Business Intelligence Analyst
3 days ago
Job Overview
We are Aspect, a leading property maintenance company in London, seeking a skilled Business Intelligence Analyst to join our team. As a Business Intelligence Analyst, you will play a key role in supporting our business growth through data-driven decision-making.
You will be responsible for collecting, analyzing, and interpreting complex data from multiple sources to support various departments. Your key responsibilities will include:
- Using tools like SQL, Python, Excel, Power BI, Tableau, and Salesforce to gather and analyze data.
- Developing and maintaining interactive dashboards and reports to track key performance indicators (KPIs), operational efficiency, and customer trends.
- Collaborating with teams across the business to identify areas for improvement, optimize processes, and support business growth.
- Conducting detailed data analysis, including data mining, trend analysis, and predictive analytics to inform business decisions.
- Ensuring data accuracy and integrity across all systems, implementing data quality checks and working with different departments to maintain consistent and accurate data inputs.
- Providing actionable insights through visualizations and presentations, making complex data understandable for non-technical stakeholders.
As a Business Intelligence Analyst at Aspect, you can expect a competitive salary range of £40,000 - £60,000 per annum, depending on experience, as well as opportunities for professional growth and development in a dynamic and supportive team.
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:
- 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.
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