At a Glance
- Tasks: Support data analysis and improve processes to drive strategic goals.
- Company: Join the fastest-growing Awarding Organisation in the UK, committed to education.
- Benefits: Enjoy 25 days annual leave, healthcare benefits, and a supportive work environment.
- Other info: Hybrid working model with excellent career growth opportunities.
- Why this job: Make a real impact by turning data into actionable insights for education.
- Qualifications: Passion for data, strong analytical skills, and proficiency in Microsoft Excel.
The predicted salary is between 28000 - 28000 £ per year.
At AQA, we’re committed to advancing education and we’re committed to our people. As the largest provider of academic qualifications in the UK, we mark over 10 million exam papers each year and it’s our people who make this happen.
Training Qualifications UK is the fastest-growing Awarding Organisation in the UK and a market-leading End-Point Assessment Organisation. We work with over 500 schools, colleges, universities, and training providers across the world to provide qualification certificates, endorsements, and apprenticeships to over 150,000 learners.
We’re looking for a highly motivated Junior Data Analyst to join our growing Business Improvement team. This is an exciting opportunity for someone seeking growth as you will play a crucial part in steering data driven decision making and supporting our organisation's strategic goals. You will be responsible for collecting, cleansing, organising, and profiling data from various sources, ensuring its accuracy and reliability. Additionally, you will work closely with our Business Analysts and the wider Business Improvement and Finance teams to provide valuable insights and support the company's projects. Ideal candidates will have a strong background in data or science fields, coupled with a passion for data analysis and a keen eye for detail.
Key Responsibilities- Support the Business Improvement team in day-to-day tasks, including data collection, cleansing, organisation, and profiling across key platforms.
- Support in-depth data analysis to discover insights, identify trends, and recognise opportunities relevant to the apprenticeship and vocational sectors.
- Contribute to and maintain internal query documentation and data resources for both internal teams and external partners.
- Support the continuous improvement, revamping, and maintenance of existing dashboards to enhance accuracy and efficiency in operational reporting.
- Build and refine dashboard pages to actively monitor key SLAs and support internal delivery teams.
- Ensure data integrity and standardisation across all reports and dashboards, making improvements based on user feedback and best practices.
- Ensure compliance with regulatory requirements by managing data submissions and improving processes to meet standards set by governing bodies.
- Provide training and support to teams across the business and externally on how to use data dashboards, ensuring everyone can interpret and use data effectively.
- Support the Business Improvement team in identifying process improvement opportunities.
- Support other departments with ad-hoc data requests and related tasks as required.
- Synthesise complex datasets into high-level, word-based strategic analysis reports (such as market share analysis, competitor tracking, and provider risk summaries) to provide the executive team with clear, actionable insights.
- A keen interest in data, technology, and business improvement.
- Strong problem-solving and analytical skills, with a focus on building structured logic to work through roadblocks.
- Strong attention to detail and accuracy, including a focus on cleanly annotating code for long-term clarity.
- Enthusiasm to learn new things and take on challenges.
- Proficient in using Microsoft products particularly Excel with the ability to summarise and present complex data in an easy-to-understand format.
- Experience or understanding of data visualisation, data transformation, and workflow tools like: Power Automate, Power Query and Power BI.
- Training, Qualifications & Apprenticeships.
- Company sick pay upon completion of probation.
- 25 days annual leave plus 8 days Bank Holiday (33 in total).
- Additional annual leave day each year, after 2 years of continuous service (up to 28 days).
- An extra day off to celebrate your birthday.
- Annual Loyalty Bonus.
- Annual salary review.
- Bupa healthcare benefits.
- Employee Assistance Programme (EAP).
- NEST pension.
- Cycle-to-work scheme.
- A positive and supportive working environment.
- Comprehensive onboarding.
- A workplace that supports a healthy work/life balance.
We are an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Should you require any additional support during the recruitment process due to a disability, please contact us so we can assist you.
Training Qualifications UK - Junior Data Analyst in Sale employer: AQA Recruiting
At Training Qualifications UK, we pride ourselves on being a dynamic and inclusive employer that champions professional growth and development. Located in Sale, Manchester, our hybrid work model fosters a healthy work-life balance while offering comprehensive benefits such as generous annual leave, healthcare support, and continuous training opportunities. Join us to be part of a forward-thinking team dedicated to making a meaningful impact in the education sector.
StudySmarter Expert Advice🤫
We think this is how you could land Training Qualifications UK - Junior Data Analyst in Sale
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Training Qualifications UK - Junior Data Analyst in Sale
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 AQA Recruiting, 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 AQA Recruiting. 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 AQA Recruiting
✨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 AQA Recruiting!
✨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.
