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Apprentice Data AnalystinBlackpoolinBlackpoolPUBLISHED FRI 8 NOV 2024

 PERMANENT 

FCMSFollow FCMS

Gain practical experience while working towards a Level 4 Higher Apprenticeship, enhancing employability skills.
Work within a supportive team environment alongside other apprentices, fostering collaboration and skill-sharing.
Engage with a wide variety of data-related tasks, including data extraction, analysis, and reporting, leading to diverse learning opportunities.
Opportunity to build and maintain relationships with key stakeholders, enhancing communication and interpersonal skills.
Access to and training in advanced tools like Microsoft Power BI, allowing for skill development in data visualization and reporting.
Involvement in leading data projects and initiatives, providing leadership experience early in your career.
Commitment to professional development through mandatory training in safeguarding and continuous learning opportunities.
Job Summary: Apprentice Data Analyst at FCMS, Blackpool
FCMS is seeking an enthusiastic Apprentice Data Analyst to join their Data Team at Newfield House while pursuing a Level 4 Higher Apprenticeship. The role requires working 37 hours per week at a salary of £12.07 per hour, typically involving one day of study release.
Key responsibilities include:
  • Extracting, analyzing, and reporting data using tools like Microsoft Power BI.
  • Creating and maintaining accurate and accessible data reports for submission to stakeholders.
  • Building relationships with key stakeholders to enhance data confidence.
  • Leading data-related projects, such as training and meetings.
  • Addressing data quality issues promptly and analyzing trends to inform business decisions.
  • Collaborating with the Q&R team to ensure compliance with information governance policies.
  • Demonstrating a willingness to learn and grow in data management skills.
The position is committed to inclusivity and safeguarding, with mandatory training and background checks in place. The organization adheres to the Disability Confident Employer scheme.
Gain practical experience while working towards a Level 4 Higher Apprenticeship, enhancing employability skills.
Work within a supportive team environment alongside other apprentices, fostering collaboration and skill-sharing.
Engage with a wide variety of data-related tasks, including data extraction, analysis, and reporting, leading to diverse learning opportunities.
Opportunity to build and maintain relationships with key stakeholders, enhancing communication and interpersonal skills.
Access to and training in advanced tools like Microsoft Power BI, allowing for skill development in data visualization and reporting.
Involvement in leading data projects and initiatives, providing leadership experience early in your career.
Commitment to professional development through mandatory training in safeguarding and continuous learning opportunities.

Useful skills for an Apprentice Data Analyst:
To work as an Apprentice Data Analyst in the UK, you will typically need a mix of technical, analytical, and interpersonal skills. Here’s a breakdown of the key skills that are often required or beneficial:
Technical Skills:
1. Excel Proficiency: Strong skills in Microsoft Excel for data manipulation, analysis, and visualization.
2. Statistical Knowledge: Understanding of basic statistics, including measures of central tendency, variance, and statistical tests.
3. Data Visualization Tools: Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio to present data in an accessible format.
4. Database Management: Basic understanding of SQL (Structured Query Language) for querying databases and extracting data.
5. Programming Skills: Knowledge of programming languages such as Python or R can be advantageous for data analysis and manipulation tasks.
6. Data Cleaning and Preparation: Skills in cleaning and preprocessing data to ensure accuracy and consistency for analysis.
Analytical Skills:
1. Problem-Solving: Ability to think critically and analytically to interpret data and derive meaningful insights.
2. Attention to Detail: A keen eye for detail to spot errors and inconsistencies in data.
3. Mathematical Skills: Strong mathematical foundations to handle data calculations and statistical analyses.
Interpersonal Skills:
1. Communication Skills: Ability to communicate data insights clearly and effectively, both verbally and in written form, to non-technical stakeholders.
2. Team Collaboration: Working well with others, as data analysts often collaborate with different departments to understand their data needs.
3. Adaptability: Ability to learn quickly and adapt to new tools, technologies, and methodologies as they arise.
Personal Attributes:
1. Curiosity: A natural curiosity about data and a desire to explore and understand patterns and trends.
2. Time Management: Skill in managing time and prioritizing tasks effectively to handle multiple projects or deadlines.
Educational Background:
1. Relevant Qualifications: While not always mandatory, having A-levels or equivalent qualifications in subjects like mathematics, statistics, or computer science can be advantageous. There are also specific apprenticeship programs that might require certain educational background or entry requirements.
Additional Skills:
1. Familiarity with Analytics Software: Experience with tools like SAS, SPSS, or Google Analytics can also be beneficial.
2. Basic Knowledge of Business Concepts: Understanding business analytics principles can help in understanding how data impacts business decisions.
 


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