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For Companies At a Glance
- Tasks: Analyse data, develop AI models, and improve business processes.
- Company: Join a forward-thinking company focused on enhancing service efficiency and customer satisfaction.
- Benefits: Enjoy a flexible work schedule with three days on-site and two remote.
- Why this job: Be part of a project that leverages AI to make a real impact on business operations.
- Qualifications: Strong skills in Python, SQL, and PowerBI; experience with data modelling is essential.
- Other info: Opportunity to work with cutting-edge AI technologies and collaborate with diverse teams.
The predicted salary is between 30000 - 42000 £ per year.
Contract Duration: 12 months
Location: Three days per week on site, two days remote working
Overview: My client is seeking a skilled Data Analyst to support a new project. The role will involve utilising AI and data analysis tools to improve service efficiency, compliance, customer satisfaction, and operational processes by leveraging rich text data. The successful candidate will play a vital role in enhancing business processes and maximising incentive revenue.
Key Responsibilities:
- Analyse large datasets using AI to extract insights and improve business processes.
- Develop AI models to categorise free text data across key business areas such as customer comments, job notes, and fault resolutions.
- Collaborate with business stakeholders to validate use cases, document requirements, and ensure delivery of solutions.
- Automate review and classification of small service jobs to improve compliance and quality assurance.
- Conduct sentiment analysis on customer comments to identify positive and negative experiences and improve customer satisfaction.
- Use AI to optimise fault resolution processes and enhance operational efficiency.
- Ensure regulatory compliance by validating documentation for planned shutdowns.
Key Competencies:
- Data Translation Skills: Ability to translate business problems into actionable data models and insights.
- Strategic Decision-Making: Ability to drive data-led decisions balancing short-term and long-term business needs.
- Influential Communication: Capable of explaining technical concepts to both technical and non-technical audiences.
- Organisational Navigation: Skilled in building consensus and managing competing priorities.
- Technology Agility: Ability to adapt to emerging tools and technologies quickly.
- Change Catalyst: Identifying impactful changes and making evidence-based recommendations.
Deliverables:
- Development and deployment of AI models for data categorisation and sentiment analysis.
- Optimisation of fault resolution processes.
- Automation of small services job reviews.
- Documentation and reporting of project milestones and outcomes.
- Backlog analysis and prioritisation of future use cases.
Essential Skills & Experience:
- Strong experience in data analysis using Python, SQL, and PowerBI.
- Experience with data modelling, warehousing, and ETL processes.
- Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
- Knowledge of large language models (LLMs) for analysing textual data is desirable.
- Familiarity with prompt-based AI techniques, context chunking, and few-shot learning is advantageous.
Data Analyst employer: Morson Talent
Contact Detail:
Morson Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the latest AI and data analysis tools relevant to the role. Being able to discuss specific technologies like Python, SQL, and PowerBI during your interactions will show your expertise and enthusiasm for the position.
✨Tip Number 2
Network with professionals in the data analysis field, especially those who have experience with AI models and sentiment analysis. Engaging in conversations can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to demonstrate your ability to translate complex data into actionable insights. Think of examples from your past experiences where you successfully communicated technical concepts to non-technical stakeholders.
✨Tip Number 4
Stay updated on industry trends related to data analysis and AI. Showing that you are proactive about learning and adapting to new technologies can set you apart as a candidate who is ready to drive impactful changes.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with Python, SQL, and PowerBI. Emphasise any projects where you've used AI to extract insights or improve processes.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Analyst position and how your skills align with the key responsibilities. Mention specific examples of how you've successfully analysed large datasets or developed AI models in the past.
Showcase Communication Skills: Since the role requires explaining technical concepts to various stakeholders, include examples in your application that demonstrate your ability to communicate complex ideas clearly and effectively.
Highlight Relevant Projects: If you have experience with sentiment analysis or automating processes, be sure to mention these projects. Detail your role and the impact your work had on improving efficiency or customer satisfaction.
How to prepare for a job interview at Morson Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and PowerBI in detail. Bring examples of past projects where you successfully analysed large datasets or developed AI models, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Research the company and its industry to understand the specific challenges they face. Be ready to explain how your data analysis skills can directly address their needs, particularly in improving service efficiency and customer satisfaction.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since the role involves collaborating with both technical and non-technical stakeholders, being able to communicate effectively is crucial.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach real-world scenarios, such as automating review processes or conducting sentiment analysis on customer comments.
