At a Glance
- Tasks: Transform complex data into actionable insights that drive business decisions.
- Company: Join a leading data-driven organisation with a focus on growth and collaboration.
- Benefits: Competitive salary, career progression, and ongoing development opportunities.
- Other info: Collaborative culture with exposure to cross-functional teams and global markets.
- Why this job: Make a real impact by influencing strategy in a dynamic, international environment.
- Qualifications: Degree in Data or STEM, strong analytical skills, and advanced Excel experience.
The predicted salary is between 30000 - 35000 £ per year.
This is an opportunity to join a data-driven organisation where commercial insight plays a central role in shaping strategy and growth. You will work across multiple business functions, translating complex data into clear, actionable recommendations that directly influence decision-making at both a UK and global level.
The Company
They are a well-established organisation operating across international markets, with a strong focus on data-led decision-making and continuous improvement. The business brings together teams across sales, marketing, finance, and operations to deliver commercial success. They invest in their people, systems, and tools, creating an environment where analytical talent can have a measurable impact. Collaboration and innovation are central to how they operate.
The Role
- Deliver regular commercial reporting across sales, products, customers, and costs to provide clear performance visibility
- Analyse trends against targets, budgets, and forecasts, identifying key drivers and opportunities for growth
- Produce ad hoc analysis and reporting to support decision-making across business functions
- Interpret customer, product, and market data to highlight risks and opportunities
- Support forecasting, business planning, and target setting through robust data analysis
- Partner with stakeholders across sales, marketing, finance, and operations to provide insights and recommendations
- Contribute to product development and launch analysis, including performance tracking and optimisation
- Support data automation and process improvement initiatives to enhance reporting efficiency
- Conduct market and commercial research to inform strategic direction
Your Skills and Experience
- A degree in Data, STEM, or a highly numerate subject such as Mathematics, Economics, Engineering, or similar
- Strong commercial experience in data analysis within a business environment
- Advanced Excel skills with experience in data manipulation and reporting
- Experience with data visualisation tools such as Power BI or Tableau, or the ability to develop these skills
- Familiarity with SQL or Python for data analysis is advantageous
- Ability to translate complex data into clear, actionable insights for non-technical stakeholders
- Strong stakeholder engagement and communication skills
- High attention to detail with a focus on accuracy and data integrity
- Ability to manage multiple priorities and deliver to deadlines
What They Offer
- Competitive salary and benefits package
- Opportunities for career progression within a growing, data-led organisation
- Exposure to cross-functional teams and international markets
- A collaborative environment where your insights directly influence business performance
- Ongoing development opportunities, including tools and technical skills
How to Apply
Apply now if you are interested in using data to drive commercial performance and make a meaningful impact within a collaborative organisation. Please note we cannot offer sponsorship for this position.
Commercial Analyst in Birmingham employer: Harnham
Join a dynamic and data-driven organisation in Birmingham, where your role as a Commercial Analyst will directly influence strategic decisions and drive growth across international markets. With a strong emphasis on collaboration and innovation, the company offers a competitive salary, a supportive work culture, and ample opportunities for career progression, ensuring that your analytical talents are recognised and rewarded. Experience a hybrid working model that promotes work-life balance while being part of a team that values continuous improvement and employee development.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Analyst in Birmingham
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Commercial Analyst in Birmingham
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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.