At a Glance
- Tasks: Join our educational research team as a statistician, supporting various research and evaluation projects.
- Company: AlphaPlus specializes in education services, focusing on standards, assessment, and certification.
- Benefits: Enjoy hybrid working, enhanced sick pay, 25 days leave, and a discretionary profit-related bonus scheme.
- Why this job: Make an impact in education while developing your statistical skills in a supportive environment.
- Qualifications: Master's degree in statistics or BSc with two years' experience; coding skills in R are a plus.
- Other info: Flexible working arrangements may be considered; travel opportunities included.
The predicted salary is between 28800 - 43200 £ per year.
Job Description
Permanent full-time, 37.5 hours per week\\n\\nOffice-based in Manchester\\n\\nClosing date for applications: Tuesday 3 June at 9.00 am\\n\\nWe are currently seeking an enthusiastic individual to join our educational research team as a statistician, to support a range of research and evaluation projects.\\n\\nAlphaPlus is an education service business specialising in standards, assessment and certification. We help our clients design, develop, deploy and evaluate qualifications and their underpinning assessments. AlphaPlus is a wholly owned subsidiary of AQA Education\\n\\nThe statistician will be a specialist in the technical area of statistics or quantitative research, psychometrics or data science, who will work within the research team to provide high quality statistical outputs contributing to AlphaPlus educational research and consultancy services.\\n\\nCandidates must have:\\n\\n * statistics knowledge at Master’s degree level or a BSc with a minimum of two years’ experience\\n\\n * experience in coding statistical analyses (in R, SAS, SPSS or similar software).
Please note ability to code in R, though helpful, is not essential for consideration for the role; appointees without coding skills in R will be expected to learn to code in R on taking up the post\\n\\n * the ability to communicate effectively with external and internal customers.\\n\\nSome project management skills and knowledge of classical test theory, item response theory, DIF analysis, and regression analysis techniques are desirable, as is working experience as a statistician/junior analyst at a research body (ideally in education).\\n\\nBenefits include:\\n\\n * discretionary profit related bonus scheme\\n\\n * NEST workplace pension scheme – tier 1\\n\\n * enhanced sick pay cover\\n\\n * enhanced maternity/parental leave\\n\\n * 25 days paid leave plus the eight statutory bank holidays\\n\\n * commitment to developing the expertise of our employees.\\n\\nThe position is permanent, full-time working 37.5 hours per week Monday to Friday and is Manchester office based. Part-time/job share/other flexible working arrangements may be considered for the right candidate. The company offers hybrid working (two days a week minimum in the office, with three days working at home).
The exact allocation of office-based days is decided by the appointee’s manager, although flexibility remains our policy and approach.\\n\\nThe role will also involve national and occasional international travel, potentially including working in customer offices.\\n\\nPlease note that sponsorship under the UK government’s skilled worker sponsorship scheme is not available.\\n\\nShortlisted candidates will be invited to undertake a coding test and to an interview subject to satisfactory completion of the test, both taking place in the week commencing 9 June 2025\\n\\nTo apply:\\n\\nPlease follow the application instructions on the AlphaPlus website and complete the online application form located there. Applications submitted to CV-Library will be referred back to the sender
Statistician employer: AlphaPlus
Contact Detail:
AlphaPlus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician
✨Tip Number 1
Familiarize yourself with the specific statistical methods and theories mentioned in the job description, such as classical test theory and item response theory. This knowledge will not only help you during the interview but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your coding skills, especially in R, SAS, or SPSS. Even if R coding isn't essential for the role, showing that you're proactive about learning it can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your previous experience in educational research or consultancy. Highlight any projects where you applied statistical analyses, as this will showcase your relevant expertise and ability to contribute to AlphaPlus's mission.
✨Tip Number 4
Since the role involves communication with both internal and external customers, practice articulating complex statistical concepts in a clear and accessible manner. This skill will be crucial during your interview and in your future role.
We think you need these skills to ace Statistician
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the statistician position at AlphaPlus. Understand the key responsibilities and required skills, especially in statistics, coding, and project management.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in statistical analysis, particularly any work with R, SAS, or SPSS. Mention specific projects where you applied your statistical knowledge, especially in educational contexts.
Showcase Communication Skills: Since effective communication is crucial for this role, provide examples in your application that demonstrate your ability to communicate complex statistical concepts to both technical and non-technical audiences.
Prepare for the Coding Test: As shortlisted candidates will undertake a coding test, brush up on your coding skills in relevant statistical software. Familiarize yourself with common statistical analyses and practice coding problems to ensure you're ready.
How to prepare for a job interview at AlphaPlus
✨Showcase Your Statistical Knowledge
Make sure to highlight your educational background and any relevant experience in statistics or quantitative research. Be prepared to discuss specific projects where you applied statistical methods, especially those related to education.
✨Demonstrate Coding Proficiency
Even though coding in R is not essential, it's beneficial to show your familiarity with statistical software like SAS or SPSS. If you have experience coding, be ready to share examples of analyses you've conducted and the impact they had on your projects.
✨Communicate Effectively
Since the role involves interaction with both internal and external customers, practice articulating complex statistical concepts in a clear and concise manner. Think of examples where you successfully communicated findings to non-technical stakeholders.
✨Be Open About Flexibility
Discuss your preferences for flexible working arrangements openly during the interview. Since the company values flexibility, showing that you're adaptable and willing to collaborate on office days can make a positive impression.