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Description
At PwC, our people in project portfolio management focus on optimising project portfolios to drive strategic business outcomes. These individuals oversee project selection, prioritisation, and resource allocation to facilitate successful project delivery. In programme management at PwC, you will oversee and coordinate multiple projects to facilitate successful delivery and alignment with organisational goals. Your work will involve strong leadership, communication, and problem-solving skills. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples Of The Skills, Knowledge, And Experiences You Need To Lead And Deliver Value At This Level Include But Are Not Limited To: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Future of Work: Research Analysts collect, analyze, and interpret workforce data, supporting the Future of Work team’s research initiatives. They play a crucial role in developing insights that inform workforce strategies, talent planning, and organizational adaptability. Key Responsibilities: Perform detailed data analysis on workforce trends, using both internal and external data sources. Assist in drafting and editing research reports, white papers, and presentations. Conduct qualitative research, such as employee interviews and case studies, to complement quantitative data. Collaborate with other departments to translate research findings into actionable insights. Technical Skills: Data Collection & Survey Design Core Skill : Gathering and processing workforce data from diverse sources. Underlying Abilities: Survey administration: Create and distribute surveys to gather workforce data (e.g., employee satisfaction, job market trends). Data cleaning: Ensure datasets are free from errors and inconsistencies before analysis. Qualitative data collection: Conduct interviews or focus groups to gather deeper insights into workforce behaviors. Application: Research Analysts must be skilled at collecting accurate, reliable data that forms the foundation for meaningful analysis and insights. Statistical Analysis Core Skill: Proficiency in statistical tools such as SPSS, R, Python, or Excel to analyze workforce data. Underlying Abilities: Regression analysis: Analyze relationships between different workforce variables (e.g., job satisfaction and retention rates). Trend forecasting: Use historical data to predict future workforce trends. Data visualization: Create compelling visualizations (charts, graphs) that clearly communicate insights to stakeholders. Application: Analysts must transform raw data into clear, actionable insights that help leadership make informed decisions about workforce strategies. Workforce Benchmarking Core Skill: Compare internal workforce data against industry benchmarks. Underlying Abilities: Identifying key performance indicators (KPIs): Determine which workforce metrics (e.g., turnover rate, productivity) are relevant to compare against competitors. External data sourcing: Access reliable benchmark data from industry reports, government statistics, and third-party research organizations. Gap analysis: Identify gaps between organizational performance and industry standards, providing recommendations to close those gaps. Application: By benchmarking, analysts help the organization stay competitive by identifying areas where workforce strategies can be improved or aligned with industry best practices Report Writing & Documentation Core Skill: Ability to produce clear, detailed, and actionable reports based on workforce data, trend analysis, and research findings. Underlying Abilities: Data synthesis: Compile and summarize complex workforce data, research insights, and trend analysis into structured, accessible reports. Clarity and precision: Ensure that reports clearly communicate key insights and workforce trends, with attention to both detail and accuracy. Visual presentation: Use charts, graphs, and other visual aids to enhance the understanding of data and research findings, making complex information easier to digest for stakeholders. Tailored communication: Adapt report content and tone based on the audience, ensuring that technical reports for analysts differ from strategic reports for executives. Application : Effective report writing in the Future of Work pillar ensures that research findings and workforce trends are conveyed in a manner that is actionable and insightful for decision-makers. These reports are critical for informing workforce strategies, talent planning, and organizational readiness for future shifts in labor markets. Soft Skills: Critical Thinking & Problem-Solving Core Skill: The ability to analyze complex data, identify trends, and develop actionable insights. Underlying Abilities: Hypothesis generation: Use workforce data to generate and test hypotheses about employee behavior and organizational outcomes. Pattern recognition: Identify key trends in workforce data that suggest future risks or opportunities. Solution development: Propose actionable strategies based on data-driven insights to address workforce challenges or optimize talent management. Application : Research Analysts must go beyond simply reporting data—they need to draw conclusions and provide strategic recommendations that drive decision-making. Attention to Detail Core Skill: Ensuring that all research and data analysis is accurate and precise. Underlying Abilities: Data validation : Ensure that datasets are free of errors before analysis. Rigorous editing: Review research reports and presentations to ensure accuracy and clarity before dissemination. Quality control: Maintain high standards for data accuracy and research validity, avoiding misinterpretation or false conclusions. Application: Attention to detail ensures that research outputs are reliable and that insights derived from data are actionable and grounded in fact. Collaboration & Communication Core Skill: Working effectively with cross-functional teams and communicating research insights to various stakeholders. Underlying Abilities Cross-department collaboration: Work with HR, finance, and operations to align workforce data with broader organizational strategies. Presenting research: Effectively present complex data to stakeholders, ensuring they understand its implications for workforce planning. Teamwork: Collaborate with other analysts and researchers to ensure all data and insights are integrated into broader research objectives. Application: Research Analysts must ensure that their findings are effectively shared and used by other teams to support broader strategic objectives. Show more Show less
