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Senior AssociateJob 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.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 isnt 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:
Job description Data Analytics
Preferred skills Data Analytics
Minimum Bachelors 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 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Up to 40%Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Full-Time