Industry/SectorNot Applicable
SpecialismData, Analytics & AI
Management LevelAssociate
Job Description & SummaryAt 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.
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.
The Opportunity
As part of the Data and Analytics Engineering team you are expected to work with data extraction, data cleansing, and data wrangling using tools like Python and SQL. As an Associate you are expected to focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You are expected to be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by enhancing your technical knowledge of firm services and technology resources.
Responsibilities
- Work with data extraction, cleansing, and wrangling using tools like Python and SQL
- Participate in client engagement and project tasks
- Develop skills and knowledge to deliver exceptional work
- Build and maintain meaningful client relationships
- Learn to manage and inspire team members
- Expand technical knowledge of firm services and technology resources
- Contribute to the growth of your personal brand
- Adapt to changing project requirements and environments
What You Must Have
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
- 1 year of experience
What Sets You Apart
- Demonstrating knowledge in Python and data extraction
- Utilizing SQL and relational databases
- Data modeling and data mapping skills
- Experience with data integration tools
- Understanding systems development life cycles
- Building data pipelines with relational databases
- Analyzing large data sets and deriving insights
- Leveraging computer science fundamentals
- Utilizing agile development processes
Travel RequirementsUp to 80%
Job Posting End DateLearn more about how we work: ;br>
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: ;br>
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.
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: ;br>
The salary range for this position is: $63,000 - $140,000, 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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