Data Analyst Apprentice - Fully Remote
- Employer
- Royal Society for Protection of Birds
- Location
- The Lodge, Sandy, SG19 2DL
- Salary
- £18,250.00 annually
- Closing date
- 12 Dec 2021
View more
- Specialism
- Other
- Sector
- Unspecified
- Role Type
- Apprenticeship, Higher
- Start Date
- December
- Duration
- Permanent
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Duties will incude:
Requirements and prospects
Desired skills
Personal qualities
Desired qualifications
You must have
Future prospects
- Throughout your apprenticeship, you'll work closely with multiple experienced data management professionals and mentors in an interactive, collaborative environment
- You'll learn the fundamentals of data cleansing, data management, data warehouses, and information analysis
- You will be introduced to additional concepts, skills and tools including: scripting in Database Structured Query Language (SQL) to access data, and presentation techniques using Power BI, Microsoft Excel skills for manipulating data, and agile principles for managing your work
Requirements and prospects
Desired skills
- Problem solving
- Teamwork
- Communication
Personal qualities
- Willingness to listen, understand and comprehend the problems that the business needs help with
- Strong problem solving, critical thinking, organization, and communication skills
- Ability to work collaboratively and contribute to an agile team environment
- Ability to think analytically in solving problems and be creative in identifying possible solutions
- Microsoft Office or Slack for holding conversations, chatting with people
- Communication tools like Outlook for managing emails and diaries
- Any scripting or programming experience
- Application development methodologies / techniques
Desired qualifications
You must have
- GCSE English & maths 4-9 (C-A*) or equivalent
- Level 3 qualification (A level, BTEC or equivalent)
Future prospects
- After yourApprenticeship, you can progress into any Junior Data Analyst, Data Scientist and Data engineer role. You'll have the skills to run insight analytical projects from beginning to end and work within a Data Analytics team
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