—
Please note that this is an apprenticeship position and therefore anyone with more than six months professional experience working as a data analyst or who holds a degree or Master’s degree in a subject such as Data Science, Business Analytics, Maths will not be eligible. You will also need to commit to completing a Level 4 Data Analyst Apprenticeship. The Role As a data analyst, you would collect numerical information and present results. Usually this would be in the form of reports, graphs and charts. The data can involve Customers, Tendering, Revenue & Costs or Logistics and be used to boost productivity / revenue, improve decision making and reduce costs. This is a brand new role in a rapidly growing business, so you will be working with the Finance Director and Commercial manager to build a reporting structure from the ground up. You will also get the opportunity to enter into a Data apprenticeship with formal study and training. You will gain / improve skills in SQL, Data visualisation, Advanced BI and Machine learning. Key Responsibilities • Work with Business management to design & build reporting dashboards. • Interpret data, analyse results and provide ongoing reports with actionable output. • Help to automate manual processes within the Commercial, Finance and Operational teams involving data. • Identify, analyse and interpret trends or patterns in complex datasets. • Locate and define new process improvement opportunities. Candidate Profile • A proven interest in a career in data analysis (this could be from formal studies, self study or the workplace) • A proven passion for data / numbers (this could be from formal studies, self study or the workplace) • Proficient in Microsoft Office including Word, Excel, and Outlook. • Open minded and supportive team player with strong communication skills. • Proficient at prioritising tasks and consistently meeting deadlines. • Ability to identify process improvements and help implement solutions. • Ability to work as part of a team and independently. • An eye for detail and commercially aware. • Experience of using data tools such as SQL, Python, PowerBI (or equivalent) preferable but not essential. Essential Qualifications • 7 GCSE’s (or equivalent) at grades 9-4 or A-C including English and Mathematics • 3 A Levels at grades A - C (or equivalent) in STEM subjects Applications are encouraged from graduates looking for an apprenticeship route to a Data Analytics career. Salary: £25,000 Location: Podington (NN29 7XA) Please note, this is an office based role and the location is rural with no public transport options. Therefore, the successful candidate will be required to have access to a personal vehicle and it is anticipated that the successful candidate will have a commute of no more than 1hr 15 minutes. The Company We are entering a period of significant growth and are seeking likeminded people who aspire to grow with us and be part of our exciting journey. In return, we offer a collaborative working environment where we actively encourage and support continuous improvement and career development. By applying you are agreeing to Digital Native retaining your information, sharing this with potential employers and contacting you about apprenticeship opportunities that we feel you could be interested in. Candidates that have read and followed the advice in our CV Guide are more likely to be successful...
| Skill | Source | Confidence |
|---|---|---|
| Excel | llm_hard |
100%
|
| Dashboard Creation | llm_hard |
100%
|
| Report Generation | llm_hard |
100%
|
| Power BI | llm_hard |
100%
|
| SQL | llm_hard |
100%
|
| Data Extraction | llm_hard |
80%
|
| Python | llm_hard |
80%
|
| Business Analytics | llm_hard |
80%
|
| Skill | Source | Confidence |
|---|---|---|
| Collaboration | llm_soft |
100%
|
| Learning Agility | llm_soft |
100%
|
| Written Communication | llm_soft |
100%
|
| Teamwork | llm_soft |
100%
|
| Attention to Detail | llm_soft |
100%
|
| Prioritization | llm_soft |
80%
|
| Critical Thinking | llm_soft |
80%
|
| Problem-Solving | llm_soft |
80%
|
| Verbal Communication | llm_soft |
80%
|
| Adaptability | llm_soft |
80%
|
| Time Management | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Data Analyst Apprentice | extracted | 4673 | 2026-03-22 00:47 | |
| Data Analyst Apprentice | classified | 486 | 2026-03-21 19:58 | |
| trainee data scientist in United Kingdom | gb | duplicate | 9210 | 2026-03-21 17:22 |
| graduate data scientist in United Kingdom | gb | duplicate | 10746 | 2026-03-21 17:19 |
| graduate data analyst in United Kingdom | gb | duplicate | 20983 | 2026-03-21 16:45 |
| junior data analyst in United Kingdom | gb | processed | 16679 | 2026-03-21 16:10 |
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"job_description": "Please note that this is an apprenticeship position and therefore anyone with more than six months professional experience working as a data analyst or who holds a degree or Master’s degree in a subject such as Data Science, Business Analytics, Maths will not be eligible.\n\nYou will also need to commit to completing a Level 4 Data Analyst Apprenticeship.\n\nThe Role\n\nAs a data analyst, you would collect numerical information and present results. Usually this would be in the form of reports, graphs and charts. The data can involve Customers, Tendering, Revenue & Costs or Logistics and be used to boost productivity / revenue, improve decision making and reduce costs.\n\nThis is a brand new role in a rapidly growing business, so you will be working with the Finance Director and Commercial manager to build a reporting structure from the ground up.\n\nYou will also get the opportunity to enter into a Data apprenticeship with formal study and training. You will gain / improve skills in SQL, Data visualisation, Advanced BI and Machine learning.\n\nKey Responsibilities\n• Work with Business management to design & build reporting dashboards.\n• Interpret data, analyse results and provide ongoing reports with actionable output.\n• Help to automate manual processes within the Commercial, Finance and Operational teams involving data.\n• Identify, analyse and interpret trends or patterns in complex datasets.\n• Locate and define new process improvement opportunities.\n\nCandidate Profile\n• A proven interest in a career in data analysis (this could be from formal studies, self study or the workplace)\n• A proven passion for data / numbers (this could be from formal studies, self study or the workplace)\n• Proficient in Microsoft Office including Word, Excel, and Outlook.\n• Open minded and supportive team player with strong communication skills.\n• Proficient at prioritising tasks and consistently meeting deadlines.\n• Ability to identify process improvements and help implement solutions.\n• Ability to work as part of a team and independently.\n• An eye for detail and commercially aware.\n• Experience of using data tools such as SQL, Python, PowerBI (or equivalent) preferable but not essential.\n\nEssential Qualifications\n• 7 GCSE’s (or equivalent) at grades 9-4 or A-C including English and Mathematics\n• 3 A Levels at grades A - C (or equivalent) in STEM subjects\n\nApplications are encouraged from graduates looking for an apprenticeship route to a Data Analytics career.\n\nSalary: £25,000\n\nLocation: Podington (NN29 7XA) Please note, this is an office based role and the location is rural with no public transport options. Therefore, the successful candidate will be required to have access to a personal vehicle and it is anticipated that the successful candidate will have a commute of no more than 1hr 15 minutes.\n\nThe Company\n\nWe are entering a period of significant growth and are seeking likeminded people who aspire to grow with us and be part of our exciting journey. In return, we offer a collaborative working environment where we actively encourage and support continuous improvement and career development.\n\nBy applying you are agreeing to Digital Native retaining your information, sharing this with potential employers and contacting you about apprenticeship opportunities that we feel you could be interested in.\n\nCandidates that have read and followed the advice in our CV Guide are more likely to be successful...",
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