Data Analyst - Financial Decisions and Analysis


£35,000.00 to £55,000.00

Job type: 


Job location: 

  • City of London

Data Analyst - Financial Decisions and Analysis

ConsultTechnology is working with one of the UK’s Big 4 consultancies who are currently seeking to appoint a Data Analyst into their Financial Decisions and Analysis team at a Senior Associate level to be based in London.

The Big 4 Consultancy is looking for people with a commercial mind-set who can quickly get to the crux of business issues and deliver commercial insight to their clients, enhancing the Deal value through compelling analysis.

You will need significant experience demonstrating a number of the following skills:

  • Exceptional analytical and technical aptitude, possess both financial and commercial acumen and enjoy problem solving to understand the drivers of a business, analyse their data and use this to provide insight and advice to our clients;
  • Have an entrepreneurial mindset and self-starter mentality, and be comfortable with a degree ambiguity with little supervision to come up with creative solutions to complex problems and develop these ideas into structured deliverable projects;
  • The ability to manage time, prioritise tasks, self-review your work and produce deliverables of a high quality under tight client deadlines in time pressured environments;
  • A strong desire to acquire and share technical knowledge with colleagues and clients, and proven experience of doing this in your previous role;
  • Passion for technology and new tools and applying and developing yourself to new areas (e.g. quickly getting up to speed with tools, analytical approaches and business challenges);
  • Build collaborative working relationships at all levels, establishing credibility both internally and externally

Technical skills

Practical experience of applying analytical techniques and interpreting their outcomes, for example:

  • Descriptive Analytics - multivariate regression, logistic regression, cluster analysis, factor analysis, ANOVA, dimensionality reduction, natural language processing, time series decomposition, spatial analysis;
  • Predictive Analytics - simulation, regression, time series modelling, classification
  • Prescriptive Analytics - Optimisation, Scenario modelling, operational research
  • Software development lifecycle and methodologies;
  • Understanding of common data quality problems and coming up with ideas of solving these;
  • Experience with data management, cleansing, querying and data manipulation / database tools such as SQL on high-volume, high-dimensionality data from varying sources;
  • Data visualisation;
  • Experience with a number of the following tools: Alteryx, Tableau, Qlikview, Power BI, HTML5, D3, R, SPSS, SAS, Python;

job reference: