Commercial Data Analyst

Commercial Data Analyst

Full-Time 35000 - 45000 £ / year (est.) No home office possible
Watkin Jones

At a Glance

  • Tasks: Transform complex data into clear insights that drive key decisions.
  • Company: Watkin Jones, a leader in commercial data analysis.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Join a fast-paced environment with excellent career advancement potential.
  • Why this job: Make a real impact by driving data-driven decisions in a dynamic team.
  • Qualifications: Advanced MS Excel skills and experience with Power BI required.

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

Watkin Jones are looking to appoint a commercially minded data analyst who turns complex data into clear, compelling insight that drives senior decision-making. The Commercial Data Analyst will play a key role in driving data-driven decision-making within the commercial team. This position will support the Group Commercial Director by providing deep insights into commercial performance, identifying trends, and highlighting areas for improvement.

The Commercial Data Analyst will leverage data to enhance operational efficiencies to ultimately drive commercial success across the business. The role involves managing and analysing commercial data to ensure accuracy, insight, and accessibility, while producing regular and ad-hoc reports to support commercial decision-making.

Working closely with the Group Commercial Director, the postholder will identify key performance indicators, analyse trends affecting tenders, procurement, contract performance, and costs, and provide market and competitor insights. They will also identify opportunities to improve processes, driving greater efficiency and effectiveness across commercial activities.

About you: You are an advanced user of MS Excel, with strong experience in Power BI and a proven ability to model, analyse, and visualise data effectively. You are comfortable adapting quickly to new and evolving digital platforms and enjoy working in a data-driven environment.

Commercial Data Analyst employer: Watkin Jones

Watkin Jones is an exceptional employer that fosters a collaborative and innovative work culture, where data-driven insights are at the forefront of decision-making. Employees benefit from continuous professional development opportunities and a supportive environment that encourages growth and creativity. Located in a vibrant area, the company offers unique advantages such as access to industry-leading tools and resources, making it an ideal place for those looking to make a meaningful impact in their careers.
Watkin Jones

Contact Detail:

Watkin Jones Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Commercial Data Analyst

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, 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, especially those that highlight your ability to turn complex data into actionable insights. This will make you stand out during interviews.

✨Tip Number 3

Prepare for interviews by brushing up on common data analysis questions and scenarios. Be ready to discuss how you've used tools like Excel and Power BI to drive decision-making in past roles.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Commercial Data Analyst

Data Analysis
Commercial Insight
Trend Identification
Operational Efficiency
Report Generation
Key Performance Indicators (KPIs)
Market Analysis
Competitor Analysis
MS Excel
Power BI
Data Visualisation
Process Improvement
Adaptability to Digital Platforms
Data-Driven Decision-Making

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of Commercial Data Analyst. Highlight your experience with data analysis, MS Excel, and Power BI, and don’t forget to showcase any relevant projects that demonstrate your ability to turn complex data into actionable insights.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the role. Mention specific examples of how you've driven data-driven decision-making in previous roles and how you can bring that expertise to Watkin Jones.

Showcase Your Analytical Skills: In your application, be sure to highlight your analytical skills and experience with identifying trends and KPIs. We want to see how you’ve used data to improve processes and drive efficiency in past roles, so don’t hold back!

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status.

How to prepare for a job interview at Watkin Jones

✨Know Your Data Inside Out

Before the interview, make sure you’re familiar with the types of data that Watkin Jones typically works with. Brush up on your knowledge of commercial performance metrics and be ready to discuss how you’ve used data to drive decision-making in past roles.

✨Showcase Your Excel and Power BI Skills

Since this role requires advanced skills in MS Excel and Power BI, prepare to demonstrate your proficiency. Bring examples of reports or dashboards you've created, and be ready to explain how they contributed to business insights or efficiencies.

✨Prepare for Scenario-Based Questions

Expect questions that ask you to analyse a hypothetical data set or identify trends from provided information. Practise articulating your thought process clearly, as this will showcase your analytical skills and ability to derive actionable insights.

✨Highlight Your Adaptability

Watkin Jones values adaptability in a fast-paced, data-driven environment. Be prepared to share examples of how you’ve quickly adapted to new tools or processes in previous roles, and emphasise your eagerness to learn and grow within the company.

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