Business analytics give organizations the ability to prepare and forecast future business interactions and
outcomes. Data is an asset that organizations already own. PwC works with clients to analyse current
data capabilities, develop a strong data foundation and then monetise that data. This process allows for
the harnessing of the power of information to optimise business performance and commercialize data
We are particularly focussed on:
Helping clients do much more with the volume of data they have available through innovation
around advanced analytics and other techniques such as AI and Machine learning.
Providing clients with insight solutions that are tailored to solve specific business problems by
applying our industry expertise combined with deep analytical skills
Engaging with senior stakeholders across our clients’ businesses to deliver D&A solutions aligned
to business strategy and outcomes
Design and implement effective Data Analytics capabilities focussed on delivering business value
We do this by:
Inspecting, cleansing, transforming, modelling and exploiting our clients’ data to support
decision making, deliver business outcomes and adopt an insight to action management approach
Implementing scalable technology enabled solutions to help client process and visualise key insights.
Developing innovative solutions using cutting edge technologies, structured and unstructured information
Implementing governance strategies to ensure the security, integrity, and availability of information
Working with a range of global alliance partners from the largest (Microsoft, Oracle, Google,
SAP) to SMEs specialising in specific technologies or industry verticals
The role, largely based at Client sites (~80%) will involve providing key technical advice to
clients within the Data & Analytics domain.
It is essential that the candidate is capable of delivering high quality work for clients,
demonstrate an understanding of both the client’s business and relevant professional standards.
The candidate will be expected to develop and maintain respectful client relationships at a wide
variety of levels.
Many of the tasks and assignments will involve working with teams that are drawn from a diverse cross section of the PwC Consulting practice including other team members from the Data & Analytics area.
It is crucial that the candidate is able to take advantage of new opportunities for learning,
sharing new knowledge, being intellectually agile and thinking creatively.
The building of internal and external relationships and networks will be highly important as will the ability to consider the needs of others when designing a strategy and delivering a project or programme of work.
Essential skills and experience
Creative thinking and Intellectually agile
Demonstrated senior level client stakeholder management (C suite)
Excellent interpersonal skills
Strong technical abilities combined with business acumen
Ability to stay current with business and industry trends
Ability to adapt quickly to diverse environments/challenges
Good understanding of Data & Analytics Architectures
Education to degree level or equivalent
Data Analytics work stream/project management
Implementation of D&A architectures and solutions including data warehouses, Big Data, MDM and DQM
Awareness of business issues for Data project delivery
Lead and mentor junior team members (from both client and PwC)
Project/Programme leadership and management
Definition of KPIs / metrics and insight requirements
Can articulate business opportunities and business value during Data projects
Has experience of working with and presenting to C-suite
Can develop propositions and take them to market
Establishes new contacts and leverages existing networks
Experience of design and implementation of Information Strategy, Information Architecture and Governance
Experience of designing operating models for D&A
As a Data and Analytics practitioner you will have the opportunity to design, manage and lead a service
offering and take it to market. You will be up-to-date with the latest industry trends with a good
understanding on how to apply D&A techniques to solve your clients’ business problems.Technical Requirements:
You should have good delivery knowledge in at least one of the areas
Be able to prove and demonstrate expertise in at least one Data vendor. Possibly certified.
Have a broader understanding of the Data market and be able to engage in conversations with the C-suite about market trends, lessons learnt, good practices and pros/cons of different vendors in the market.
As a Senior Practitioner, also be able to deliver Information strategy engagements and lead larger Data implementation projects.
Unstructured/big data/Hadoop/NoSQL/MongoDB etc..
Programming experience (SQL, VBA, VB.net) or similar