Data and Insights Analyst needed at PricewaterhouseCoopers

The role in more detail 

• The majority of the work in this role is analytical and data orientated, but will also require strong relationship building skills and some stakeholder management. 

You will be (non-exhaustive list):

• Working with stakeholder teams to understand reporting and analytics requirements, to identify areas of improvement and implement efficiencies in reporting and insights;
• Working with the Tech Central Data Intelligence team to drive efficiencies and improve current offering;
• Undertaking project based development and delivery of analytical solutions using a range of data transformation/analytic tools in response to stakeholder requirements and feedback, whilst aiming for best practices;
• Working across the whole Data & Insights team (including governance and data lifecycle) to ensure teams, and current and new solutions are aligned and compliant with regulations;
• Identifying ways to streamline efforts and processes across different functions;
• Supporting the consolidation of reporting, insights and dashboards across a variety of stakeholder groups;
• Supporting the data transformation agenda forward utilising technology and analytical thinking to increase efficiencies;
• Applying an agile mindset, demonstrating flexibility to quickly shift priorities of focus to support the extended Data & Insights team;
• Demonstrating clear project planning and time management to ensure work is prioritised and agreed deadlines met.
• Proactively collaborating with others to support cross team initiatives
• Supporting the production of ad-hoc reporting.

As an ideal candidate, you will have:

• Previous analytical experience in a professional environment;
• Previous knowledge of data transformation and visualisation tools and programming languages (e.g. Alteryx, PowerBI, SQL, Python, Databricks);
• Previous experience implementing solutions to simplify processes and create efficiencies using technology;
• Strong problem solving and analytical skills;
• The ability to work within a team and establish strong working relationships with other teams;
• The ability to work effectively in the face of pressure and not compromise professional standards;
• Strong communication skills – particularly the ability to troubleshoot complex problems;
• A customer-focused mindset;
• Passion for change and innovation; and
• Passion for technology and taking personal responsibility to stay on top of new developments. 

 Desirable

• Knowledge of GDPR and Compliance regulations;
• Data science expertise, including Python and machine learning;
• Strong ability to work in a hybrid environment.