At a Glance
- Tasks: Transform complex data into meaningful insights and support strategic decision-making.
- Company: Well-established organisation with a focus on business performance and analytics.
- Benefits: Hybrid working, generous leave, pension scheme, and ongoing professional development.
- Other info: Join a forward-thinking team that values inclusivity and continuous improvement.
- Why this job: Make a real impact by influencing business performance through data and analytics.
- Qualifications: Experience as a Data Analyst, strong analytical skills, and proficiency in Power BI.
The predicted salary is between 46500 - 46500 £ per year.
Location: Newcastle (Hybrid)
Salary: £46,500 + Excellent Benefits
We're working with a well-established organisation that is looking to appoint a skilled Data Analyst to join its Business Performance and Analytics team. This is an excellent opportunity to play a key role in supporting strategic decision-making through high-quality analysis, reporting and business intelligence.
You'll work across the organisation to transform complex data into meaningful insight, helping teams improve performance, identify opportunities and make evidence-based decisions. This is an ideal role for someone who enjoys problem solving, collaborating with stakeholders and delivering impactful analytics.
The Role
As a Data Analyst, you'll deliver reporting, dashboards and analytical insight using data from multiple sources. You'll identify trends and patterns, support data quality improvements and contribute to projects that enhance business performance. Working closely with operational teams and ICT, you'll develop reporting solutions, support data modelling and communicate findings clearly to both technical and non-technical audiences.
Key Responsibilities
- Produce reports, dashboards and business intelligence solutions.
- Analyse data to identify trends, patterns and improvement opportunities.
- Support data modelling and statistical analysis.
- Improve data quality and contribute to continuous improvement initiatives.
- Work with stakeholders to understand reporting and analytical requirements.
- Present complex findings in a clear and meaningful way.
- Support business improvement through data-led recommendations.
About You
You'll be an experienced Data Analyst who enjoys turning data into actionable insight and building strong relationships across the business.
Essential Experience
- Previous experience in a Data Analyst or similar role.
- Strong analytical and problem-solving skills.
- Experience developing dashboards using Power BI.
- Experience analysing data from multiple sources.
- Knowledge of data modelling and reporting principles.
- Excellent communication and stakeholder management skills.
- Strong attention to detail and organisational skills.
Personal Attributes
- Analytical and naturally curious.
- Proactive with a continuous improvement mindset.
- Strong planning and organisational skills.
- Able to manage multiple priorities.
- Confident communicating with a range of stakeholders.
- Passionate about using data to support better decision-making.
What's on Offer
- Hybrid and flexible working.
- Generous annual leave.
- Pension scheme.
- Health and wellbeing benefits.
- Ongoing learning and professional development.
- Opportunity to influence business performance through data and analytics.
If you're an experienced Data Analyst looking to join a forward-thinking organisation where your insight can make a real impact, we'd love to hear from you.
Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances.
Data Analyst in Newcastle upon Tyne employer: Sellick Partnership
At Sellick Partnership, we pride ourselves on being an excellent employer, offering a supportive work culture that values community engagement and employee growth. As a Mobile Caretaker in Nottinghamshire, you'll enjoy the benefits of a company van, competitive pay, and the opportunity to make a tangible difference in local neighbourhoods while working alongside a dedicated housing team. We foster an inclusive environment where every team member can thrive and contribute to creating safe, clean, and well-managed communities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Newcastle upon Tyne
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We think you need these skills to ace Data Analyst in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Sellick Partnership, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sellick Partnership. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Sellick Partnership
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
