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Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's 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.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.

Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.

Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.

Develop skills outside your comfort zone, and encourage others to do the same.

Effectively mentor others.

Use the review of work as an opportunity to deepen the expertise of team members.

Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

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 Data and Analytics team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager, you will motivate and inspire your team, leveraging their unique strengths to deliver exceptional client service while maintaining rigorous standards of quality and integrity. This role offers the chance to work with innovative technologies and collaborate on transformative projects that shape the future of data management and analytics.

Responsibilities

• Lead the creation and execution of data-driven strategies to enhance business performance
• Inspire and motivate team members to leverage their strengths for exceptional client service
• Maintain the delivery of quality work while adhering to ethical standards
• Collaborate on innovative projects that advance data management and analytics
• Utilize advanced technologies to refine decision-making processes
• Foster a culture of continuous improvement and professional development
• Manage project timelines and deliverables effectively
• Analyze complex data sets to derive actionable insights

What You Must Have

• Bachelor's Degree
• At least 5 years of experience

What Sets You Apart

• AWS Certified Data Analytics / Solutions Architect
• Azure Data Engineer / Azure Solutions Architect
• Google Professional Data Engineer
• DAMA CDMP (Certified Data Management Professional)
• Informatica Certified Professional
• Alation Certified Data Catalog Professional
• Collibra Certified Ranger/Steward/Expert
• SAP Certified Application Associate - SAP Master Data Governance (MDG)
• SnowPro Core / SnowPro Advanced
• Databricks Certified Data Engineer / Data Analyst / ML
• Proven leadership in data-driven strategies
• Experience in defining data governance frameworks
• Understanding of modern cloud data architectures
• Knowledge of data warehousing concepts
• Familiarity with big data engineering tools
• Proficiency in SQL and data visualization tools
• Experience in designing advanced analytics solutions
• Coaching and collaborating with team members

Travel Requirements

Up to 80%

Job Posting End Date

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.

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