Senior Associate - Consulting - Data & Analytics

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC Consulting Indonesia, we transform the way organization do their business, from strategy to execution. With a team across Southeast Asia, we serve the needs of our clients’ regional markets and support them in building their company of tomorrow. Join our community of solvers -- the PwC Indonesia Consulting team -- and let's make a difference. At PwC, we value your talent, your passion, your whole self.

A career in our Digital, Cloud, and Data focusing in Analytics Technology practice will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. You'll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you'll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.

PwC Indonesia’s Technology Consulting’s vision is to create meaningful relationships with our clients by powering the next generation digital enterprise.

We understand how businesses can capitalise on Data Analytics and Artificial Intelligence and combine deep business and industry insight with digital innovation and bring value to our clients. We identify and implement future technologies that will be important to our clients. Understand how businesses can capitalise on Data Analytics, Big Data, Machine Learning and Artificial Intelligence, and combine deep business and industry insight with digital innovation.

Our focus areas are Data Visualization, Data Mining, Big Data, Artificial Intelligence, Machine Learning and Data Pipeline Automation.

About the Role

You will assist our Professional Staff with assignments including:

Driving the identification and implementation of automation opportunities especially in the context of larger transformations

Ownership of the Data Analytics delivery methodology, process tools, deliverables, decision making milestones and templates

Defining and implementing target operating models, managed services and Centre of Excellence models

Driving the initiative that includes planning and implementation of Machine Learning, Artificial Intelligence and Data and Analytics competencies

As an Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

Invite and give in the moment feedback in a constructive manner.

Share and collaborate effectively with others.

Identify and make suggestions for improvements when problems and/or opportunities arise.

Handle, manipulate and analyse data and information responsibly.

Follow risk management and compliance procedures.

Keep up-to-date with developments in area of specialism.

Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.

Build and maintain an internal and external network.

Seek opportunities to learn about how PwC works as a global network of firms.

Uphold the firm's code of ethics and business conduct.

About you

A minimum of Bachelor's degree in Computer Science, Information Systems, and/or Engineerings from a reputable universities, with GPA minimum 3.00 out of 4.00.

4 - 6 years of work experience in a relevant field of Data Analytic

Hands on experience on Python, R, Scala will be an advantage

Passionate about data and how it can be processed to provide meaningful insights.

Keen to develop themselves in the profession

Highly motivated, enthusiastic, confident and creative

Have a good co-curricular activity record

Possess strong interpersonal and communication skills

Are service-oriented and committed to teamwork and excellence

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

Artificial Intelligence (AI), Big Data, Business, Communication, Creativity, Data Analysis, Data Management, Data Mining, Machine Learning, People Management, Teamwork

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Up to 40%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

Yes

Job Posting End Date