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For Companies At a Glance
- Tasks: Analyse data and provide insights to boost sales and marketing effectiveness.
- Company: Join a global SaaS company with a vibrant culture in central London.
- Benefits: Enjoy a hybrid work model and be part of a friendly, supportive team.
- Why this job: Make a real impact on customer success while developing your analytical skills.
- Qualifications: Must have SQL experience and a relevant degree; 3+ years in data analysis required.
- Other info: This is a 4-month contract role with opportunities for growth.
Our client is a global SaaS type company who are now seeking a BI Reporting Analyst based at their impressive UK headquarters in central London. This is a 4 month contract, hybrid, with 2 days a week in their offices.
Experience
- Previous experience of SQL is essential and Tableau or Qliksense would prove very useful.
- 3 years+ data analysis experience supporting sales and marketing teams.
- Experience manipulating and presenting data particularly sales productivity data.
- Relevant degree qualification.
Duties
- Performs business analysis using various techniques, statistical analysis, explanatory and predictive modelling & data mining.
- Provides insight reporting on a daily/weekly/monthly basis.
- Reports on current processes and proactively looks for ways to increase operational efficiency and effectiveness.
- Drives projects which improve customer success and productivity.
Benefits
- Friendly supportive team.
- Global organisation.
- Hybrid role.
BI Reporting Analyst employer: EF Recruitment
Contact Detail:
EF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI Reporting Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like SQL, Tableau, and Qliksense. Consider taking a short online course or tutorial to brush up on these skills, as demonstrating your proficiency can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the BI and data analysis field, especially those who work in SaaS companies. Attend industry meetups or webinars to make connections and learn more about the role, which could give you valuable insights to discuss during interviews.
✨Tip Number 3
Prepare to discuss your previous experience in data analysis, particularly how you've supported sales and marketing teams. Think of specific examples where your insights led to improved productivity or efficiency, as this will showcase your impact in similar roles.
✨Tip Number 4
Research the company’s current projects and challenges in the BI space. Being knowledgeable about their operations and how you can contribute to improving customer success will demonstrate your genuine interest and proactive approach during the interview process.
We think you need these skills to ace BI Reporting Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and any familiarity with Tableau or Qliksense. Emphasise your data analysis skills, particularly in supporting sales and marketing teams.
Craft a Strong Cover Letter: In your cover letter, explain how your previous experience aligns with the duties of the BI Reporting Analyst role. Mention specific projects where you improved operational efficiency or provided valuable insights.
Showcase Relevant Qualifications: Include details about your relevant degree qualification and any additional certifications that may enhance your application. This will demonstrate your commitment to the field of data analysis.
Highlight Soft Skills: Don't forget to mention soft skills that are important for this role, such as teamwork and communication. Since this is a hybrid role, emphasising your ability to work both independently and collaboratively is key.
How to prepare for a job interview at EF Recruitment
✨Showcase Your SQL Skills
Since previous experience with SQL is essential for this role, be prepared to discuss your SQL projects in detail. Bring examples of how you've used SQL to manipulate and analyse data, especially in a sales context.
✨Demonstrate Data Presentation Techniques
Highlight your experience with Tableau or Qliksense during the interview. Prepare to explain how you've used these tools to present data effectively, particularly focusing on sales productivity data.
✨Discuss Your Analytical Approach
Be ready to talk about the various techniques you use for business analysis, including statistical analysis and predictive modelling. Share specific examples of how your insights have led to improved operational efficiency.
✨Emphasise Team Collaboration
Since this role involves supporting sales and marketing teams, illustrate your ability to work collaboratively. Discuss any past experiences where you successfully partnered with different teams to drive projects that enhance customer success.
