. The successful candidate will collect, organise and evaluate data from across the business to make informed decisions and improve business insight. This is a permanent home based role.
What you'll be doing:
- Development and continuous evolution of dashboards and performance reporting frameworks, ensuring delivery of clear, insight-led visibility of departmental performance against strategic objectives.
- Deliver intuitive, user-centric dashboards that provide actionable insight and highlight opportunities for performance improvement.
- Ensure solutions are accessible and impactful for both technical and non-technical stakeholders.
- Establish and maintain robust reporting governance, ensuring all processes, methodologies and outputs are fully documented, standardised and aligned to best practice.
- Support the integration and collation of data inputs from multiple business areas, ensuring consistency, integrity and alignment across the end-to-end reporting landscape.
- Support the development and adoption of Power BI solutions, embedding best practice in data visualisation, modelling and insight delivery across the organisation.
- Leverage Power Automate and associated technologies to drive automation, efficiency and standardisation of reporting and business processes.
What we're looking for:
- Deep technical expertise across Power Query, SQL, SSRS, Power BI and Power Automate, with a proven ability to design, optimise and scale robust end-to-end reporting and data solutions.
- Advanced capability in reverse engineering and modernising legacy reports and technical solutions, identifying opportunities to simplify, standardise and improve performance.
- Highly developed requirements elicitation and translation skills, with the ability to engage stakeholders to define, challenge and convert business needs into effective, scalable analytical solutions.
- Ability to translate complex data and analytical insight into clear, concise and commercially meaningful outputs for non-technical audiences, supporting informed decision-making.
- Ability to create and deliver compelling presentations to senior stakeholders.
- Excellent written, presentation and communication skills, with the ability to influence and engage stakeholders across all levels of the organisation.
- Innovative and improvement-focused mindset, with a track record of identifying and implementing new analytics, methodologies and tools to enhance insight capability.
- Advanced analytical and Excel skills, supporting detailed interrogation of data and the development of high-quality insight and reporting outputs.
- Experience operating within complex operational environments, with the resilience and adaptability to deliver under pressure while maintaining quality and accuracy.
About HAAS:
The Health Assessment Advisory Service (HAAS) arranges and carries out assessments for the Department for Work and Pensions (DWP) and the Department for Communities (DfC). The purpose of the assessment is to understand how an illness or disability affects a person’s daily life. After the assessment, the DWP/DfC makes the decision as to whether the individual will receive benefits.
What’s in it for you?
- A competitive salary of up to £40,000 p/a.
- 25 days’ holiday (rising to 27) with the opportunity to buy extra leave.
- The opportunity to take a paid day out of the office, volunteering for our charity partners or a cause of your choice.
- Auto-enrolment to our company pension, life assurance, a cycle2work scheme, 15 weeks’ fully paid maternity, adoption and shared parental leave, paternity pay of two weeks…and plenty more.
- Voluntary benefits designed to suit your lifestyle – from discounts on retail and socialising, to health & wellbeing, travel and technology.
- Access to our Employee Network Groups, which represent every strand of diversity and allow colleagues to connect and learn from each other on an open, inclusive platform.
- You’ll get the chance to follow your chosen career path anywhere in Capita. You’ll be joining a network of experienced, innovative and dedicated individuals across multiple disciplines and sectors. There are countless opportunities to learn new skills and develop in your career, and we’ll provide the support you need to do just that.
What we hope you’ll do next:
Choose ‘Apply now’ to fill out our short application, so that we can find out more about you.
Equal Opportunities:
At Capita, we’re committed to providing an inclusive, barrier-free recruitment process and working environment for everyone. We want everyone to have the best chance of succeeding as they move through their application and start their career with us. We are an equal opportunity and Disability Confident employer, we want to hear from you if you’d like to discuss any adjustments you might need during your recruitment process.
Please email reasonableadjustments@capita.com or call 07784 237318 and we’ll get back to you to discuss. For more information about equal opportunities and the types of adjustments we can offer, please visit the Capita Careers website. If you have a question that does not relate to adjustments during your recruitment process, please email our Talent Acquisition team - CPScareers@capita.com.
Location: Home-Based - GBR, United Kingdom
Time Type: Full time
Contract Type: Permanent
Data Analyst employer: Capita
Capita's Gas Safe Register is an exceptional employer, offering a supportive work culture that prioritises safety and employee well-being. With competitive benefits including a company car, generous holiday allowance, and opportunities for community engagement through volunteering, employees are encouraged to grow both personally and professionally in the vibrant Colchester area. The commitment to diversity and inclusion further enhances the workplace environment, making it a rewarding place for gas professionals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
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We think you need these skills to ace Data 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!
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How to prepare for a job interview at Capita
✨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!
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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!
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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 Capita!
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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.