A career in National Special Functions, within Internal Firm Services, will provide you with the opportunity to support service, sector, and market leaders deliver the unique PwC client experience to our clients. You'll play an important part in continuously innovating and improving Firm operations so that we can continue to provide the highest quality of services to our current and prospective clients. Our team focuses on representing data as a strategic business asset to help serve our clients. You'll focus on using data and information across PwC to drive change and improvements in data related operations to help enable the business as well as provide insights related to attendant risks.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
Develop new skills outside of comfort zone.
Act to resolve issues which prevent the team working effectively.
Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
Analyse complex ideas or proposals and build a range of meaningful recommendations.
Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
Address sub-standard work or work that does not meet firm's/client's expectations.
Use data and insights to inform conclusions and support decision-making.
Develop a point of view on key global trends, and how they impact clients.
Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
Simplify complex messages, highlighting and summarising key points.
Uphold the firm's code of ethics and business conduct.
The Business Analyst will represent the GCDO organization as part of the Internal Data Product Team, working closely with the Product Owner and PwC's global stakeholders to capture detailed data requirements, mappings, and gaps. This role will play a critical function in facilitating and supporting subsequent modeling and engineering activities, by ensuring feature-level requirements are decomposed, groomed, and prioritised in the form of user stories/tasks to be delivered within the sprints.
Job Requirements and Preferences:
Minimum Degree Required:
High School Diploma
Minimum Years of Experience:
4 year(s) 4 year(s) in progressive roles within or related to product management, including agile project delivery, business/data requirements gathering, solutions analysis, and data/software platform design and implementations.
Preferred Fields of Study:
Information Technology, Computer Systems Analysis, Management Information Systems, Data Processing/Analytics/Science
The Internal Data Product Management Team is responsible for managing the intake, requirements, and prioritisation of use cases based on demand across global internal stakeholder groups. Our core product offering is to provide stakeholders with access to internal data sets in the form of reusable insight services that are easily accessible, robust, intuitive, secured, and governed.
The Internal Data Business Analyst will work closely with stakeholders to document detailed data requirements and identify mappings/gaps across insights services and data sources curated on the data platform, in order to facilitate the delivery of these requirements by the technical teams and service the needs of our internal stakeholders.
Key success factors for this role include the ability to understand both the functional and technical needs of our stakeholders, document detailed data requirements aligned to stakeholders' needs, identify and communicate gaps and dependencies, decompose features into user stories and tasks, and support the delivery pods throughout modeling, engineering, and testing activities.
As such, the applicant should demonstrate extensive abilities and/or a proven record of success as a team leader:
Understanding business use cases, outlining challenges, opportunities, and solutions for the business stakeholders; assessing the business implications of the application of data within the current business environment;
Documenting business-driven data products requirements from which insight services can be developed based on design standards and reusable architecture patterns;
Capturing detailed requirements, developing data products mapping and lineage documentations so they are technically ready to be communicated with modeling and engineering teams;
Coordinating with business stakeholders and internal teams to ensure comprehensive business analysis and requirement mapping, and that success criteria are met and effectively communicated to the development and testing teams;
Applying analytical skills to understand, map, and document business and data requirements and present these requirements in a manner that is concise, measurable, and flexible enough to meet stakeholder needs;
Participating in planning and prioritisation activities to develop and agree on requirements, program increments, sprint objectives, and release schedules;
Defining and managing user stories and tasks to be completed by the internal data engineering pods in alignment with the product management vision;
Understanding of Agile development principles and experience working on an Agile team (e.g., Scrum, SAFe) with an onshore/offshore delivery model;
Leveraging data-driven product implementation, specifically data engineering, data warehousing and virtualization, and reporting/analytics solutions; and,
Working knowledge with respect to SQL query development and debugging, data modeling concepts, understanding of ETL techniques and technologies, and software development and testing methodologies.