At a Glance
- Tasks: Transform data into actionable insights and create impactful visualisations for clients.
- Company: Leading strategy consulting firm with a focus on data-driven solutions.
- Benefits: Competitive salary, dynamic projects, and opportunities for professional growth.
- Other info: Fast-paced environment with diverse client engagements and excellent career advancement potential.
- Why this job: Join a high-performing team and influence major business decisions through data analytics.
- Qualifications: Strong background in data analytics, SQL or Python skills, and experience with visualisation tools.
The predicted salary is between 60000 - 80000 £ per year.
This is an opportunity to join a high-performing strategy consulting environment where data and analytics play a central role in solving complex commercial problems. You will work on varied, project-based engagements that directly influence client decision-making, combining technical expertise with storytelling to deliver clear, actionable insight.
They are a leading strategy consulting firm with a strong track record in mergers and acquisitions, corporate strategy, and operations. Their Data and Analytics function sits within a broader core services team and partners closely with consultants across the business to deliver impactful client solutions. You will work across diverse client engagements, translating data into meaningful insights that drive business decisions.
- Delivering end-to-end analytics on client projects, from data exploration through to visualisation and insight delivery.
- Building dashboards and reports using tools such as Tableau or similar platforms.
- Using SQL or Python to manipulate and analyse structured and unstructured datasets.
- Developing clear, compelling narratives to explain what the data shows and why it matters.
- Supporting ad hoc commercial analysis across sectors such as retail and education.
- Contributing to projects such as location strategy modelling and market demand analysis.
Strong commercial experience in data analytics, ideally within consulting or a similarly fast-paced environment. Proficiency in SQL or Python for data manipulation and analysis. Experience with data visualisation tools such as Tableau, Power BI, or equivalent. Ability to translate complex data into clear, concise business insights. Solid academic background in a quantitative or STEM-related discipline.
Consultant Digital Senior F/H in London employer: Harnham
Join a leading strategy consulting firm in London, where you will thrive in a high-performing environment that values data and analytics as key drivers of business success. With a strong focus on employee growth, you will have access to diverse projects that enhance your skills while collaborating with top-tier professionals. The company fosters a culture of innovation and teamwork, ensuring that your contributions directly impact client outcomes and your career trajectory.
StudySmarter Expert Advice🤫
We think this is how you could land Consultant Digital Senior F/H in London
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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.
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We think you need these skills to ace Consultant Digital Senior F/H in London
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.
