Associate / Senior Associate - Advisory Deals - Shared Delivery Services (Data Analytics)

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Deal Strategy

Management Level

Senior Associate

Job Description & 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.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

PwC Indonesia is an inclusive and equal-opportunity employer that does not discriminate based on physical disabilities, gender, race, religion, or age. Your application will be treated fairly and assessed solely based on job requirements and competencies.

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.

Job description Data Analytics

• Leverage data analytics technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
• Work effectively cross engagement team members in analyzing data into obtaining business insights and research outcomes.
• Manage work streams and project deliverables with other team members.
  Build strong internal relationships within Advisory services with other services across organizations.

Preferred skills Data Analytics

• Minimum Bachelor's Degree in Data Analytics, Business Studies or equivalent, minimum GPA 3.0/4.0 from reputable universities

• For Senior Associate: Minimum 3 to 4 years relevant experience in a professional service firm with strong experience in statistical modeling, decision modeling, machine learning and deep learning techniques such as regression, classification, clustering, etc.

• For Associate: Fresh graduates are welcome to apply.

• Analytical and problem-solving skills combined with experience in leveraging data analytics to drive insights and business decisions.

• Experience and familiarity in the following analytics and visualization tools such as: R, Python, Power BI or equivalent.

• Comfortable with ambiguity and applying creativity to solve complex problems.

• Demonstrated ability to adapt quickly and manage an environment of rapid change and development, and lead others through this process.

• Readiness to learn and eagerness to grow, not only in technical but also business acumen

• Strong attention to details and ability to multitask.

• Team player with good communication skills.

• Preferably, have a certification related to Data Analytics.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation, Empathy {+ 17 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Up to 40%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date