Data Analyst

Reed; Leeds; Remote; GBP 28,000 - 33,000; Full time

Job summary

A health and wellbeing service provider is seeking a Junior Data Analyst to work fully remotely. The ideal candidate will have strong SQL and Excel skills, critical thinking abilities, and experience in data analysis. This role involves managing data projects, analyzing trends, and communicating insights to the team. Benefits include 25 days of annual leave, a supportive work culture, and expenses covered for work-related costs.

Benefits

25 days annual leave plus 8 bank holidays

Employee Assistance Programme (EAP)

Expenses covered for work-related costs

"Family First" culture promoting work-life balance

Annual benefit pack

Qualifications

• Proficiency in SQL for data querying and management.
• Solid Excel skills including data cleaning and analysis.
• Experience with programming for data manipulation is a plus.
• Ability to evaluate data critically and identify patterns.
• Experience in effective communication of complex findings.

Responsibilities

• Manage workload autonomously with minimal supervision.
• Identify and manage tasks proactively.
• Utilize SQL for data querying.
• Employ Excel for analysis and visualizations.
• Communicate findings effectively to team members.

Skills

Strong SQL skills for database management

Proficiency in Excel including pivot tables

Familiarity with data visualization tools like Power BI

Knowledge of programming languages such as Python or R

Critical thinking

Problem-solving

Attention to detail

Excellent communication skills

Effective teamwork capabilities

Independence in managing tasks

Education

Degree in a quantitative field such as mathematics, statistics, computer science, or economics

Tools

Power BI

SQL

Excel

Python

R

Job description

Overview

JUNIOR DATA ANALYST

• Location: Fully Remote
• Hours: Monday to Friday, 9am–5pm (Flexible)
• Salary: £28,000 (flexible depending on experience)
• Start Date: ASAP

Join an integrated health and wellbeing service that partners with the NHS to deliver essential support across various health initiatives. This fully remote role offers the opportunity to be part of a small, dynamic digital team focused on making a significant impact in public health.

Day-to-day of the role:

• Manage your own workload with high levels of autonomy and minimal supervision.
• Proactively identify, initiate, and manage tasks and projects.
• Utilize SQL for querying databases to retrieve and manipulate data.
• Employ Excel skills for data cleaning, analysis, creating formulas, and generating visualizations, including pivot tables.
• Use data visualization tools like Power BI (desirable but not essential) and programming languages like Python or R for data manipulation, statistical analysis, and visualization.
• Communicate findings and insights effectively to both technical and non-technical team members.

Required Skills & Qualifications

• Technical Skills:
  • Strong SQL skills for database management.
  • Proficiency in Excel including pivot tables.
  • Familiarity with data visualization tools like Power BI.
  • Knowledge of programming languages such as Python or R is highly beneficial.
• Analytical & Cognitive Skills:
  • Critical thinking: Ability to evaluate data, identify patterns, and think logically.
  • Problem-solving: Skill in addressing complex data issues and proposing actionable solutions.
  • Attention to detail: Crucial for ensuring accuracy in data analysis and reporting.
• Soft Skills:
  • Excellent communication skills to convey findings clearly.
  • Effective teamwork capabilities, suitable for remote collaboration.
  • Independence in managing tasks and workload.
• Qualifications & Experience:
  • A degree in a quantitative field such as mathematics, statistics, computer science, or economics is often preferred.

Benefits

• 25 days annual leave plus 8 bank holidays.
• Employee Assistance Programme (EAP).
• Expenses covered for work-related costs.
• "Family First" culture promoting work-life balance.
• Annual benefit pack.

To apply for this Junior Data Analyst position, please submit your CV and a cover letter detailing your relevant experience and why you are interested in this role.