About Us
Covering more trades than anyone else, Aspect is one of London’s largest property maintenance teams. We’re always ready to help, no matter what maintenance issue someone has, operating 24/7. After over 15 years of helping thousands of residential and commercial customers every month, we have ambitious plans to expand our business over the next 3 years. We’re looking for ambitious people to join us at this exciting time.
The Role
The Data Analyst will play a key role in supporting our business through data-driven insights and solutions. You’ll be responsible for collecting, analyzing, and interpreting complex data from multiple sources to help drive decision-making across various departments.
You will:
- Use tools like SQL, Python, Excel, Power BI, Tableau , and Salesforce to gather and analyze data.
- Develop and maintain interactive dashboards and reports to track key performance indicators (KPIs), operational efficiency, and customer trends.
- Collaborate with teams across the business to identify areas for improvement, optimize processes, and support business growth.
- Conduct detailed data analysis, including data mining, trend analysis, and predictive analytics to inform business decisions.
- Ensure data accuracy and integrity across all systems, implementing data quality checks and working with different departments to maintain consistent and accurate data inputs.
- Provide actionable insights through visualizations and presentations, making complex data understandable for non-technical stakeholders.
This is an exciting opportunity for someone with a strong analytical background and experience in leveraging data tools to support strategic decision-making in a fast-paced environment.
About You
To excel in this role, you should have strong technical skills, a passion for data, and the ability to turn numbers into actionable business insights. Key qualifications include:
- 2+ years of experience in data analysis or a similar role.
- Proficiency in SQL for data extraction and manipulation.
- Experience with Python for data analysis and automation of tasks.
- Strong skills in data visualization tools like Power BI and Tableau to create dynamic, interactive reports.
- Familiarity with Salesforce CRM or similar platforms to analyze customer and sales data.
- Advanced Excel skills for data modeling, forecasting, and reporting.
- Excellent problem-solving abilities, attention to detail, and a strong understanding of data governance principles.
- Strong communication skills with the ability to explain complex data insights to both technical and non-technical stakeholders.
Knowledge of the property maintenance or service industry is a plus but not required.
