A business analyst is a problem solver who for example investigates an issue or area of weakness within an organisation, analyses solutions and helps facilitate the change that is needed.
Are you looking to start a career as a Business Analyst (BA) and need tailored recruitment support and the right qualifications to secure your career?
If you enjoy problem solving and analysing, have good admin skills and communicate well, then a career in this rewarding sector will suit you.
Are you looking to benefit from a new career in Data Analysis?
If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst
We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.
From the earliest project inception, they engage with their clients and partners to deliver on their key project goals through proven methodology.
My clients specialise in panelling systems for large scale construction projects with a core focus on the Education, Commercial and Accommodation markets.
Their driving philosophy is to take ownership of clients' projects as they evolve through each stage of the construction process.
An exciting opportunity has arisen in our high-profile data science team helping shape the future of insurance at Aviva through cutting-edge analytics.
The UK team is recognised as a centre of excellence in our Global Data Science Practice - providing new data-driven insights that improve decision making across the Aviva Group.
The insurance industry is evolving in an age of rapid technological development, and as an organisation Aviva are investing in data science, machine learning and advanced analytics as a distinctive capability.
Contribute to the development of strategy across all areas of the business with high quality financial analysis, applying professional judgement to commercial questions, and supporting decision-making
Full responsibility for the revenue forecasting cycle, working closely with revenue owners to deliver data-drive forecasts and targets
Creation and dissemination of best-in-class management information integrating financial and non-financial data, with clear articulation of causal relationships and commercial consequences