Business Data Analyst

LondonEnergy; City Of London; Hybrid; GBP 45,000 - 55,000; Full time

Job summary

A leading waste management company is seeking a Business Data Analyst to bring data to life across teams. The role involves ensuring data quality, delivering training, and creating actionable insights. The ideal candidate has a STEM degree and proficiency in data analysis and visualization tools like Power BI and Excel. The position offers a full-time, hybrid working environment with a salary between £45,000 and £55,000.

Benefits

Private Medical & Life Insurance

Company Pension Scheme

Annual Leave Package

Employee Recognition Scheme

Access to Employee Assistance Programme (EAP)

Qualifications

• Proficient in data analysis, cleansing, manipulation, and visualization.
• Experience as a business and data analyst in a change-heavy environment.
• Strong interpersonal skills to communicate technical concepts clearly.

Responsibilities

• Act as the main point of contact for operational teams regarding data needs.
• Deliver training and support to improve data literacy.
• Conduct data analysis to identify insights and support data quality.

Skills

Data analysis

Data visualization

Data cleansing

Interpersonal skills

Training and coaching

Education

Honours Degree in a STEM subject

Tools

Power BI

Excel

Job description

Overview

• Job Title: Business Data Analyst
• Type: Full time, Permanent & Hybrid
• Salary: £45,000 - £55,000 depending on experience
• Location: LondonEnergy EcoPark, Edmonton

About LondonEnergy:

LondonEnergy operates the second largest waste contract in the UK, handling and processing nearly 750,000 tonnes of London’s waste every year. We have a dedicated team of people working across our various North London sites, making a positive difference to the environment and the local community.

By processing household waste at our facility, we produce enough waste to energy to power 80,000 homes every year and recycle 70% of items through our Reuse and Recycling Centres.

About the role:

As a Business Data Analyst with a focus on data engagement, your role will be to bring the data to life with business. You’ll spend time with teams across LEL, helping them understand what data is available, how to use it effectively, and how it can shape better decision making. You’ll work closely with the Data Manager to ensure that data is in good quality, new dashboards, reports, and processes are designed around real user and the business needs—and that staff feel confident using them.

This role is a unique opportunity to sit at the heart of that transformation, working directly with teams across the organisation to help embed change, build understanding, and turn data into actions.

Responsibilities

• Act as the main point of contact for operational teams, understanding their data needs and promoting data-driven decision making.
• Deliver training, support, and coaching to improve data literacy and confidence in using data tools.
• Lead discovery sessions to gather reporting requirements and translate them into clear report/dashboard specifications.
• Collaborate with technical teams to design standardised, user-friendly, and actionable reports.
• Help teams interpret reports, extract insights, and troubleshoot or enhance data use where needed.
• Conduct data analysis to identify insights, define and monitor data quality metrics, and support solutions to data issues.
• Contribute to continuous improvement by evaluating tool usage, identifying training needs, and escalating data/process issues.

Qualifications

• Honours Degree in a STEM subject.
• Proficient in data analysis, cleansing, manipulation, and visualization using tools like Power BI and Excel.
• Experience as a business and data analyst, able to use the data analysis process to drive business impact, or similar roles in a change-heavy environment.
• Strong interpersonal skills with the ability to communicate technical concepts clearly to non-technical audiences.
• Skilled in gathering requirements and translating them into actionable insights and reports.
• Comfortable in low data maturity settings and experienced in coaching, training, and guiding others through change.
• Knowledge of data governance, quality issues, and change management principles.

Benefits

• Private Medical & Life Insurance
• Company Pension Scheme
• Annual Leave Package
• Employee Recognition Scheme
• Access to Employee Assistance Programme (EAP)
• + Many more benefits

Early application is encouraged as we will review applications throughout the advertising period and reserve the right to close the advert early.