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For Companies At a Glance
- Tasks: Dive into data, ensuring accuracy and producing insightful reports.
- Company: Join a dynamic team in Central Preston focused on data excellence.
- Benefits: Enjoy a hybrid work model with a competitive salary of £30-35k.
- Why this job: Perfect for data lovers wanting to make an impact through meaningful insights.
- Qualifications: Strong Excel skills required; knowledge of SQL/SSRS is a plus.
- Other info: Collaborate with teams to enhance MI systems and support users.
The predicted salary is between 24000 - 42000 £ per year.
Data & MI Analyst – Central Preston
Excel – Business Systems & Management Information – (Desirable) SQL / SSRS
Do you love Data and producing meaningful insights?
If you are strong with Excel, and good working with business systems, then this could be for you.
Key Responsibilities:
- Coordinate data collection and quality assurance, ensuring accuracy for external audits and reports.
- Work with the Head of Data to prepare, validate, and submit reports to other business functions
- Assist in the planning, setup, and reporting of internal assessments and audits
- Collaborate with support teams to optimize MI systems and improve efficiency.
- Provide technical support for MI system users, escalating issues when necessary.
- Monitor incoming data requests, ensuring timely and accurate processing
Salary £30-35k / Hybrid
Excel – Business Systems & Management Information – (Desirable) SQL / SSRS
Data Analyst employer: Senitor Associates
Contact Detail:
Senitor Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarize yourself with Excel and its advanced features, as this role heavily relies on it. Consider taking online courses or tutorials to sharpen your skills in data analysis and visualization.
✨Tip Number 2
Gain a basic understanding of SQL and SSRS, even if they are not mandatory. This knowledge can set you apart from other candidates and show your willingness to learn and adapt.
✨Tip Number 3
Network with professionals in the data analysis field, especially those who work with MI systems. Attend industry meetups or webinars to gain insights and potentially get referrals.
✨Tip Number 4
Prepare for the interview by practicing common data analysis scenarios and questions. Be ready to discuss how you've ensured data accuracy and handled reporting in previous roles.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Highlight Your Excel Skills: Make sure to emphasize your proficiency in Excel in your CV and cover letter. Provide specific examples of how you've used Excel to analyze data or produce reports.
Showcase Relevant Experience: Detail any previous roles where you coordinated data collection, ensured data quality, or worked with business systems. Use metrics to demonstrate your impact in these roles.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Mention your experience with SQL and SSRS if applicable, as these are desirable skills for the role.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences during the interview process. Think about how you can explain your approach to data analysis and problem-solving.
How to prepare for a job interview at Senitor Associates
✨Show Your Excel Skills
Since the role emphasizes strong Excel capabilities, be prepared to discuss your experience with Excel in detail. Bring examples of how you've used Excel to analyze data or create reports, and if possible, demonstrate your skills during the interview.
✨Understand Business Systems
Familiarize yourself with common business systems and management information tools. Be ready to explain how you've worked with these systems in the past and how you can contribute to optimizing them for better efficiency.
✨Prepare for Data Quality Assurance Questions
Expect questions about data collection and quality assurance processes. Think of specific instances where you ensured data accuracy and how you handled any discrepancies. This will show your attention to detail and commitment to high-quality work.
✨Collaborate and Communicate
Highlight your ability to collaborate with different teams. Prepare examples of how you've worked with others to achieve a common goal, especially in relation to data reporting and audits. Good communication skills are key in this role.
