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- Tasks: Transform data into actionable insights using Snowflake, SQL, and Python.
- Company: Join a high-growth, tech-driven organisation focused on data strategy.
- Benefits: Enjoy remote work flexibility and a competitive salary of up to £70k.
- Why this job: Grow your career while working on real-world products and mentoring others.
- Qualifications: Proven experience in analytics with strong SQL and Python skills required.
- Other info: Immediate start available for the right candidate.
The predicted salary is between 42000 - 84000 £ per year.
Job Description
Senior Data Analyst | Snowflake, SQL, Python | Salary up to c. £70k | Remote (UK) | Immediate Start
Role: Senior Data Analyst
Tech Stack: Snowflake, SQL, Python
Location: Remote (UK)
Start Date: Must be able to start immediatlely
Salary: Up to c. £70k
About The Role
Our partner is looking for a Senior Data Analyst to transform data into action, using platforms like Snowflake, SQL and Python alongside BI/dashboard tools. You will be a data-driven problem solver who thrives on turning complex information into clear insights and who can help shape the data strategy and empower decision-making across a high-growth, tech-driven organisation.
This work presents an opportunity to grow your career while working on a variety of real-world products.
Responsibilities
- Analysing large datasets to extract meaningful insights and trends that guide strategic decisions.
- Optimising data queries and pipelines using SQL and Python within a Snowflake environment.
- Supporting the design, build and maintenance of dashboards and data visualisations to support key business functions.
- Collaborating with cross-functional teams to understand requirements and deliver actionable reporting solutions.
- Supporting the development of self-service data tools and mentoring other analysts where needed.
Requirements
- Proven experience in a senior analytical role with strong end-to-end ownership of analytics projects.
- Deep technical skills in SQL and Python for data manipulation, cleaning and modelling.
- Experience working in a cloud data warehouse, ideally Snowflake.
- A track record of building dashboards using modern BI tools like Power BI, Tableau, Looker or Sigma.
- Strong communication skills; you’re comfortable explaining complex data concepts to non-technical stakeholders.
Senior Data Analyst | Snowflake, SQL, Python | Salary up to c. £70k | Remote (UK) | Immediate Start
Senior Data Analyst - Snowflake/SQL/Python - Remote (UK) - Immediate Start employer: WüNDER_TALENT
Contact Detail:
WüNDER_TALENT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Snowflake/SQL/Python - Remote (UK) - Immediate Start
✨Tip Number 1
Familiarise yourself with Snowflake and its features. Since this role specifically requires experience in a cloud data warehouse, understanding how Snowflake operates will give you an edge. Consider exploring online tutorials or documentation to brush up on your skills.
✨Tip Number 2
Showcase your ability to communicate complex data insights clearly. Prepare examples from your past experiences where you've successfully explained technical concepts to non-technical stakeholders. This will demonstrate your strong communication skills, which are crucial for this role.
✨Tip Number 3
Highlight your experience with BI tools like Power BI or Tableau. If you have any projects where you've built dashboards, be ready to discuss them in detail. This will show that you can deliver actionable reporting solutions, a key responsibility of the role.
✨Tip Number 4
Network with professionals in the data analytics field, especially those who work with Snowflake or similar technologies. Engaging with others in the industry can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Senior Data Analyst - Snowflake/SQL/Python - Remote (UK) - Immediate Start
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, SQL, and Python. Include specific projects where you've used these technologies to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data analysis and how your skills align with the role. Mention your experience in transforming complex data into actionable insights and your ability to communicate findings effectively.
Showcase Relevant Projects: If you have examples of dashboards or reports you've created using BI tools, include links or descriptions in your application. This will help illustrate your hands-on experience and problem-solving abilities.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasise any past experiences where you've collaborated with non-technical stakeholders. This shows your ability to bridge the gap between data and decision-making.
How to prepare for a job interview at WüNDER_TALENT
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and Snowflake in detail. Bring examples of past projects where you used these technologies to solve complex problems or optimise data processes.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific data challenges. Think about scenarios where you've had to analyse large datasets or create dashboards, and be ready to explain your thought process and the outcomes.
✨Communicate Clearly
Since you'll need to explain complex data concepts to non-technical stakeholders, practice simplifying your explanations. Use analogies or visual aids if possible to demonstrate your points effectively.
✨Demonstrate Collaboration Skills
Highlight your experience working with cross-functional teams. Be ready to share examples of how you've collaborated with others to gather requirements and deliver actionable insights that drive business decisions.
