Data Analyst Apprentice

Assist in building and refining financial models for business planning and investment analysis Support scenario analysis and sensitivity testing across SPV and business unit performance Help prepare monthly reports, financial forecasts and rolling budgets Conduct market and benchmark research to support financial assumptions Work in Excel and, where appropriate, tools such as Google Sheets, Power BI or Python for finance Collaborate with legal and operations teams to understand cost drivers and funding models Document models with clear assumptions and methodologies

Training:

Why choose our Data Analyst apprenticeship?

QA's Data Analyst Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight.

The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across every team and function, including operations, finance, sales and marketing.

At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions.

QA's Data Analyst Level 4 apprenticeship programme enables your organisation to:

Build the skills and capabilities you need throughout your organisation to analyse, interrogate and present technical data, providing informed and valuable business insights to a range of stakeholders. Upskill or reskill your existing workforce with data skills and create analysts for the modern day workplace. Recruit and harness a new talent pathway: QA can help you cost-effectively recruit diverse, ambitious talent into your business and help you build a pipeline of data literacy talent.

Delivered by industry experts with real-world experience, the programme’s content has been designed around real-life skills and includes the additional PL-300 Microsoft Power BI Data Analyst certification (see below). The technical content aligns to and is relevant to employers and the market.

Upon successful completion, learners will be awarded the Data Analyst Level 4 apprenticeship.

Tools and technologies learned:

Learners will learn to use visualisation tools such as (PowerBI, Tableau), SQL Server, SSIS, Python and R programming languages, and Cloud Technologies such as: Azure, AWS, GCP.

Training Outcome:

Potential for a permanent position following the successful completion of your apprenticeship.

Employer Description:
Heirloom Fair Legal is a provider of legal financing focused on UK individual and small business consumer protection claims. We use data and technology to bring efficiency, quality, and risk mitigation to legal finance operations. Backed by a family office and a strong internal capital base, our team has over 20 years of experience in legal, technology, and finance.

Working Hours :
Monday to Friday, 9am - 6pm.

Skills:
Attention to detail,Problem solving skills