At a Glance
- Tasks: Analyse data, create reports, and improve processes in a fast-paced environment.
- Company: A rapidly growing organisation serving public sector clients across the UK.
- Benefits: Fully remote work, competitive salary, and opportunities for skill development.
- Other info: Join a dynamic team with clear paths for career growth and development.
- Why this job: Make a real impact on decision-making with your data skills and finance expertise.
- Qualifications: Experience in data analysis, SQL, Excel, and Power BI required.
The predicted salary is between 29700 - 36300 £ per year.
Fully remote. Looking for a role where you can combine finance, data analytics, and business insight in a fast-growing organisation? This is an opportunity to take ownership of reporting, forecasting, and data management while working with large datasets that directly influence commercial and operational decision-making. This organisation delivers specialist services to large public sector clients across the UK. They operate in a highly data-driven environment, managing complex contracts, performance metrics, and operational reporting across multiple service lines.
With continued growth and increasing demand for data-led decision making, they are investing in their finance and analytics capability. This role offers the chance to work closely with senior stakeholders while helping to improve processes, reporting, and data quality across the business.
As a Data Analyst, you will sit within the finance function, reporting directly to senior leadership and playing a key role in reporting, forecasting, and data reconciliation.
- Supporting forecasting, planning, and cashflow modelling activities
- Maintaining and enhancing complex Excel-based financial models
- Reconciling data across multiple systems, including Xero, SQL, and Power BI
- Producing reporting for senior leadership on financial performance, operational activity, and key business metrics
- Investigating and resolving data discrepancies across systems
- Building new reports and improving existing reporting processes
- Working closely with finance, operational, and technology teams to ensure data accuracy and integrity
Strong commercial experience in a Data Analyst, Finance Analyst, Management Accountant, or similar role.
- Advanced Excel skills, including financial modelling and complex data analysis
- Practical experience using SQL to query and validate data
- Experience building, maintaining, or enhancing Power BI reports and dashboards
- Strong understanding of accounting principles and financial reporting
- Experience working with large, complex datasets and reconciliations
- Ability to identify data quality issues and implement solutions
- Exposure to both finance and data analytics projects
- The chance to shape reporting processes and improve data maturity across the organisation
- Clear opportunities to develop your technical and commercial skills as the business continues to grow
If you're a Data Analyst with strong finance expertise, Excel capability, and experience working with SQL and Power BI, we'd love to hear from you.
Data Analyst SQL Python Tableau in England employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst SQL Python Tableau in England
✨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 SQL Python Tableau in England
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.
