Deals - Technology and Data Solutions Associate - Summer/Fall 2026 Save for Later Remove job
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.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Apply a learning mindset and take ownership for your own development.
- Appreciate diverse perspectives, needs, and feelings of others.
- Adopt habits to sustain high performance and develop your potential.
- Actively listen, ask questions to check understanding, and clearly express ideas.
- Seek, reflect, act on, and give feedback.
- Gather information from a range of sources to analyse facts and discern patterns.
- Commit to understanding how the business works and building commercial awareness.
- Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
- Utilizing Alteryx and Microsoft Power Query for data automation and transformation tasks
- Developing and implementing data models to enhance business data analytics and predictive analytics capabilities
- Creating and maintaining data visualizations using tools such as Tableau and Power BI to effectively communicate insights
- Engaging in analytic research to identify trends and patterns in large datasets
- Applying machine learning techniques to develop data-driven insights and solutions
- Reviewing data security and validation to maintain data integrity throughout its lifecycle
- Supporting client engagements by providing data analysis and customer insights
- Collaborating with team members to deliver quality work and meet project objectives
- Adapting to dynamic project requirements and contributing to the development of innovative data solutions
- Building a foundational understanding of data modeling, data integration, and data pipeline management
- Growing personal skills and knowledge in data analysis and business data analytics
- Utilizing tools such as Alteryx, Microsoft SQL Server Data Tools, and Python for data processing and analysis What You Must Have - Currently pursuing or have completed a Bachelor's degree
- Client service associate positions are entry-level roles intended for job seekers who are completing or have recently completed their final academic year of educational requirements What Sets You Apart - Preference for one of the following field(s) of study: Management Information Systems, Data Processing/Analytics/Science, Statistics, Computer Science, Software Engineering, Applied Mathematics, Business Analytics, Finance and Technology
- Preference for a 3.3 overall GPA
- Demonstrating proficiency in Python programming for data analysis
- Utilizing Power BI and Tableau for data visualization
- Conducting complex data analysis to derive actionable insights
- Developing predictive analytics models using machine learning techniques
- Engaging in algorithm development for data-driven solutions
- Validating data security measures to protect sensitive information
-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
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: $61,000 - $100,000, 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:
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