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- Tasks: Generate insights and solve complex business problems using data analysis.
- Company: Join a dynamic team at a leading company in data analytics.
- Benefits: Enjoy flexible onsite work, competitive pay, and opportunities for growth.
- Why this job: Make an impact by influencing key business decisions with your analytical skills.
- Qualifications: Proficiency in SQL and Python, plus experience with statistical methods required.
- Other info: This role is inside IR35 and offers a chance to work on strategic initiatives.
The predicted salary is between 36000 - 60000 £ per year.
- Role Title: Data Analyst – SQL and Python Exp
- Location: Knutsford Onsite 2/3 days a week
- Duration: 31/12/2025
- IR35 Status; Inside of Scope
Role Description:
As a Data Analyst, your main responsibilities will involve:
* Responsibility of generating insights that shape and inform key business decisions and inspire stakeholders with algorithmic solutions for complex business problems
* Manage and assimilating a variety of data sources into a cohesive and accurate portrayal of operational performance
* Responsibility of looking after a business problem and then planning and executing the appropriate analysis in order to solve it
* Sourcing and manipulating the appropriate data and then analysing the outputs
* Demonstrating commercial insight to explore business growth opportunity, presenting your strategies to key stakeholders
* Contributing to Strategic Business initiatives and projects across operations by providing performance analysis to support strategies
As a Data Analyst, your skills and qualifications will include:
* Expertise / strong proficiency in SQL and Python – this role requires you to have proven experience of data analytics using both these programming languages
* Expertise of using classical statistical methods (such as logistic regression, decision trees) in a commercial environment
* Proven experience of delivering data products with relevant BI/data analytics tool set with an expertise in using SQL
* Solid hands on experience with some of the following data manipulation tools: Hadoop, Python, R, Impala
* The ability to influence senior executive stakeholders
* Being a self-motivated team player who is able to define, structure and prioritise work for yourself as well as others
* A commercial, financial and business acumen
Carbon60, Lorien & SRG – The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
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Data Analyst - SQL & Python Exp employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - SQL & Python Exp
✨Tip Number 1
Familiarise yourself with the specific SQL and Python tools that are commonly used in data analytics. This could include libraries like Pandas for Python or specific SQL functions that are relevant to the role. Showing that you have hands-on experience with these tools can set you apart.
✨Tip Number 2
Network with current or former employees of StudySmarter or similar companies. Engaging with them on platforms like LinkedIn can provide you with insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss real-world examples where you've successfully used data analysis to influence business decisions. Being able to articulate your thought process and the impact of your work will demonstrate your commercial insight and analytical skills.
✨Tip Number 4
Stay updated on the latest trends in data analytics and business intelligence. Being knowledgeable about emerging technologies and methodologies can help you impress during discussions with stakeholders and show your commitment to continuous learning.
We think you need these skills to ace Data Analyst - SQL & Python Exp
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python. Include specific projects or roles where you used these skills, as well as any relevant data manipulation tools like Hadoop or R.
Craft a Compelling Cover Letter: In your cover letter, emphasise your ability to generate insights and solve complex business problems. Mention your experience in presenting strategies to stakeholders and how you've contributed to business growth in previous roles.
Showcase Your Analytical Skills: Provide examples of how you've used classical statistical methods in a commercial environment. This could include specific projects where you applied techniques like logistic regression or decision trees.
Highlight Teamwork and Self-Motivation: Demonstrate your ability to work both independently and as part of a team. Share instances where you've defined and prioritised work for yourself and others, showcasing your self-motivation and teamwork skills.
How to prepare for a job interview at Lorien
✨Showcase Your SQL and Python Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring examples of past projects where you used these languages to solve complex data problems, and be ready to explain your thought process and the outcomes.
✨Demonstrate Your Analytical Thinking
During the interview, highlight your ability to analyse data and derive insights. Discuss specific instances where your analysis led to significant business decisions or improvements, showcasing your commercial insight.
✨Prepare for Technical Questions
Expect technical questions related to data manipulation tools and statistical methods. Brush up on classical statistical techniques like logistic regression and decision trees, and be ready to explain how you've applied them in a commercial setting.
✨Engage with Stakeholders
Since influencing senior stakeholders is crucial, prepare to discuss how you've effectively communicated your findings in the past. Think of examples where you presented data-driven strategies and how they were received by key decision-makers.
