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- Tasks: Analyse and present data to drive decision-making and operational improvements.
- Company: Join a forward-thinking company that values data-driven insights.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and continuous learning.
- Why this job: Make an impact by transforming data into actionable insights for the business.
- Qualifications: Experience with SQL and Power BI, plus strong analytical skills.
The predicted salary is between 30000 - 40000 £ per year.
The Data Analyst is a pivotal role in harnessing data to drive decision-making and operational improvements across the Group. This position involves gathering, organising, analysing, and presenting data to support key stakeholders. By producing insightful reports, dashboards, and visualisations, the Data Analyst enables stakeholders to understand their areas of control and identify opportunities for growth and efficiency. Additionally, you will collaborate with directors and managers to implement best practices, provide training, and ensure self-sufficiency in data processes.
Key Responsibilities:
- Data Management and Analysis: Extract, clean, and validate data from various systems, databases, and archives to ensure accuracy and consistency. Design, develop, and maintain automated processes to enhance data quality and operational efficiency. Conduct in-depth analyses to identify trends, correlations, and actionable insights.
- Reporting and Visualisation: Create and maintain clear, informative, and interactive reports, dashboards, and visualisations using tools such as SQL and Power BI. Present complex data and statistical findings in a way that is easily understood by both technical and non-technical audiences. Develop and monitor key performance indicators (KPIs) and other metrics to support data-driven decision-making.
- Collaboration and Stakeholder Support: Work with cross-functional teams to define data requirements and deliver actionable insights tailored to business needs. Provide training, support, and guidance to stakeholders, empowering them to manage and analyse their own data. Collaborate with IT and business teams to evaluate and recommend tools, systems, and processes that improve data management and reporting capabilities.
- Process Improvement and Compliance: Identify opportunities for process improvement and implement solutions to streamline data workflows. Ensure data security, integrity, and compliance with applicable laws, regulations, and organisational policies. Evaluate reporting processes and procedures to mitigate risks associated with data corruption, theft, or misuse.
- Innovation and Learning: Stay informed about advancements in data analysis tools, software, and methodologies. Proactively recommend new technologies and approaches to enhance the Group's data capabilities. Participate in and contribute to team meetings, projects, and initiatives.
Key Competencies:
- Technical Expertise: At least 2 years of experience working with data tools such as SQL and Power BI.
- Data Analysis Skills: Strong ability to interrogate, manipulate, and interpret complex data sets.
- Visualisation and Presentation: Proficiency in presenting data and trends in creative, compelling, and user-friendly formats.
- Problem Solving: Analytical mindset with excellent attention to detail and a proactive approach to resolving issues.
- Collaboration: Strong interpersonal and communication skills to work effectively with diverse teams and stakeholders.
- Time Management: Exceptional organisational skills with the ability to prioritise tasks and meet tight deadlines.
- Adaptability: Open to learning and adapting to new technologies and evolving business needs.
Essential Skills and Qualifications:
- Proven experience in data analysis, reporting, and visualisation.
- Advanced knowledge of SQL, Power BI, and other data analysis tools.
- Strong understanding of business operations and the ability to translate data insights into actionable business recommendations.
- Degree in Information Technology, Computer Science, Data Analytics, or a related field.
- Commitment to staying current with industry best practices and emerging technologies.
- A commercial mindset with a focus on achieving measurable business outcomes.
- Strong attention to detail and an unwavering commitment to data security and accuracy.
Desirable Skills:
- Experience with additional data tools such as Python, R, or Tableau.
- Knowledge of data governance frameworks and best practices.
- Familiarity with cloud-based data solutions and platforms (e.g., Azure, AWS, Google Cloud).
Data Analyst in Warrington employer: S. Norton & Co Ltd
Contact Detail:
S. Norton & Co Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, reports, and visualisations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past roles—this will help you shine during those crucial conversations.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Analyst in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with SQL, Power BI, and any relevant data analysis projects. 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 passionate about data analysis and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Include links or descriptions of dashboards, reports, or analyses you've created. This gives us a taste of your skills and creativity in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter family!
How to prepare for a job interview at S. Norton & Co Ltd
✨Know Your Data Tools Inside Out
Make sure you brush up on your SQL and Power BI skills before the interview. Be ready to discuss specific projects where you've used these tools, and how they helped you derive insights from data. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data problems or analyse a dataset on the spot. Practise explaining your thought process clearly and logically. This will demonstrate your analytical mindset and problem-solving skills, which are crucial for a Data Analyst role.
✨Showcase Your Communication Skills
As a Data Analyst, you'll need to present complex data in an understandable way. Prepare examples of how you've communicated findings to both technical and non-technical audiences. Highlight any experience you have in creating reports or dashboards that made a significant impact.
✨Demonstrate Your Collaborative Spirit
Collaboration is key in this role, so be ready to share experiences where you've worked with cross-functional teams. Discuss how you defined data requirements and delivered actionable insights. This will show that you can work well with others and understand the importance of stakeholder support.