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For Companies At a Glance
- Tasks: Analyze data to drive business decisions and create interactive dashboards.
- Company: Join Aspect, one of London’s largest property maintenance teams with ambitious growth plans.
- Benefits: Work in a dynamic environment with opportunities for professional growth and skill development.
- Why this job: Be part of a fast-paced team where your data insights directly impact business success.
- Qualifications: Proficiency in SQL, Python, Power BI, Tableau, and advanced Excel skills required.
- Other info: Experience in the property maintenance industry is a plus but not mandatory.
The predicted salary is between 28800 - 48000 £ per year.
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:
- 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.
Data Analyst employer: Aspect
Contact Detail:
Aspect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, such as SQL, Python, Power BI, and Tableau. Consider taking online courses or tutorials to sharpen your skills in these areas, as hands-on experience will make you stand out.
✨Tip Number 2
Network with professionals in the property maintenance or service industry. Attend relevant meetups or webinars to gain insights into industry-specific data challenges and solutions, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data analysis to drive business decisions. Think about specific projects where your insights led to measurable improvements, as this will demonstrate your ability to provide actionable insights.
✨Tip Number 4
Practice explaining complex data concepts in simple terms. Since you'll be working with both technical and non-technical stakeholders, being able to communicate effectively is crucial. Consider doing mock presentations to friends or family to refine your skills.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis tools like SQL, Python, Power BI, and Tableau. Include specific examples of how you've used these tools to drive business insights.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it can support strategic decision-making. Mention any relevant experience in the property maintenance or service industry, even if it's not required.
Showcase Your Analytical Skills: Provide examples of past projects where you conducted detailed data analysis, created dashboards, or provided actionable insights. This will demonstrate your ability to turn complex data into understandable information.
Highlight Communication Skills: Emphasize your strong communication skills in your application. Explain how you've successfully presented complex data insights to both technical and non-technical stakeholders in previous roles.
How to prepare for a job interview at Aspect
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL, Python, and data visualization tools like Power BI and Tableau. Bring examples of past projects where you used these tools to derive insights or solve problems.
✨Prepare for Data-Driven Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Practice explaining how you would approach a data analysis task, including the steps you would take to ensure data accuracy and integrity.
✨Communicate Clearly
Since you'll need to present complex data to non-technical stakeholders, practice simplifying your explanations. Use clear visuals or analogies to make your points understandable and engaging.
✨Understand the Business Context
Research Aspect and its role in the property maintenance industry. Be ready to discuss how your data analysis can support their business goals and drive decision-making across various departments.
