At a Glance
- Tasks: As a Data Analyst, you'll analyse data to enhance workplace wellbeing and support client projects.
- Company: Join a leading workplace wellbeing consultancy aiming to transform organisational health in the UK.
- Benefits: Enjoy hybrid working, 25 days annual leave, and a pension scheme.
- Other info: Work closely with diverse teams and contribute to innovative product development.
- Why this job: Be part of a mission-driven team that values your insights and promotes positive workplace change.
- Qualifications: Experience in data analysis, Python skills, and a relevant qualification or equivalent experience required.
The predicted salary is between 28800 - 48000 € per year.
An exciting opportunity has arisen for a Data Analyst working for our client with offices based in the north west, offering HYBRID working combining technical depth and practical application and client value. Applicants are required to be within easy travel of the Manchester office. The requirement will be to work in the office one day per week minimum.
The role will support their ambition to become the leading workplace wellbeing consultancy brand in the UK. This role sits at the heart of our client's mission to help organisations understand and act on the factors influencing wellbeing at work.
As a Data Analyst, you’ll support clients in making sense of their data and identifying what has the greatest impact at an organisational, leader and employee levels. You will take ownership of our normative dataset, benchmarks and insight reporting. The role plays a key part in ongoing product development and offers opportunities for thought leadership to position our client as a leader in the workplace wellbeing space.
Working closely with colleagues in Business Psychology, Marketing and Business Development, you’ll conduct end-to-end data analysis across our client projects and internal data infrastructure. You will maintain and develop our benchmark datasets, contribute to client-facing deliverables, and explore automation and predictive methods to enhance our insight capabilities.
Key Requirements & Experience for Data Analyst:
- Demonstrable experience in data analysis within a consulting or service-led environment
- Experience working with clients ranging from SMEs to large multinationals, across private and public sectors
- Skilled in Python for data analysis
- Experience with Jira for product and technical tracking
- Experience working in Azure/cloud environments
- Strong data visualisation and dashboarding skills
- Able to prepare and deliver client-facing reports, insight packs and strategic recommendations
- Comfortable conducting various types of analysis including impact (driver) and regression analysis
- A professional qualification in relevant field, or equivalent professional experience required.
This position reports to the Head of Operations and offers 37.5 hours per week Monday-Friday. 25 days annual leave + public holidays. Employer pension scheme.
A full Job Description is available on request.
Data Analyst - Hybrid Manchester employer: Professio Recruitment Ltd
Join a forward-thinking workplace wellbeing consultancy in Manchester, where you will thrive in a hybrid work environment that promotes flexibility and collaboration. With a strong focus on employee growth, you will have the opportunity to engage in meaningful projects that directly impact organisational wellbeing, while enjoying 25 days of annual leave and a supportive pension scheme. Our inclusive work culture encourages innovation and teamwork, making it an ideal place for passionate data analysts to develop their skills and contribute to a vital mission.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Hybrid Manchester
✨Tip Number 1
Familiarise yourself with the latest trends in workplace wellbeing and data analysis. This will not only help you understand the company's mission but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of data analysis and workplace wellbeing. Attend relevant events or webinars, and connect with current employees on LinkedIn to gain insights about the company culture and expectations.
✨Tip Number 3
Brush up on your Python skills, especially focusing on data analysis libraries like Pandas and NumPy. Being able to demonstrate your technical proficiency in these areas can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data visualisation tools in past projects. Highlighting your ability to create impactful dashboards and reports will show your potential value to the team.
We think you need these skills to ace Data Analyst - Hybrid Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data analysis, particularly within consulting or service-led environments. Emphasise your skills in Python, data visualisation, and any experience with Azure or Jira.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role and the company's mission in workplace wellbeing. Mention specific examples of how your previous work aligns with their goals and how you can contribute to their success.
Showcase Your Analytical Skills:Provide examples of past projects where you conducted data analysis, especially those involving impact and regression analysis. Highlight your ability to prepare client-facing reports and strategic recommendations.
Proofread and Edit:Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Professio Recruitment Ltd
✨Showcase Your Data Skills
Make sure to highlight your experience with data analysis, especially using Python. Be prepared to discuss specific projects where you've successfully used data to drive insights and recommendations.
✨Understand the Company’s Mission
Familiarise yourself with the company's focus on workplace wellbeing. Be ready to explain how your skills can contribute to their mission and how you can help clients understand and act on their data.
✨Prepare for Client-Facing Scenarios
Since the role involves preparing client-facing reports and insight packs, think of examples where you've effectively communicated complex data findings to non-technical stakeholders. Practice explaining your analysis in simple terms.
✨Demonstrate Team Collaboration
The position requires working closely with various teams. Be ready to share experiences where you've collaborated with others, particularly in a consulting or service-led environment, and how that contributed to successful outcomes.
