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- Tasks: Analyse and align data across systems, delivering insights to support decision-making.
- Company: Leading UK organisation with a focus on data and insight.
- Benefits: Annual bonus, 25 days leave, competitive pension, and flexible working.
- Other info: Opportunities for professional development in a supportive environment.
- Why this job: Join a dynamic team and make an impact during a major data integration programme.
- Qualifications: Strong data analysis skills, advanced SQL, and experience with BI tools.
The predicted salary is between 40000 - 50000 £ per year.
Senior Data Analyst required by a market leading, UK organisation Data & Insight team on a 12-month fixed-term basis. This is a hybrid role with 23 days onsite with flexibility. The role supports a major data integration programme following organisational change, ensuring accurate, consistent and trusted insight across multiple systems during a period of transition.
Working closely with the Data Science Lead and wider technical and business teams, the role focuses on aligning data sources, improving reporting standards and delivering high-quality analysis to support decision-making. The successful candidate will combine strong technical capability with confident stakeholder engagement, including at senior level.
Key responsibilities- Reconcile, align and analyse data across multiple systems and sources
- Develop and maintain dashboards and reporting solutions (e.g. Tableau or similar)
- Query and analyse large datasets using cloud-based platforms
- Deliver KPI reporting, insight and ad-hoc analysis
- Translate complex data into clear, actionable insights for non-technical stakeholders
- Support data quality, validation and consistency across datasets
- Work with technical teams to improve data structures and reporting solutions
- Engage with senior stakeholders to gather requirements and present findings
- Strong experience in data analysis and insight delivery
- Advanced SQL and good Python skills (or similar)
- Experience with BI tools such as Tableau or equivalent
- Exposure to cloud data platforms (e.g. Databricks, Snowflake or similar)
- Strong data manipulation, reconciliation and problem-solving skills
- Ability to communicate insights clearly to non-technical and senior audiences
- Experience working with multiple datasets and complex data environments
- Strong attention to detail and focus on data quality
- Ability to work independently and manage competing priorities
- Experience in data integration or transformation projects
- Exposure to organisational change or post-acquisition environments
- Degree (or equivalent) in a numerate or analytical subject
- Annual bonus of up to 10%
- 25 days annual leave (plus bank holidays)
- Competitive pension scheme with enhanced employer contribution
- Flexible working arrangements to support work-life balance
- Annual salary review
- Gold Investors in People accreditation, reflecting a strong focus on employee development and wellbeing
- Access to a range of additional benefits including ShareSave scheme, Cycle to Work scheme, retail discounts and more
Senior Data Analyst in Bristol employer: Artis IT
Contact Detail:
Artis IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know that can land you that Senior Data Analyst role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss SQL, Python, and any BI tools you’ve used. We recommend doing some mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 3
Showcase your analytical prowess! Bring along examples of dashboards or reports you’ve created, especially if they’ve led to actionable insights. We want to see how you can translate complex data into clear findings that even non-technical stakeholders can understand.
✨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 and engaged with our company. Let’s get you that Senior Data Analyst position!
We think you need these skills to ace Senior Data Analyst in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with data analysis, SQL, and any BI tools you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for our Data & Insight team. Share specific examples of your past work that demonstrate your ability to deliver high-quality analysis and engage with stakeholders.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your experience with cloud platforms and any relevant programming languages like Python. We love seeing candidates who can handle complex data environments!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Artis IT
✨Know Your Data Inside Out
Before the interview, dive deep into your past data analysis projects. Be ready to discuss specific examples where you reconciled and aligned data across multiple systems. This will show your technical capability and give you confidence when answering questions.
✨Showcase Your BI Tool Skills
If you've worked with Tableau or similar BI tools, prepare to talk about how you've developed dashboards and reporting solutions. Bring along examples of your work if possible, as this can really impress the interviewers and demonstrate your hands-on experience.
✨Engage with Stakeholder Scenarios
Think of instances where you've had to communicate complex data insights to non-technical stakeholders. Prepare a couple of stories that highlight your ability to translate data into actionable insights, especially for senior audiences. This is key for the role!
✨Be Ready for Problem-Solving Questions
Expect questions that test your problem-solving skills, particularly in data manipulation and quality assurance. Brush up on your SQL and Python knowledge, and be prepared to discuss how you've tackled challenges in previous roles, especially in fast-paced environments.