Managed Services - Data and Analytics - Enhancements Analytics; Qlikview, Tableau - Senior Ass

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision‑making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Focused on relationships, you are building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations, you grow your personal brand, deepen technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear;

you ask questions and use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• 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.

As part of the Data and Analytics team, you will support the development and optimisation of advanced AI models and data solutions. As a Senior Associate, you will lead data architecture initiatives, collaborate with engineers and data scientists, and verify compliance with data governance standards. This role offers a unique chance to enhance your technical knowledge while driving impactful data‑driven strategies.

• Proficiency in using Qlikview, Tableau and Qlik Sense – data visualisation and business intelligence tools.
• Develop, design, and maintain dashboards and reports.
• Data modelling, scripting, and creating interactive visual analytics.
• Understanding of data sources, data integration, and ETL (Extract, Transform, Load) processes.
• Interpret business requirements and translate them into technical solutions using Qlik products.
• Support the development of advanced AI models and data solutions.
• Lead initiatives in data architecture and refinement.
• Collaborate with engineers and data scientists on projects.
• Confirm adherence to data governance and compliance standards.
• Analyze data to drive strategic decision‑making.
• Mentor team members to enhance their technical skills.
• Identify opportunities for innovation in data strategies.
• Communicate findings and recommendations to stakeholders.

• Familiarity with Epic Systems, particularly its reporting modules.
• Experience with generating, customizing, and managing reports within Epic's healthcare software system.
• Knowledge of clinical, operational, or financial data within Epic.
• Ability to extract and analyse data from the Epic database for decision‑making.
• Understanding of healthcare workflows and how reporting supports patient care and administrative processes.

• Bachelor's Degree.
• At least 5 years of experience in data analytics and business intelligence.

• Demonstrating leadership in AI model operations.
• Supporting performance optimisation and monitoring.
• Assisting with prompt tuning and model retraining.
• Participating in incident response and root cause analysis.
• Collaborating with engineers on GenAI applications.
• Utilising orchestration frameworks for pipeline validation.
• Maintaining compliance with data access policies.
• Leading data…