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For Companies At a Glance
- Tasks: Drive strategic analysis and deliver data solutions for business objectives.
- Company: Join a respected client focused on collaborative and innovative data analysis.
- Benefits: Enjoy hybrid working, competitive salary, and referral bonuses.
- Why this job: Be part of a supportive team that values curiosity and self-development.
- Qualifications: 3+ years in Data Analysis, advanced SQL, strong Python skills required.
- Other info: Refer friends for rewards; no limit on referrals!
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Senior Data Analyst – SQL & Python
Location: West Berkshire – Hybrid working 2 days in the office
Reference: J12993
Salary: Neg up to £60,000 DOE
Note: Full and current UK working rights required for this role
Are you naturally curious and eager to learn, with a drive for self-development? Join a supportive, collaborative team where your inquisitive nature is valued and encouraged.
We’re working with a valued and respected client who is looking to grow their analytical team with a Senior Data Analyst
Drive the strategic analysis and interpretation of enterprise data assets, ensuring they align with business objectives and customer needs. Collaborate with the wider Enterprise Data team to deliver high-quality data solutions that support both internal and external customer products.
About the Role
Key Responsibilities
- Liaising with wider Enterprise data team to deliver data products by providing business requirements and technical understanding of data sets
- Act as a key liaison across departments, fostering strong relationships and facilitating knowledge transfer to support the development of research methodologies and operational processes
- Lead technical analysis of complex data sets to assess structure, quality, and usability, providing strategic insights that inform the design and delivery of data-driven products
- Translate business requirements into scalable, repeatable analytical solutions that deliver actionable insights to internal stakeholders and external partners.
Skills
What We’re Looking For
- A minimum of 3 years within Data Analysis role with some senior experience
- Advanced SQL: Proven ability to write complex queries, optimise performance, and manipulate large datasets across relational databases.
- Strong Python Proficiency: Skilled in using Python for data analysis, and automation with experience in libraries such as Pandas, NumPy, and SQL Alchemy.
- Data Modelling: Handle and model large amounts of data, create solutions to solve problemsand to answer key business questions
- Data Structures:Strong Understanding of Data Structures working with structured and unstructured data, including deep knowledge of data types, schemas, relationships, and normalisation principles.
- Understanding/experience with of motor insurance industry and the automotive industry would be an advantage.
If this sounds like the role for you then please apply today!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Senior Data Analyst - SQL & Python employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - SQL & Python
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies mentioned in the job description, particularly SQL and Python. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Network with professionals in the data analysis field, especially those who work in the automotive or motor insurance industries. Attend industry meetups or webinars to gain insights and potentially make connections that could lead to referrals.
✨Tip Number 3
Prepare for potential interviews by brushing up on your knowledge of data modelling and structures. Be ready to discuss how you've handled large datasets and the methodologies you've used to derive insights from them.
✨Tip Number 4
Showcase your curiosity and eagerness to learn during any interactions with the company. Ask insightful questions about their data processes and challenges, demonstrating your genuine interest in contributing to their team.
We think you need these skills to ace Senior Data Analyst - SQL & Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant data analysis projects. Use specific examples that demonstrate your ability to handle complex datasets and provide actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your curiosity and eagerness to learn. Mention how your skills align with the key responsibilities of the role, particularly your experience in liaising with teams and delivering data-driven solutions.
Showcase Relevant Skills: Clearly outline your advanced SQL and Python skills in your application. Include any specific libraries you are proficient in, such as Pandas or NumPy, and mention your understanding of data structures and modelling.
Highlight Industry Knowledge: If you have experience in the motor insurance or automotive industry, make sure to include this in your application. This knowledge can set you apart from other candidates and show your understanding of the business context.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. Bring examples of complex queries you've written and be ready to explain how you optimised performance and manipulated large datasets.
✨Demonstrate Python Proficiency
Highlight your experience with Python, especially with libraries like Pandas and NumPy. Consider preparing a small project or example that showcases your ability to automate data analysis tasks.
✨Understand the Business Context
Research the company and its industry, particularly the motor insurance and automotive sectors. Be ready to discuss how your analytical skills can directly support their business objectives and customer needs.
✨Prepare for Technical Questions
Expect questions about data structures and modelling. Brush up on your knowledge of structured and unstructured data, and be ready to discuss how you would approach solving key business questions using data.
