Job Description Summer Internship - Data Analytics Engineer
Job Posting Function: IT and technology Legal Entity: Healthspan Limited (HL) Job Type: Internship Job Location (Short): Guernsey Job Posting City: Cornwall, Essex, Glasgow, London, North Yorkshire, Tenbury Wells, Viby J, West Yorkshire, Worcestershire, Tamper, Bromsgrove, Harrogate, St Ives, Cumbernauld, Bodmin, Lincolnshire, Wakefield, Barking
Job Title: Data Analytics Engineer Department: Business Intelligence Reporting to: Business Intelligence Team Lead Location: Guernsey Job Type: Full Time (Mon- Fri) Contract Type: Temporary Internship (4 weeks)
Profile of Role You'll join our vibrant team of data engineers and talented analysts who transform raw numbers into the vital insights that drive our entire business. You'll get hands-on experience within the Microsoft Fabric stack, building sleek Power BI reports and exploring data modelling across our Marketing, CRM, Call Centre and Warehouse departments to name a few!. While our experts will offer some mentoring, you'll take on a mini-project, giving you the chance to work autonomously and finish the internship with a standout achievement to feature on your CV.
The Individual Don't worry if you aren't a coding pro yet-we value creativity and problem solving over perfect technical skills. You will need good numeracy and a grasp of basic statistics to succeed. You'll need a thirst for learning how to query data with SQL, experiment with Python or PySpark in notebooks, and craft DAX measures for semantic models. If you're an A-Level or University student who is a self-starter, loves solving puzzles, and want to flex your technical and creative muscles in the real world, we'd love to meet you!
Key Tasks & Responsibilities • Power BI report drafting • Data Modelling • Progressing and managing your mini-project • Presenting your mini-project to the team
Personal Specification • Math/Statistical focus • Some coding experience • Appreciation for tabular data (Databases or Data-frames) • Interest in data and data visualisation • Good communicator • Good initiative and autonomy
Desirable Criteria • SQL or Python experience • Data Modelling and DAX code • Power BI or other DataViz tools • Awareness of marketing and ecommerce
Job Title: Data Analytics Engineer Department: Business Intelligence Reporting to: Business Intelligence Team Lead Location: Guernsey Job Type: Full Time (Mon- Fri) Contract Type: Temporary Internship (4 weeks)
Profile of Role You'll join our vibrant team of data engineers and talented analysts who transform raw numbers into the vital insights that drive our entire business. You'll get hands-on experience within the Microsoft Fabric stack, building sleek Power BI reports and exploring data modelling across our Marketing, CRM, Call Centre and Warehouse departments to name a few!. While our experts will offer some mentoring, you'll take on a mini-project, giving you the chance to work autonomously and finish the internship with a standout achievement to feature on your CV.
The Individual Don't worry if you aren't a coding pro yet-we value creativity and problem solving over perfect technical skills. You will need good numeracy and a grasp of basic statistics to succeed. You'll need a thirst for learning how to query data with SQL, experiment with Python or PySpark in notebooks, and craft DAX measures for semantic models. If you're an A-Level or University student who is a self-starter, loves solving puzzles, and want to flex your technical and creative muscles in the real world, we'd love to meet you!
Key Tasks & Responsibilities • Power BI report drafting • Data Modelling • Progressing and managing your mini-project • Presenting your mini-project to the team
Personal Specification • Math/Statistical focus • Some coding experience • Appreciation for tabular data (Databases or Data-frames) • Interest in data and data visualisation • Good communicator • Good initiative and autonomy
Desirable Criteria • SQL or Python experience • Data Modelling and DAX code • Power BI or other DataViz tools • Awareness of marketing and ecommerce
Req ID: 13627