Consulting - Data & Analytics - BI Manager

Recruiter
PWC-1
Location
Lancashire
Salary
Competitive
Posted
13 Nov 2018
Closes
15 Nov 2018
Contract Type
Permanent
Hours
Full Time
PwC helps a variety of organisations harness the value of their data. Using innovations in data analytics and human insights, we help clients collect data, analyse it and use it to understand potential futures, improving business performance and transforming the way they work.

As part of PwC's strategy to embed data analytics in how we operate and the services we offer to our clients, the Consulting Practice (Technology Competency) is looking to recruit individuals with a proven track record in Data and Analytics Technologies (DAT), specifically Data Management at the Manager grade.

We support the wider Consulting firm in embedding Data & Analytics in everything we do for our clients, and often deliver DAT solutions as part of wider technology-enabled business transformation.

We are particularly focussed on:Helping clients do much more with the volume of data they have available

Providing clients with solutions that are tailored to meet their specific business problems

Engaging with stakeholders across our clients' businesses to deliver Data Analytics solutions

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

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) to SMEs specialising in specific technologies or industry verticals

A successful candidate must understand a client's business and be able to dive deeply into their issues and requirements. Assignments will vary and will involve managing small teams/work streams, providing expert consultancy, mentoring and acting as a "trusted advisor" to clients. Relationships will run from business and IT specialists to senior management.


The role, largely based at Client sites (~90%) will involve providing key technical advice to clients within the Data Management 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 Consultancy practice including other team members from the Information Management 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 proposing effective solutions.

Essential Candidate Traits:Creative thinking

Intellectually agile

Demonstrated client management

Excellent interpersonal skills

Strong technical abilities combined with business acumen

Track record of working as part of a team

Ability to stay current with business and industry trends

Ability to adapt quickly to diverse environments/challenges

Good understanding of Data Management

Education to degree level or equivalent.

Data Management work stream/project management

Awareness of business issues for Data Management project delivery

Ability to develop new approaches and tools to solve client problems

Lead and mentor junior team members (from both client and PwC)

Technical Requirements:
You should have good delivery knowledge in at least one of the following areas:Data Architecture

Master Data Management

Data Modelling

Data Warehousing

Big Data

Data Quality

Data Integration

Data Governance

You should:Be able to prove and demonstrate experience in at least one Data Management vendor. Possibly certified

Be able to lead technical delivery of a Data Management solution with minimal support.

Desired Skills:SQL Server (database, integration services etc.)

Oracle Data Warehouse

Big Data Technologies including Hadoop / Map Reduce

Programming experience (SQL, VBA, VB.net) or similar

Knowledge of offerings from vendors including Informatica, Oracle, Microsoft, SAP, IBM

Cloud Data Storage / Integration

GDPR

Prince2

ITIL

TOGAF


About PwC

We're one of the world's leading professional services organisations. From 158 countries, we help our clients, some of the most successful organisations on the globe, as well as its most dynamic entrepreneurs and thriving private businesses, to create the value they want. We help to measure, protect and enhance the things that matter most to them.

The skills we look for in future employees

All our people need to demonstrate the skills and behaviours that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviours make up our global leadership framework, 'The PwC Professional' and are made up of five core attributes; whole leadership, technical capabilities, business acumen, global acumen and relationships.

Learn more here

Diversity

We work in a changing world which offers great opportunities for people with diverse backgrounds and experiences. We seek to attract and employ the best people from the widest talent pool, as well as those who reflect the diverse nature of our society. And we aim to encourage a culture where people can be themselves and be valued for their strengths. Creating value through diversity is what makes us strong as a business and as an organisation with an increasingly agile workforce, we're open to flexible working arrangements where appropriate.

Learn more here