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PwC

Managed Services - Exploratory Data Analysis (EDA) - Senior Associate

Posted Yesterday
Be an Early Applicant
Hybrid
34 Locations
77K-202K Annually
Mid level
Hybrid
34 Locations
77K-202K Annually
Mid level
The Senior Associate will perform statistical tests, evaluate system performance, analyze data, report findings, mentor junior members, and uphold industry standards in data analysis.
The summary above was generated by AI
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
  • Respond effectively to the diverse perspectives, needs, and feelings of others.
  • Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
  • Use critical thinking to break down complex concepts.
  • Understand the broader objectives of your project or role and how your work fits into the overall strategy.
  • Develop a deeper understanding of the business context and how it is changing.
  • Use reflection to develop self awareness, enhance strengths and address development areas.
  • Interpret data to inform insights and recommendations.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity
As part of the Technical Support Analyst team you are expected to perform statistical tests on large datasets and evaluate system performance. As a Senior Associate you are expected to analyze complex problems, mentor others, and maintain top standards. You are expected to gather data, report findings to management, and adhere to industry standard practices in data analysis.
Responsibilities
- Perform statistical tests on large datasets
- Evaluate system performance
- Gather and analyze data
- Report findings to management
- Adhere to industry standard practices in data analysis
- Mentor and guide junior team members
- Maintain rigorous standards in deliverables
- Utilize firm methodologies and technology resources
What You Must Have
- Bachelor's Degree
- 3 years of experience
What Sets You Apart
- Bachelor's Degree in Mathematics, Computer and Information Science, Management Information Systems preferred
- Performing statistical tests on large datasets
- Evaluating system performance and design
- Running data queries and cleaning data
- Reporting data analysis findings
- Documenting processes and maintaining data records
- Performing triage and resolving tickets
- Implementing permanent solutions through RCA
- Reviewing and improving existing solutions
Learn more about how we work: https://pwc.to/how-we-work
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.
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: https://pwc.to/us-application-deadlines
The salary range for this position is: $77,000 - $202,000, 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: https://pwc.to/benefits-at-a-glance

Top Skills

Data Analysis
Data Cleaning
Data Queries
Performance Evaluation
Statistical Tests

PwC Charlotte, North Carolina, USA Office

214 North Tryon Street Suite 4200, Charlotte, NC, United States, 28202

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