Data Analytics and Engineering-Senior Associate

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.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.

Skills

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 OpportunityWhen 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 Operate Data Analytics team you will shape and refine data management functions that drive operational excellence. As a Senior Associate, you will engage with clients to deliver data-driven insights, leveraging technologies to enhance capabilities and foster a culture of innovation and continuous improvement.

Responsibilities

• Shape data management functions to drive operational excellence
• Engage with clients to deliver actionable data insights
• Utilize advanced technologies to enhance data capabilities
• Foster a culture of continuous improvement within the team
• Collaborate with stakeholders to align data initiatives with business goals
• Monitor project outcomes and adjust strategies as necessary
• Document processes to maintain transparency and accountability
• Mentor junior team members in data analytics innovative approaches
  

What You Must Have

• Bachelor's Degree
• 4 years of experience
• Oral and written proficiency in English required
  

What Sets You Apart

• More than 4 years of experience in data analytics
• Skilled in Python programming
• Experience in Microsoft Azure environments
• Experience in data warehousing and modelling
• Proficiency in PySpark, Databricks, and Snowflake
• Familiarity with orchestration tools like Azure Data Factory
• Knowledge of Azure DevOps tools and GitHub
• Understanding of data governance frameworks
• Awareness of Power Automate functionalities