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.
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 Data and Analytics team you will collaborate with experts to develop innovative Artificial Intelligence solutions. As a Senior Associate, you will leverage your analytical skills to navigate complex challenges, mentor junior team members, and build meaningful relationships with clients while delivering quality results.
Responsibilities
- Collaborate with cross-functional teams to design innovative AI solutions
- Utilize analytical skills to address complex challenges in data
- Mentor junior team members to enhance their technical capabilities
- Build and maintain sturdy relationships with clients to understand their needs
- Oversee the implementation of algorithms into self-sufficient applications
- Monitor and document the performance of AI models for continuous enhancement
- Maintain adherence to established practices in AI development and deployment
- Contribute to the overall strategy of the Data and Analytics team
What You Must Have
- Bachelor's Degree
- Must have 5+ years of on the job experience of working as a Power BI Developer/ Insights Analyst /Alteryx
- Oral and written proficiency in English required
What Sets You Apart
- 5 years of experience in Power BI development
- B Tech, M Tech, or M Sc in Maths or Stats
- Proven experience in developing complex visualizations
- Demonstrating advanced ETL flow development skills
- Excelling in data analysis and query development
- Understanding user-centered design principles
- Designing innovative approaches to enhance quality
- Exhibiting self-motivation and teamwork capabilities
- Possessing leadership and interpersonal skills
Shift time : 12 to 9pm IST
