Data Analyst – Work From Home

Environmental Career Center; Remote; GBP 30,000 - 50,000; Full time

Job summary

A leading environmental consultancy based in the UK is seeking a detail-oriented Data Analyst to join their remote team. This position involves analyzing complex data sets to provide actionable insights that support business decision-making across various departments. The ideal candidate will possess a Bachelor's degree in a relevant field and experience with data analysis tools. The role promises flexibility, competitive salary, and opportunities for professional growth in a collaborative work environment.

Benefits

Flexibility and work-life balance

Competitive salary

Performance-based bonuses

Professional growth opportunities

Cutting-edge tools and technologies

Generous holiday allowance

Qualifications

• Detail-oriented and analytical mindset is essential.
• Proven experience in a similar analytical role is required.
• Ability to work effectively in a remote setting.

Responsibilities

• Analyze complex data sets to identify trends.
• Develop dashboards and reports for business stakeholders.
• Collaborate with teams to deliver solutions.
• Ensure data accuracy and integrity across sources.
• Conduct ad-hoc data investigations and provide recommendations.

Skills

Data analysis

SQL

Excel

Data visualization software

Analytical thinking

Communication skills

Statistical analysis

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field

Tools

Tableau

Power BI

Python

R

Job description

About the Role

We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team remotely from anywhere within the UK. This role offers an exciting opportunity to leverage data to drive strategic decisions, optimize business performance, and contribute to meaningful projects across multiple departments.

As a Data Analyst, you will play a crucial part in transforming raw data into actionable insights, helping the organization stay competitive and responsive in a fast-paced environment.

Key Objectives

• Analyze complex data sets to identify trends, patterns, and opportunities for growth.
• Develop and maintain dashboards and reports to support business stakeholders.
• Collaborate with cross-functional teams to understand data needs and deliver insightful solutions.
• Ensure data accuracy, integrity, and consistency across various sources.

Responsibilities

• Collect, process, and analyze data from multiple internal and external sources.
• Create clear and concise reports, visualizations, and presentations for diverse audiences.
• Identify key metrics and develop KPIs to measure business performance.
• Work closely with IT and business units to implement data-driven strategies.
• Conduct ad-hoc data investigations and provide actionable recommendations.Maintain documentation of data processes, methodologies, and best practices.
• Stay current with industry trends and emerging data analysis tools and techniques.

Qualifications & Skills

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Proven experience as a Data Analyst or in a similar analytical role.
• Proficiency in data analysis tools such as SQL, Excel, and data visualization software (e.g., Tableau, Power BI).
• Strong analytical thinking with the ability to interpret complex data sets.
• Excellent communication skills to explain data insights clearly to non-technical stakeholders.
• Experience with statistical analysis and programming languages like Python or R is a plus.
• Ability to work independently in a remote setting while managing priorities effectively.

Benefits

• Fully remote position offering flexibility and work-life balance.
• Competitive salary and performance-based bonuses.
• Opportunities for professional growth and training.
• Collaborative and inclusive company culture.
• Access to cutting-edge tools and technologies.
• Generous holiday allowance and pension scheme.

Only UK candidates can apply. Please send your CV to: [e-mail]