As an Enterprise Risk and Control Solutions - Data Analytics - Manager, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Risk & Regulatory practice, you will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Responsibilities
- Leading data analytics projects to drive insights and support strategic decision-making
- Utilizing advanced analytical techniques to extract insights from complex datasets
- Developing and implementing data visualization solutions using tools like Power BI and Tableau
- Managing data integrity and security within analytics frameworks
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Coaching and mentoring team members to enhance their analytical skills
- Conducting exploratory data analysis to identify trends and opportunities for improvement
- Building and maintaining data pipelines to support efficient data processing
- Applying statistical modeling and predictive analytics to solve business challenges
- Engaging in continuous learning to stay updated with emerging data technologies and methodologies
What You Must Have
- At least a Bachelor's degree
- At least 5 years of experience
What Sets You Apart
- 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 complex data analysis and data-driven insights
- Utilizing advanced data visualization tools like Tableau and Power BI
- Excelling in algorithm development and machine learning applications
- Managing data integrity and quality improvement plans effectively
- Leading teams in strategic planning and execution within data analytics
The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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
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.
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.
Learn more about how we work: https://pwc.to/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. 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.
Skills Required
- Bachelor’s degree
- At least 5 years of experience
- Proficiency in complex data analysis and data-driven insights
- Experience with advanced data visualization tools such as Tableau and Power BI
- Experience in algorithm development and machine learning applications
- Experience managing data integrity and quality improvement plans
- Experience leading teams in strategic planning and execution within data analytics
- Preferred field of study: Accounting, Engineering, Data Processing, Analytics, Data Science, Computer and Information Science, Economics, or Finance
- Certification in databases, visualization tools, cloud platforms, or predictive modeling and machine learning
PwC Compensation & Benefits Highlights
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Parental & Family Support — Parental and caregiving benefits are described as extensive, with paid leave for all parents, adoption/surrogacy support, backup child/elder care, and nursing‑parent resources. This breadth signals a family‑forward package that supports a wide range of life stages.
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Healthcare Strength — Health coverage offers multiple medical plan options with pharmacy, One Medical primary care, digital physical therapy, and mental‑health resources such as Headspace, Calm, Talkspace, and EAP. The mix of preventive, primary, and specialty programs suggests strong overall coverage.
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Retirement Support — Retirement programs include a firm‑funded Wealth Builder plan alongside a 401(k) with company matching, plus financial coaching and a student‑loan paydown program. This dual‑vehicle approach provides baseline employer funding with additional savings support.
PwC Insights
What We Do
Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.
Why Work With Us
At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.
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