People Tech - Analytics Senior Associate

PwC • Tampa, FL • 4h ago

Specialty/Competency: IFS - Information Technology (IT)

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 20%

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 a Bachelor'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

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.

The salary range for this position is: $55,000 - $187,000, 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

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