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For Companies At a Glance
- Tasks: Lead and manage analytical projects, delivering high-quality reports and insights.
- Company: Join a prestigious national regulatory body known for its impactful work.
- Benefits: Enjoy a competitive salary, outstanding pension scheme, and 25 days of annual leave.
- Why this job: Make evidence-based decisions while developing your skills in a supportive environment.
- Qualifications: Proficiency in R or Python, and Power BI or Tableau required.
- Other info: Flexible working with only 6 days in the office each month.
The predicted salary is between 36000 - 60000 £ per year.
Morgan Hunt is collaborating with a prestigious national regulatory body to find a talented Senior Analyst. In this role, you will work closely with stakeholders to lead and deliver high-quality analytical products. You will take ownership of producing one of the organization's official statistics reports and spearhead critical analytical projects.
Salary: £45,000 - £47,000 (for exceptional candidates they will pay up to £52,000)
Location: Brighton, England (6 days a month in office)
Contract: Permanent
Outstanding pension scheme, recognised as the best in the UK
25 days of annual leave
Enhanced parental leave arrangements
Main Responsibilities:
- Lead and manage analytic projects, coordinating with internal and external stakeholders to ensure timely delivery, managing expectations, and engaging multidisciplinary teams.
- Support your direct reports in their projects, providing guidance, technical support, and career development assistance.
- Proactively identify, design, and deliver complex data analysis to inform project delivery, including making actionable recommendations based on your analysis.
- Utilize various programming languages to manipulate large, complex data sets and produce robust statistical outputs.
- Independently deliver a range of analytical outputs in formats best suited to the audience, such as statistical models, time series analysis, forecasting, and scenario analysis.
Requirements:
- Proficiency in R or Python, and Power BI or Tableau
- Ability to evaluate data sources for suitability, reliability, and accuracy for analysis
- Experience in handling big data and quickly understanding the structure of complex data warehouses
Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
Data Analyst (R or Python, and Power BI or Tableau) employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (R or Python, and Power BI or Tableau)
✨Tip Number 1
Familiarise yourself with the specific analytical tools mentioned in the job description, such as R or Python and Power BI or Tableau. Consider taking online courses or certifications to enhance your skills and demonstrate your proficiency during interviews.
✨Tip Number 2
Network with professionals in the data analysis field, especially those who work in regulatory bodies or similar organisations. Attend industry meetups or webinars to make connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Prepare for potential technical assessments by practising data manipulation and analysis tasks using real-world datasets. This will help you showcase your ability to handle complex data and produce actionable insights during the interview process.
✨Tip Number 4
Research the organisation's mission and recent projects to understand their analytical needs. Tailor your discussions in interviews to highlight how your skills can directly contribute to their goals, particularly in producing official statistics reports.
We think you need these skills to ace Data Analyst (R or Python, and Power BI or Tableau)
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the key responsibilities and requirements. Highlight your experience with R or Python, and Power BI or Tableau in your application.
Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the role of a Senior Analyst. Emphasise your proficiency in data analysis, project management, and stakeholder engagement.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your ability to deliver high-quality analytical products. Mention specific projects where you have successfully used R or Python, and how you can contribute to the organisation's goals.
Highlight Relevant Experience: In your application, provide examples of your experience with big data and complex data sets. Discuss any previous roles where you led analytic projects or worked closely with stakeholders to deliver actionable insights.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in R or Python, as well as your experience with Power BI or Tableau. Be prepared to discuss specific projects where you used these tools to manipulate large data sets and produce analytical outputs.
✨Understand the Organisation's Needs
Research the regulatory body you are applying to. Understand their mission and how your role as a Senior Analyst can contribute to evidence-based decision-making. This will help you tailor your responses to demonstrate your alignment with their goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle complex data analysis. Prepare examples of past projects where you identified issues, designed solutions, and delivered actionable recommendations based on your findings.
✨Demonstrate Leadership and Collaboration
Since the role involves managing analytic projects and supporting direct reports, be ready to discuss your leadership style. Share experiences where you coordinated with multidisciplinary teams and how you provided guidance and support to colleagues.
