At a Glance
- Tasks: Lead commercial analytics to drive data-driven decisions and identify growth opportunities.
- Company: Join a high-growth, data-led business in London with a dynamic culture.
- Benefits: Competitive salary, hybrid work model, and comprehensive benefits package.
- Other info: Opportunity for ownership and influence in a fast-paced, ambitious environment.
- Why this job: Make a real impact by shaping the commercial analytics agenda at a senior level.
- Qualifications: Experience in analytics, strong SQL and Python skills, and a STEM background.
The predicted salary is between 120000 - 140000 £ per year.
An exciting opportunity has arisen for a Head of Commercial Analytics to join a high-growth, data-led business in London. This is a senior role with significant exposure across the wider organisation, working closely with leadership teams to use data and insight to support commercial strategy and decision-making.
You’ll lead and shape the commercial analytics agenda, helping the business understand performance, identify opportunities and make better, data-driven decisions. You’ll be responsible for:
- Leading commercial analytics across key areas of the business
- Using data to identify trends, opportunities and areas for improvement
- Partnering with senior stakeholders to solve complex commercial problems
- Developing clear, actionable insight from large and varied datasets
- Supporting strategic planning and decision-making
- Improving analytical approaches, processes and ways of working
- Communicating findings clearly to both technical and non-technical audiences
- Balancing strategic thinking with a hands-on approach to analysis
We’re looking for an experienced analytics leader who can combine strong technical ability with commercial judgement. You’ll ideally have:
- Significant experience in commercial, customer, strategy or product analytics
- Excellent SQL and Python skills
- A strong academic background, ideally within a STEM discipline
- Experience working with senior stakeholders and influencing decisions
- Strong problem-solving and analytical skills
- The ability to simplify complex problems and communicate insights clearly
- A pragmatic, entrepreneurial approach and the confidence to operate in a fast-moving environment
This is a chance to join a growing, ambitious business at an exciting stage of its journey. You’ll have genuine ownership over the commercial analytics agenda and the opportunity to influence decisions at a senior level.
Head of Commercial Analytics employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Commercial Analytics
✨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 Harnham!
✨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 Head of Commercial Analytics at Harnham.
✨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 Harnham.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Commercial Analytics at Harnham, 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 Head of Commercial Analytics
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.
