At a Glance
- Tasks: Analyse data, identify trends, and produce actionable reports for stakeholders.
- Company: Join a dynamic team focused on effective communication strategies.
- Benefits: Competitive salary, potential contract extension, and a collaborative work environment.
- Why this job: Great opportunity to enhance your data skills while making a real impact.
- Qualifications: Experience as a Data Analyst, advanced Excel skills, and strong communication abilities.
- Other info: Open to all qualified applicants; diversity is valued.
The predicted salary is between 28000 - 32000 £ per year.
Contract Type: 3-Month FTC (Potential to extend to 6 months)
Location: BD17
Salary: £35,000 - £40,000 per annum (Up to £45,000 for exceptional candidates)
Working Hours: Monday - Friday, 9:00am - 5:30pm (40 hours per week)
Overview: Our client is looking for an experienced Data Analyst to join their team on a fixed-term contract.
Key Responsibilities:
- Analyse data from our appointment reminder system, which includes letters, texts, and emails
- Identify trends and performance metrics to determine which methods are most effective
- Produce clear, actionable reports and insights for internal stakeholders
- Collaborate closely with the Client Communications and Marketing teams
- Build rapport and strong working relationships across the organisation
- Support the delivery of key project milestones and objectives
- Provide data-driven recommendations to improve communication strategies
Essential Skills & Experience:
- Proven experience as a Data Analyst or in a similar analytical role
- Advanced proficiency in Microsoft Excel
- Strong communication and stakeholder engagement skills
- Ability to work independently and collaboratively within cross-functional teams
- Strong analytical mindset and attention to detail
Contract Terms: Fixed-term for 3 months (extension to 6 months possible)
If you are a data-savvy professional with excellent Excel skills and a passion for using data to drive business decisions, we'd love to hear from you.
Project Manager employer: Search
Contact Detail:
Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project Manager
✨Tip Number 1
Familiarise yourself with the specific data tools and software mentioned in the job description. Since this role requires advanced proficiency in Microsoft Excel, consider brushing up on your Excel skills, especially in data analysis functions and pivot tables.
✨Tip Number 2
Network with current or former employees of the company to gain insights into their work culture and expectations. This can help you tailor your approach during interviews and demonstrate your understanding of the organisation's values.
✨Tip Number 3
Prepare examples of past projects where you've successfully analysed data and provided actionable insights. Be ready to discuss how your contributions led to improved outcomes, as this will showcase your analytical mindset and problem-solving skills.
✨Tip Number 4
Practice your communication skills, as strong stakeholder engagement is crucial for this role. Consider role-playing scenarios where you present data findings to non-technical audiences, ensuring you can convey complex information clearly and effectively.
We think you need these skills to ace Project Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Analyst. Focus on your proficiency in Microsoft Excel and any relevant projects where you've analysed data and produced reports.
Craft a Compelling Cover Letter: In your cover letter, emphasise your analytical skills and how they align with the responsibilities of the Project Manager role. Mention specific examples of how you've used data to drive business decisions.
Highlight Communication Skills: Since strong communication and stakeholder engagement are essential for this role, provide examples in your application that demonstrate your ability to collaborate effectively with teams and present data-driven insights.
Showcase Attention to Detail: In your application, mention instances where your attention to detail has led to successful outcomes in previous roles. This will resonate well with the requirements of the position.
How to prepare for a job interview at Search
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis in previous roles. Highlight your experience with tools like Excel and any relevant projects where you identified trends or produced actionable insights.
✨Communicate Clearly
Since strong communication skills are essential for this role, practice explaining complex data findings in a simple way. Think about how you would present your insights to non-technical stakeholders.
✨Demonstrate Team Collaboration
Prepare to share experiences where you've successfully collaborated with cross-functional teams. Emphasise your ability to build rapport and work effectively with others, especially in a project setting.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's data strategies and how they measure success. This demonstrates your proactive mindset and eagerness to contribute to their goals.