At a Glance
- Tasks: Transform data into insights that shape product vision and drive growth.
- Company: Fast-growing digital business based in Manchester with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
- Why this job: Join a dynamic team and make a real impact on product evolution through data.
- Qualifications: Four years of experience, SQL proficiency, and familiarity with product analytics tools.
- Other info: Thriving environment that encourages data-driven decision-making and creativity.
The predicted salary is between 40000 - 50000 £ per year.
A fast-growing digital business in Manchester is seeking a Data Analyst to convert data into actionable insights that influence product vision and evolution. This role involves analyzing user behavior and product performance, conducting data migration to Snowflake, and building visualizations to support decision-making.
The ideal candidate has four years of experience, proficiency in SQL and product analytics tools, and is comfortable in fast-paced environments. Join a dynamic team that values data-driven product development and innovation.
Product Data Analyst - Snowflake & Growth Insights in Manchester employer: Leadly
Contact Detail:
Leadly Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Analyst - Snowflake & Growth Insights in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL and product analytics tools. Visualisations can really make your work pop and demonstrate your ability to turn data into insights.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Think about how you would approach analysing user behaviour or product performance, and be ready to share your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our brand.
We think you need these skills to ace Product Data Analyst - Snowflake & Growth Insights in Manchester
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with SQL and product analytics tools in your application. We want to see how you've used data to drive insights and influence product decisions in the past!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your skills and experiences align with our needs for the Product Data Analyst role. We love seeing candidates who take the time to connect their background to what we do.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your achievements and experiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Leadly
✨Know Your Data Tools
Make sure you brush up on your SQL skills and any product analytics tools mentioned in the job description. Be ready to discuss how you've used these tools in past roles to derive insights from data.
✨Showcase Your Analytical Mindset
Prepare examples of how you've converted data into actionable insights. Think about specific projects where your analysis influenced product decisions or improvements, and be ready to share those stories.
✨Understand the Company’s Product Vision
Research the company’s products and their current market position. Being able to discuss how your insights could align with their product vision will show that you're genuinely interested and invested in their success.
✨Prepare for Fast-Paced Scenarios
Since the role is in a fast-paced environment, think of examples where you've thrived under pressure. Be ready to discuss how you prioritise tasks and manage deadlines while ensuring quality in your analyses.