Data Validation Risk - Senior Associate
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
Requirements
- At least a Bachelor's degree
- At least 2 years of experience
- 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 certifications: 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
Qualifications
- Preference for experience in the following areas: Data Validation, Data Science, Machine Learning, Data Engineering, Data Visualization
Skills
- Data Manipulation
- Data Visualization
- Statistical Modeling
- Data Validation
- Data Quality Improvement
- Advanced Data Analysis Tools (Alteryx, Power BI)
- Predictive Modeling/ML (Python, SAS)
- Cloud Platforms (AWS, Azure, GCP)
- Data Validation and Quality Improvement Plans
- Exploratory Data Analysis
- Dashboard Creation
- Client Relationship Management
- Collaboration
Benefits
- Medical
- Dental
- Vision
- 401(k)
- Holiday Pay
- Vacation
- Personal and Family Sick Leave
- Discretionary Bonus
Pay
The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.
Schedule
Full time
Benefits
To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
Equal Opportunity Employer
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.
Los Angeles County Fair Chance Ordinance
PwC does not intend to hire experienced or entry level job seekers that 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
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.