Job Description
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
As a Deals - Technology and Data Solutions Senior Associate, you will engage in data analysis and modeling to support decision-making and uncover valuable insights. As a Senior Associate, you will focus on building meaningful client connections and developing a deeper understanding of the business context. You will guide and mentor others, navigating complex situations to deliver quality work and grow your personal brand and technical skills.
In this role, you will be part of a dynamic team that leverages data-driven insights to inform strategic decisions. You will work with a variety of data analysis tools and methodologies to transform raw data into actionable intelligence. Your ability to interpret data and anticipate client needs will be crucial in delivering impactful solutions.
Responsibilities
- Conducting complex data analysis to extract meaningful insights and support decision-making processes
- Designing and maintaining data models to organize and structure data efficiently
- Managing data pipelines to validate seamless data flow and quality across systems
- Preparing comprehensive reports to present data-driven insights to stakeholders
- Utilizing data visualization tools to create impactful visual representations of data
- Applying data science techniques to solve business challenges and drive innovation
- Collaborating with cross-functional teams to address client needs and deliver tailored solutions
- Developing predictive models to forecast trends and inform strategic decisions
- Confirming data integrity and security within analytics frameworks
- Engaging in continuous learning to enhance technical skills and stay updated with industry trends
What You Must Have
- Currently pursuing or have completed a Master of Business Administration degree
- At least 3 years of experience
What Sets You Apart
- Demonstrating analytical thinking and data science proficiency
- Excelling in data visualization and communication
- Utilizing data pipeline management for seamless data flow
- Applying complex data analysis techniques for insightful outcomes
- Leveraging statistical modeling for predictive analytics
- Conducting comprehensive customer needs analysis
- Developing and optimizing data integration processes
Learn more about how we work:
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy:
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:
Job Tags
Full time, Summer work, H1b,