Data Insights Analyst: AI, Pricing & Trading

Data Insights Analyst: AI, Pricing & Trading

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
McAllister Recruitment & Consultancy

At a Glance

  • Tasks: Transform and analyse data to drive business decisions and support trading functions.
  • Company: Join a forward-thinking company focused on AI and market insights.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with plenty of room for career advancement.
  • Why this job: Make an impact by using data to shape business strategies and predict trends.
  • Qualifications: Strong analytical skills and experience with data interpretation.

The predicted salary is between 35000 - 45000 £ per year.

The duties and responsibilities of a data analyst include more than collecting and analysing data. They also have to make this data accessible to those who need the information to add value to business processes. In general, the day-to-day activities of a data analyst may include the following:

  • Organising and transforming information for the management team
  • Review market pricing information
  • Support all trading functions
  • Using AI to interpret and support data analysis
  • Review sales and margin from the different income streams with a consideration of pricing and market trends
  • Using data to predict trends in the customer base
  • Performing statistical analysis of data
  • Preparing reports and presenting these to management
  • Identifying and recommending new opportunities
  • Monitoring data quality
  • Communicating with stakeholders to understand data content and business requirements

Data Insights Analyst: AI, Pricing & Trading employer: McAllister Recruitment & Consultancy

As a Data Insights Analyst at our company, you will thrive in a dynamic and collaborative work culture that values innovation and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages growth and creativity, all set in a vibrant location that fosters both personal and professional connections. Join us to make a meaningful impact through data-driven insights while enjoying a fulfilling career path.

McAllister Recruitment & Consultancy

Contact Details:

McAllister Recruitment & Consultancy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Insights Analyst: AI, Pricing & Trading

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like McAllister Recruitment & Consultancy!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Insights Analyst: AI, Pricing & Trading at McAllister Recruitment & Consultancy.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like McAllister Recruitment & Consultancy.

Apply Directly through Our Website

When you find a suitable opening like Data Insights Analyst: AI, Pricing & Trading at McAllister Recruitment & Consultancy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Insights Analyst: AI, Pricing & Trading

Data Analysis
AI Interpretation
Market Pricing Analysis
Statistical Analysis
Report Preparation
Presentation Skills
Trend Prediction

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at McAllister Recruitment & Consultancy, 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 McAllister Recruitment & Consultancy. 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 McAllister Recruitment & Consultancy

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!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at McAllister Recruitment & Consultancy!

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.