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AssociateJob Description & Summary
A career within Financial Markets Business Advisory services will provide you with the opportunity to contribute to a variety of audit regulatory valuation and financial analyses services to design solutions that address our clients complex accounting and financial reporting challenges as well as their broader business issues.To really stand out and make us fit for the future in a constantly changing world each and every one of us at PwC needs to be a purposeled and valuesdriven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines geographies and career paths and provides transparency on the skills we need as individuals to be successful and progress in our careers now and in the future.
As an Associate youll work as part of a team of problem solvers helping to solve complex business issues from strategy to . PwC Professional skills and responsibilities for this management level include but are not limited to:
Key Responsibilities:
Data Engineering:
Develop optimize and maintain data pipelines and workflows to ensure eicient data
integration from multiple sources.
Use Python and SQL to design and implement scalable data processing solutions.
Ensure data quality and consistency throughout data transformation and storage processes.
Collaborate with data architects and senior engineers to build data solutions that meet business and technical requirements.
Cloud Technologies:
Work with cloud platforms (e.g. AWS Azure or Google Cloud) to deploy and maintain data solutions.
Support the migration of onpremise data infrastructure to the cloud environment when needed.
Assist in implementing cloudbased data storage solutions such as data lakes and data warehouses.
Data Visualization:
Provide data to business stakeholders for visualizations using tools such as Power BI Tableau or QuickSight.
Collaborate with analysts to understand their data needs and optimize data structures for reporting.
Collaboration and Support:
Work closely with crossfunctional teams including data scientists and business analysts to support datadriven decisionmaking.
Troubleshoot and resolve issues in the data pipeline and ensure timely data delivery.
Document processes data flows and infrastructure for team knowledge sharing.
Required Skills and Experience:
0 years of experience in data engineering working with Python and SQL.
Exposure to cloud platforms such as AWS Azure or Google Cloud is preferred.
Familiarity with data visualization tools (e.g. Power BI Tableau QuickSight) is a plus.
Basic understanding of data modeling ETL processes and data warehousing concepts.
Strong analytical and problemsolving skills with attention to detail.
Qualifications:
Bachelors degree in Computer Science Data Science Information Technology or related fields.
Basic knowledge of cloud platforms and services is advantageous.
Strong communication skills and the ability to work in a teamoriented environment.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Accounting Consulting Accounting Policies Active Listening Communication Complying With Regulations Economic Forecasting Emotional Regulation Empathy Ensuring Compliance With Accounting Standards Financial Accounting Financial Economics Financial Management Financial Market Financial Modeling Financial Regulation Financial Reporting Financial Risk Management Financial Statement Analysis Financial Statement Preparation Financial Strategy Inclusion Intellectual Curiosity Investment Advising 6 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
IC
Full-Time