As a Managed Services - Data, Analytics & AI - Associate, you will leverage data to drive insights and make informed business decisions, utilizing advanced analytics techniques to help clients optimize their operations and achieve strategic goals. Within our Data, Analytics & AI Managed Services practice, you will focus on providing strategic insights and driving informed decision-making for clients, developing and implementing innovative solutions to enhance business performance and competitive advantage.
As an Associate, you will be driven by curiosity and contribute reliably to client engagements and projects. You will adapt to working with diverse clients and team members, each presenting unique challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering quality work that drives value for our clients and success as a team. You will build a personal brand, opening doors to more opportunities within the firm.
In this role, you will apply a learning mindset, appreciate diverse perspectives, and adopt habits to sustain performance and develop potential. You will actively listen, ask questions to check understanding, and clearly express ideas, gathering information from various sources to analyze facts and discern patterns.
Responsibilities
- Leveraging data analytics to provide strategic insights and drive informed decision-making for clients
- Developing and implementing innovative solutions to optimize business performance and enhance competitive advantage
- Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards
- Engaging in data analysis and interpretation to support client operations and strategic goals
- Collaborating with team members to gather and analyze data from various sources, identifying patterns and trends
- Applying a learning mindset to continuously develop technical skills and knowledge in data and analytics
- Building and maintaining data pipelines to validate efficient data collection and processing
- Supporting the development of data architecture to enhance data quality and accessibility
- Participating in stakeholder engagement to understand client needs and deliver tailored solutions
- Contributing to continuous process improvement initiatives to drive efficiency and effectiveness in data management
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Utilizing Business Intelligence and Reporting Tools (BIRT) for data-driven insights
- Developing data visualization skills with tools like QlikView and Spotfire
- Applying Python programming for data analysis and interpretation
- Engaging in stakeholder management and competitive advantage strategies
- Demonstrating intellectual curiosity and adaptability in fast-paced environments
The salary range for this position is: $61,000 - $100,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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: https://pwc.to/benefits-at-a-glance
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.
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: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
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.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines
Skills Required
- Bachelor's degree
- At least 1 year of experience
- Background in accounting, analytics or data science, biology or biomedical sciences, business administration or management, computer science or information systems, economics, engineering, finance, financial mathematics or quantitative finance, health administration or public health, mathematics or statistics, operations or supply chain, project or technology management, risk management or insurance, or science
- Experience with Business Intelligence and Reporting Tools (BIRT)
- Data visualization experience with QlikView and Spotfire
- Python programming for data analysis and interpretation
- Stakeholder management and competitive advantage strategy experience
- Intellectual curiosity and adaptability in fast-paced environments
PwC Compensation & Benefits Highlights
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Parental & Family Support — Parental and caregiving benefits are described as extensive, with paid leave for all parents, adoption/surrogacy support, backup child/elder care, and nursing‑parent resources. This breadth signals a family‑forward package that supports a wide range of life stages.
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Healthcare Strength — Health coverage offers multiple medical plan options with pharmacy, One Medical primary care, digital physical therapy, and mental‑health resources such as Headspace, Calm, Talkspace, and EAP. The mix of preventive, primary, and specialty programs suggests strong overall coverage.
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Retirement Support — Retirement programs include a firm‑funded Wealth Builder plan alongside a 401(k) with company matching, plus financial coaching and a student‑loan paydown program. This dual‑vehicle approach provides baseline employer funding with additional savings support.
PwC Insights
What We Do
Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.
Why Work With Us
At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.
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