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 Firms 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 Engineering team you will oversee the administration and optimization of the Tableau Server environment, promoting it meets enterprise-wide business intelligence needs. As a Senior Associate, you will lead complex migrations, mentor team members, and collaborate with cross-functional teams to align analytics efforts with organizational goals. This role presents a unique opportunity to enhance your leadership skills while driving the scalability and performance of our analytics platform.
Responsibilities
Oversee the administration of the Tableau Server environment
Lead complex migrations to enhance analytics capabilities
Mentor team members and support their professional growth
Collaborate with cross-functional teams to achieve business objectives
Align analytics efforts with organizational strategies
Drive improvements in scalability and performance of analytics platforms
Assure that business intelligence needs are met across the enterprise
Analyze user feedback to refine server functionality
What You Must Have
Bachelors Degree
4 years of experience
Oral and written proficiency in English required
What Sets You Apart
Bachelors Degree in Computer Science, IT, or related discipline
Tableau Server Certified Professional or equivalent certification
Leading complex Tableau Server migrations and deployments
Implementing CI/CD pipelines and automation tools
Understanding enterprise data governance and compliance
Planning disaster recovery and failover testing
Managing authentication and security in multi-tenant environments
Utilizing infrastructure automation tools in hybrid setups
Familiarity with monitoring tools for on-prem Tableau Servers
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