Strategic Commercial Analytics & Reporting Analyst

Strategic Commercial Analytics & Reporting Analyst

Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Lily Lifestyle

At a Glance

  • Tasks: Deliver data-driven insights and develop reports for the transport & distribution sector.
  • Company: Lily Lifestyle, a forward-thinking company in Greater London.
  • Benefits: Competitive salary and great career growth opportunities.
  • Other info: Join a dynamic team focused on enhancing decision-making.
  • Why this job: Make an impact with your analytical skills in a professional environment.
  • Qualifications: Strong analytics background, Excel and SQL proficiency, excellent communication skills.

The predicted salary is between 40000 - 50000 £ per year.

Lily Lifestyle is seeking a Commercial Insights & Reporting Analyst in Greater London. This role involves delivering data-driven insights and developing reports to enhance decision-making in the transport & distribution sector.

The ideal candidate will have a strong background in analytics, proficiency in tools like Excel and SQL, and excellent communication skills.

The organization offers a competitive salary and opportunities for career growth within a professional environment.

Strategic Commercial Analytics & Reporting Analyst employer: Lily Lifestyle

Lily Lifestyle is an exceptional employer, offering a dynamic work culture that fosters professional growth and innovation in the heart of Greater London. Employees benefit from competitive salaries, comprehensive training programmes, and the opportunity to make impactful contributions in the transport and distribution sector, all while working alongside a talented team dedicated to excellence.

Lily Lifestyle

Contact Details:

Lily Lifestyle Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Strategic Commercial Analytics & Reporting Analyst

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 Lily Lifestyle!

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 Strategic Commercial Analytics & Reporting Analyst at Lily Lifestyle.

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 Lily Lifestyle.

Apply Directly through Our Website

When you find a suitable opening like Strategic Commercial Analytics & Reporting Analyst at Lily Lifestyle, 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 Strategic Commercial Analytics & Reporting Analyst

Data Analysis
Excel
SQL
Communication Skills
Reporting
Decision-Making
Analytical Skills

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 Lily Lifestyle, 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 Lily Lifestyle. 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 Lily Lifestyle

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 Lily Lifestyle!

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.