At a Glance
- Tasks: Analyse data using SQL and Python to deliver impactful insights for clients.
- Company: Reputable consulting firm known for strategic analytics and client collaboration.
- Benefits: Competitive salary, bonuses, hybrid work model, and career progression opportunities.
- Other info: Work on diverse projects across sectors with experienced professionals.
- Why this job: Join a dynamic team and make a real difference in strategic decision-making.
- Qualifications: Experience with SQL, Python, and data visualisation tools; strong communication skills.
The predicted salary is between 40000 - 50000 £ per year.
London (Hybrid, 3 days in office) | Up to £54,000 + £8,000 bonus + additional company performance bonus
Looking to combine analytics, strategy, and client-facing consulting in one role? This is an opportunity to join a highly regarded consulting business where data and analytics sit at the heart of strategic decision-making. You will work on a diverse range of projects, helping organisations answer complex commercial, public sector, and location-based questions through data.
The Company
They are a specialist consulting firm with an international presence and a strong reputation for delivering strategic insights across a range of sectors. Their work spans analytics, marketing strategy, private equity, mergers and acquisitions, and commercial advisory projects. The business combines consulting expertise with advanced analytical capabilities to help clients make evidence-based decisions. You will join a collaborative Analytics team that works closely with senior stakeholders across multiple engagements.
The Role
You will work as a Senior Associate within the Data & Analytics function, supporting a variety of client projects and delivering high-impact analytical solutions. Responsibilities include:
- Using SQL and Python to analyse large and complex datasets
- Delivering location and demographic analysis to support strategic recommendations
- Building clear and insightful data visualisations for clients and internal stakeholders
- Translating analytical findings into actionable business recommendations
- Working across projects in both public and private sector environments
- Collaborating with consultants, analysts, and senior leaders to deliver client outcomes
- Presenting findings confidently to both technical and non-technical audiences
Your Skills & Experience
- Strong commercial experience using SQL for data analysis
- Experience working with Python for data manipulation, analytics, or modelling
- Knowledge of data visualisation tools such as Tableau, Power BI, or similar
- Strong communication and stakeholder management skills
- Ability to explain complex analytical concepts clearly and confidently
- Experience delivering insights that support business or strategic decision-making
- Strong academic background with a degree from a leading university preferred
What They Offer
- Exposure to a wide variety of consulting and analytics projects
- Structured career progression within a growing analytics function
- Opportunity to work alongside experienced consultants and analytics leaders
Data Analyst 198740 employer: Harnham
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StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst 198740
✨Get Involved in Data Science Meetups
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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 Data Analyst 198740
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.
