Job Description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Senior Associate

& Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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 Data and Analytics Engineering team you will design and build innovative data analytics solutions that meet client needs. As a Senior Associate you will analyze complex problems, mentor junior team members, and maintain exemplary standards while building meaningful client relationships. This role offers the chance to deepen your technical knowledge and navigate increasingly complex situations, all while contributing to impactful projects that drive the firm's success.

Responsibilities

- Analyze intricate problems and provide actionable insights

- Navigate complex situations to achieve project objectives

- Contribute to impactful projects that align with firm goals

- Enhance technical knowledge through continuous learning

What You Must Have

- Bachelor's Degree

- At least 2 years of experience

- In lieu of aBachelor's Degree , demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college.

What Sets You Apart

- Master's Degree in Computer and Information Science, Technology Mathematics, Data Processing/Analytics/Science, Engineering preferred

- Demonstrating proficiency in designing data analytics solutions

- Delivering innovative data integration for various scenarios

- Advising on data models and architectures

- Working with our local and Global teams to align and integrate our data solutions with other initiatives

- Creating dashboards for clear information presentation

- Assisting in the adoption of new data platforms

- Performance tuning for enhanced user experience

- Communicating complex data solutions effectively

- Working experience with databases, and their modeling, querying and integration options, including relational (SQL), multi-dimensional (MDX) and tabular (DAX), Alteryx

While a successor pool has been identified for this role, interested parties may self nominate in order to be considered.

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $55,000 - $151,470. For residents of Washington state the salary range for this position is: $55,000 - $187,000. 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-glanceAs 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-workFor 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.