Data Validation Risk - Senior Associate

PwC•Washington, DC

1d•$77,000 - $202,000•Onsite

About The Position

As a Data Validation Risk - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Technology Consulting practice, you will focus on utilizing your skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, anticipate the needs of your teams and clients, and deliver quality work. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. In this role at PwC, you will be part of a team that focuses on leveraging data to drive insights and make informed business decisions. You will have the opportunity to develop a deeper understanding of the business context and how it is changing, using critical thinking to break down complex concepts. By responding effectively to diverse perspectives and needs, you will uphold and reinforce professional and technical standards, contributing to the firm's overall business strategies. This position offers a dynamic environment where you can grow your skills and make a significant impact.

Requirements

At least a Bachelor's degree
At least 2 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
Demonstrating proficiency in data validation and quality improvement plans
Utilizing advanced data analysis tools like Alteryx and Power BI
Excelling in complex data analysis and predictive modeling techniques
Navigating ambiguity with critical thinking and problem-solving skills
Building meaningful client relationships through effective communication and active listening

Responsibilities

Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making
Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems
Building meaningful client connections and managing relationships to anticipate and address client needs
Navigating complex situations to grow personal brand and deepen technical skills
Developing and implementing data validation processes to maintain data integrity and security
Conducting exploratory data analysis to inform insights and recommendations for strategic goals
Creating dashboards and visualizations using tools like Power BI and Tableau to enhance data presentation
Collaborating with teams to integrate data-driven insights into client operations and optimize performance