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For Companies At a Glance
- Tasks: Analyse data to enhance user experiences and optimise product features.
- Company: Join a well-established international digital business focused on innovation.
- Benefits: Enjoy career development programmes, wellbeing initiatives, and local perks like private healthcare.
- Why this job: Make a real impact by using data to improve customer journeys and collaborate across teams.
- Qualifications: Experience in data analysis, SQL/Python, and creating visual dashboards is essential.
- Other info: We value diverse backgrounds and encourage all to apply, even if you don't meet every requirement.
The predicted salary is between 46800 - 78000 £ per year.
Do you enjoy uncovering trends, simplifying the complex, and helping teams make smarter decisions? Are you looking to join a forward-thinking organisation where your analytical skills can make a real impact? This could be your perfect next role.
The Opportunity
Our client is a well-established international digital business seeking a curious and motivated Product Analyst to help enhance user experiences through data. You will play a vital role in analysing digital journeys, optimising product features, and bringing insights to life through compelling visualisations and collaboration across departments. This is a fantastic chance to work in a high-growth environment where your ideas and input will be genuinely valued.
Why This Role is Great
- Use data to identify opportunities for improving customer journeys through testing and experimentation
- Build visual dashboards that help teams make data-informed decisions with ease
- Share insights that influence decisions across areas such as customer acquisition, retention, and engagement
- Collaborate with a variety of teams to support a data-first approach to product development and lifecycle planning
- Take ownership of your work and contribute to a culture of continuous learning and improvement
About You
You will get to work with useful tools and meaningful projects while continuing to build on experience in:
- Data analysis, business intelligence, or related reporting work
- Using SQL or Python to extract and manipulate data
- Creating visual dashboards with BI tools such as Tableau or Power BI
- Communicating insights clearly to both technical and non-technical audiences
- Managing multiple tasks while collaborating to meet shared goals
A background in a relevant subject such as mathematics, data science, or computer science is helpful.
Nice to Have
- Familiarity with A/B testing or product experimentation
- An interest in digital journeys and enhancing customer experiences
- Experience with tools like Google Analytics or similar platforms
- A curious mindset and enthusiasm for solving real-world problems through data
What’s in It for You
- Access to development programmes that support your career growth
- Ongoing performance feedback and support from experienced teams
- Wellbeing programmes for you and your family
- A selection of local benefits which may include: Private healthcare, Pension scheme, Life assurance and income protection
A Note on Inclusion
We are committed to inclusive hiring practices and encourage candidates from all backgrounds to apply. Even if you do not match every skill listed, we welcome your application if you believe you have the right mindset and a willingness to learn.
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Product Focused - SQL/Python - to £65k - ID41747
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like SQL and Python. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas, as practical experience can set you apart.
✨Tip Number 2
Network with professionals in the data analysis field, especially those who work in product-focused roles. Attend industry meetups or webinars to gain insights and potentially get referrals, which can significantly boost your chances of landing an interview.
✨Tip Number 3
Prepare to discuss your analytical approach during interviews. Be ready to share examples of how you've used data to solve problems or improve processes, as this will demonstrate your ability to contribute to a data-first culture.
✨Tip Number 4
Showcase your ability to communicate insights effectively. Practice explaining complex data findings in simple terms, as this skill is crucial for collaborating with both technical and non-technical teams in the role.
We think you need these skills to ace Data Analyst - Product Focused - SQL/Python - to £65k - ID41747
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, SQL, and Python. Emphasise any projects where you've used these skills to solve problems or improve processes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and problem-solving. Mention specific examples of how you've used data to influence decisions or enhance user experiences in previous roles.
Showcase Your Analytical Skills: Include examples of how you've created visual dashboards or conducted A/B testing. This will demonstrate your ability to communicate insights effectively to both technical and non-technical audiences.
Highlight Continuous Learning: Mention any relevant courses or certifications you've completed, especially those related to data analysis or business intelligence tools like Tableau or Power BI. This shows your commitment to professional growth.
How to prepare for a job interview at Humand Talent
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis to solve problems in the past. Highlight your experience with SQL and Python, and be ready to explain your thought process when analysing data.
✨Demonstrate Your Visualisation Expertise
Since the role involves creating visual dashboards, bring along examples of your previous work with BI tools like Tableau or Power BI. Explain how these visualisations helped teams make informed decisions.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You may encounter both technical and non-technical audiences, so being able to adapt your communication style is key to success.
✨Emphasise Collaboration
This role requires working with various teams, so share experiences where you successfully collaborated on projects. Discuss how you contributed to a data-first approach and supported product development.
