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Data & Analytics Manager, Health Industries

  • Location


  • Sector:

    Business services

  • Job type:


  • Salary:

    Not Specified

  • Job ref:


  • Published:

    about 21 hours ago

  • Expiry date:


  • Client:


Job Description

As a member of PwC's Data & Analytics community you will work in multi-disciplinary teams with our clients to develop proof of concept and fully operational diagnostic, predictive and prescriptive solutions to aid the formulation and delivery of financial strategy and operational decisions. You will often be working directly with senior client management, participating in meetings with senior client staff and colleagues to add value to our clients through identifying and delivering benefits which are sustainable.

As a team, we offer continuous learning opportunities (on the job or through formal internal and external training). You will be encouraged to contribute to the team learning and share knowledge via internal presentations, tutoring on internal courses or by contributing material to the knowledge database.

About the role

Data & Analytics capability is essential to the delivery of consulting services in the health sector. We work in close collaboration with other teams in Consulting, delivering complex strategy-led and technology-led transformation for NHS Trusts, Commissioners, Systems, Regional and National teams.

PwC's Data & Analytics team is a well-established group of people with backgrounds in operational research, mathematics, physics, engineering and other quantitative disciplines. We design, build and implement solutions that utilise complex data handling, simulation and visualisation techniques to drive insight, optimise business processes, reduce risk and costs, and grow revenue.,

  • Develop and own client relationships (. frequent interactions with stakeholders, co-lead client workshops);

  • Identify performance improvement opportunities, and provide recommendations;

  • Transfer knowledge and handover to clients;

  • Codify learnings (. data sources, technical approach, analytics); and

  • Own delivery of solution development and client projects

    Desirable skills:

  • Further personal / industry qualifications such as ACA/CIMA or MBA are valued but not considered essential.

  • Master Data Management or Data Strategy development/implementation.

  • Big data (. Hadoop, Mahoot, Hive).

Candidate Description

Whilst the wider Data & Analytics team works across all industry sectors, we are looking for an experienced Manager with expertise and experience of applying data analytics techniques in the health sector.

The team is based predominantly in London but work can be delivered from multiple locations, including overseas, depending on where our clients are.

As an experienced data analytics professional you will be expected to:

  • Contribute to winning new work;

  • Plan and deliver work to integrate with other advisers and the client to add sustainable value;

  • Coach junior members of the team during project delivery; and

  • Acquire and share knowledge to build your own expertise and that of other staff., As an experienced data scientist you will have a proven track record in supporting NHS organisations to solve data and analytics problems. You need to be commercially literate. You will be able to demonstrate an ability to work as part of an integrated team, solve complex problems under pressure, and have excellent communication skills. You will be analytically minded and have the ability quickly to assimilate and apply new techniques and knowledge to deliver insights and solve problems.,

  • Education to Degree level, ideally in data science, engineering, operational research, mathematics or other numerical subject;

  • Significantprevious experience of working on data analytics projects including problem scoping, data requests and data transformation for modelling with minimal senior supervision;

  • Strong understanding of and experience in applying data analytics in the health sector.

  • Experience in facilitating client interaction;

  • You willhave developed proof of concept solutions or perhaps built an operational solution that was deployed into your client's (employer's) environment;

  • You will have the ability to assess modelling needs based on client's situation and recommend the best advanced analytics tools and methods to support them;

  • You must be experienced in handling large complex data sets; and

  • You will have managed a small team and have experience in technical coaching.

    Technical skills

  • Ability to run algorithms to deliver rapid business insight;

  • Ability to lead multiple projects, across a variety of teams;

  • Ability to own client relationships and manage them throughout the engagement lifecycle;

  • Experience of building and developing technology solutions;

  • Ability to transfer knowledge to clients and colleagues;

  • Ability to develop and deliver technical training;

  • Core technical skills in Excel, Alteryx and Business Intelligence visualisation (. Tableau, Qlik and/or Power BI); and

  • Advanced technical skills, in one or more of the following areas: advanced Excel modelling (including VBA), SQL, Simulation (. Anylogic, Simul8), R, Python and/or MS Azure Machine Learning Studio.

    Subject matter expertise:

    Proven experience in applying data science tools and techniques in at least two of the following areas:

  • Operational performance management;

  • Demand and capacity planning;

  • Population health analytics;

  • Financial analysis;

  • Supply chain;

  • Business case modelling/strategic planning;

  • Process simulation and optimisation; and/or

  • Artificial Intelligence (AI).