Enterprise Risk and Control Solutions - Data Analytics - Manager

PwC; New York (NY); On-site; USD 99,000 - 232,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k

Holiday pay

Vacation

Personal and family sick leave

Job summary

PwC is seeking an Enterprise Risk and Control Solutions - Data Analytics - Manager to lead data analytics projects, drive insights from large datasets, and mentor junior staff.

You will develop visualization solutions with Power BI and Tableau, ensure data integrity and security, collaborate with clients, and apply statistical modeling to solve business challenges. This role emphasizes leadership, strategic planning, and delivering high-quality results with integrity and innovation.

Qualifications

• Bachelor's degree is required.
• Minimum 5 years of experience in data analytics or a related field.

Responsibilities

• Lead data analytics projects to drive insights and strategic decisions.
• Develop and implement data visualization solutions using Power BI and Tableau.
• Ensure data integrity and security within analytics frameworks.
• Collaborate with clients to understand data needs and deliver tailored solutions.
• Mentor and coach team members to grow analytics capabilities.
• Apply statistical modeling and predictive analytics to solve business challenges.

Skills

Data analytics

Team leadership

Mentoring

Client collaboration

Decision making

Education

Bachelor's degree

Tools

Power BI

Tableau

Python

SAS

MS SQL

Databricks

AWS/Azure/GCP

Job description

The Opportunity

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 anequal 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.