Senior Associate

About the job

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary 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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening 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 you 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. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax, and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. As part of the Data and Analytics team you will drive analytics projects within the CPG and Retail domain, delivering data science solutions. As a Senior Associate, you will leverage your knowledge to analyze complex data, mentor others, and foster meaningful client connections. This role provides a platform to influence business strategies and enhance decision-making processes. Responsibilities - Drive analytics projects within the CPG and Retail sectors - Analyze complex data to derive meaningful insights - Mentor and guide team members in their professional growth - Foster substantial connections with clients to understand their needs - Influence business strategies through data science solutions - Enhance decision-making processes with analytical knowledge - Collaborate with cross-functional teams to achieve project objectives - Adapt to evolving industry trends and client demands What You Must Have - Bachelor's Degree - 4 years of experience - Oral and written proficiency in English required What Sets You Apart - Advanced Degree in quantitative discipline - Hands-on experience with CPG & Retail data assets - Proficiency in machine learning techniques and statistical methods - Excelling in developing interactive visualizations - Familiarity with big data & real-time analytics stacks - Ability to translate insights for diverse stakeholders - Experience with ML engineering tools preferred - Knowledge of retail-media impression/click logs preferred Travel Requirements 0%

Qualifications

• Bachelor's Degree