Data AnalystHarrow, London£50,000 - £55,000 DOE + Holidays + Progression + Autonomy + Expanding Company + Pension Excellent opportunity for a Data Analyst to join a rapidly growing business in West London, where you will play a key role from day one within the key data and financial elements of the business.This company deals with a high volume of PPI and compensation claims, being able to provide results for clients that most claims companies struggle to achieve. They are a very exciting, dynamic and growing business and now require a Financial Data Analyst to help them achieve their desired results and expansion plans.In this role, you will be working with the project manager and using your data knowledge to provide presentations, work with cash flows, data modelling and provide feedback on where the company can improve their efficiencies. You will use tools such as Power BI, SQL, Python as well as Tableau to complete your tasks. Advanced knowledge of Excel is also essential for the right candidate to be considered.The ideal candidate will be a strong and experienced Data Analyst with a degree in a relevant field. Experience using Power BI, SQL and Python is required. You will also need to have experience and skills in presentations, cash flows and data modelling. This is an exciting role where you will have the opportunity to work within a company at the beginning of their planned expansion, allowing for future progression for the right candidate.The Role:
- Collaborate with the project manager to support data-driven decision-making.
- Use your data expertise to deliver presentations, analyse cash flows, and perform data modeling.
- Identify and recommend areas for improving company efficiencies.
- Utilise tools including Power BI, SQL, Python, Tableau, and advanced Excel.
The Person:
- Experienced Data Analyst with a degree in a relevant field.
- Proficient in Power BI, SQL, and Python.
- Skilled in data modeling, cash flow analysis, and delivering presentations.
- Strong analytical and communication abilities to support data-driven insights.