Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.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.Job Overview: As a Snr BIBA within our Data Conceptualisation competency you will be responsible for bridging the gap between business requirements and technical solutions. You will play a crucial role in the software development life cycle (SDLC) by designing conceptual, logical, and physical data models. Additionally, you will collaborate closely with various stakeholders, build prototypes, create specifications for developers, perform testing, and develop dashboards and visualizations to empower data-driven decision-making. Key Responsibilities: Collaborate with business stakeholders to gather and understand data requirements. Analyze data sources, perform data profiling, and assess data quality. Design and develop conceptual, logical, and physical data model designs that align with business objectives. Data Model design for Self Service to follow Kimball methodology. Create source-to-target mapping documentation to support data integration efforts. Build data prototypes and proof-of-concept solutions to validate data concepts. Collaborate with development teams to write detailed specifications for data pipelines and transformations. Conduct thorough testing and validation of data solutions to ensure accuracy and reliability. Develop interactive dashboards and visualizations using tools like Power BI. Translate complex data findings into clear and actionable insights for non-technical stakeholders. Stay up-to-date with industry trends and best practices in data management and Business Intelligence. Qualifications: Bachelor's degree or diploma in Computer Science, Information Systems, Business Analysis or a related field. Proven experience in data management, business analysis, BI BA or a similar role. Strong proficiency in SQL for data querying and manipulation. Expertise in conceptual, logical, and physical data modeling based on Kimball methodology. Experience with data integration, ETL processes, and source-to-target mapping. Proficiency in data visualization tools, especially Power BI. Proven experience in Agile project delivery and familiarity with DevOps practices is essential. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Attention to detail and a commitment to delivering high-quality results. Ability to manage multiple tasks and projects simultaneously. Knowledge of data governance and data security best practices is a plus. Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified) Required Skills Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements
Up to 20%Available for Work Visa Sponsorship?
NoGovernment Clearance Required?
YesJob Posting End Date
June 4, 2024
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