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- Tasks: Drive strategic analysis of data and deliver high-quality data solutions.
- Company: Join a respected client with a supportive, collaborative team culture.
- Benefits: Competitive salary up to £60,000, hybrid working, and referral bonuses.
- Why this job: Make an impact by translating business needs into actionable insights.
- Qualifications: 3+ years in Data Analysis, advanced SQL, and strong Python skills required.
- Other info: Opportunity for growth in a dynamic environment with a focus on self-development.
The predicted salary is between 36000 - 60000 £ 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
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.
You’ll be responsible for leading the strategic analysis and interpretation of complex datasets.
Your work will directly inform the development of data products that influence key business and research outcomes.
This is a cross-functional role with direct interaction across data engineering, product teams, and stakeholders, both technical and non-technical.
About the Role
Key Responsibilities
Skills
- Translate complex business requirements into robust data solutions and modelling frameworks.
- Collaborate with internal stakeholders and clients to gather requirements and deliver high-impact data insights.
- Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle.
- Drive Agile ways of working – contributing to backlog refinement, defining outcomes, and supporting user acceptance testing.
- Conduct detailed technical analysis of structured and unstructured data to assess structure, quality, and usability.
What We’re Looking For
- Experience working with large datasets, and advanced data modelling techniques.
- Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role.
- Strong experience in SQL (writing and optimising complex queries).
- Ability to engage with stakeholders and translate their needs into actionable data solutions.
- Solid understanding of data structures, schemas, and normalisation principles.
- Skilled in creating impactful data visualisations and dashboards.
- Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy).
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 employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analysis field, especially those who work in the automotive or insurance industries. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Think about how you would approach complex datasets and be ready to discuss your problem-solving process. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your SQL and Python skills, and any relevant experience in data analysis. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your curiosity and eagerness to learn. Tell us why you're excited about this role and how you can contribute to our collaborative team.
Showcase Your Technical Skills: Don’t forget to mention your advanced SQL and Python proficiency. Provide examples of how you've used these skills in past roles to drive insights and deliver data-driven solutions. We love seeing real-world applications!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Datatech Analytics
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss complex queries you've written and how you've used Python libraries like Pandas and NumPy in your previous roles. They’ll likely want to see how you can manipulate large datasets, so have some examples ready!
✨Understand the Business Context
Familiarise yourself with the company’s business objectives and how data analysis supports them. Think about how your analytical insights can drive strategic decisions. This will show that you’re not just a tech whiz but also understand the bigger picture.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or analyse case studies. Practice explaining your thought process clearly and logically. This will demonstrate your ability to translate business requirements into actionable insights, which is key for this role.
✨Show Your Collaborative Spirit
Since the role involves liaising with various departments, be prepared to discuss how you’ve successfully collaborated in the past. Share examples of how you’ve fostered strong relationships and facilitated knowledge transfer, as this will highlight your teamwork skills.
