Associate 2 - Assurance - Data Analytics - Talent Pool FY26

KAP Rintis, Jumadi, Rianto & Rekan; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

Join a leading company in the assurance sector as an Associate focusing on Data Analytics. In this role, you will leverage data to drive improvements and detect risks, working in a diverse and dynamic environment. Ideal candidates are driven, have a background in STEM, and are proficient with data analysis tools. This is an excellent opportunity to develop your career in a fast-paced setting, contributing to high-quality client solutions.

Qualifications

• Bachelor Degree in STEM is advantageous.
• Background in data analysis, programming, and data governance.
• Strong analytical and problem-solving skills required.

Responsibilities

• Work with data analytics solutions to help clients build trust and improve processes.
• Use advanced analytics and automation tools to drive client decision-making.
• Adapt to varying client needs and challenges in a team environment.

Skills

Data Analysis

Data Visualization

Communication

Problem Solving

SQL

Python

R

ETL

Education

Bachelor Degree in STEM

Tools

Python

SQL

Excel

R

SPSS

Job description

Associate 2 - Assurance - Data Analytics - Talent Pool FY26

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Associate

Job Description & Summary

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls.

Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.

• Appreciate diverse perspectives, needs, and feelings of others.

• Adopt habits to sustain high performance and develop your potential.

• Actively listen, ask questions to check understanding, and clearly express ideas.

• Seek, reflect, act on, and give feedback.

• Gather information from a range of sources to analyse facts and discern patterns.

• Commit to understanding how the business works and building commercial awareness.

• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Requirements:

• Bachelor Degree on STEM (Science, Technology, Science and Mathematics) majors is advantage

• Background and track record of technical knowledge in data analysis, programming, and how these can be used to create value to a client from data analytics spectrum i.e. data visualisation, data analytics, or data governance.

• Experience in data structures (SQL, ETL, SSIS) for data analytics processing.

• Experience in using statistical packages for analysing data (Excel, R, Python, SPSS, SAS) is a plus point.

• Experience in developing or implementing Data Management, Data Governance or AI Governance is a plus point.

• Strong analytical, problem solving, and communication skills. Critical thinking and strong attention to detail.

• Able to articulate a business issue and potential impact without resorting to technical language.

• Ability to multi task, team player, and forward looking, keen to innovate and embrace growing trend in data and analytics.

• Ability to work flexibly and effectively in different teams for varying periods of time whilst still building good working relationships with both colleagues and client personnel at all levels.

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

Degrees/Field of Study required:Degrees/Field of Study preferred: Bachelor Degree

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Accounting Methods, Active Listening, Alteryx (Automation Platform), Auditing, Business Process Improvement, C# Programming Language, Communication, Data Analysis, Data Visualization, Data Wrangling, Emotional Regulation, Empathy, Finance, Financial Risk Analysis, IBM Db2, Inclusion, Intellectual Curiosity, Java (Programming Language), Microsoft Power Business Intelligence (BI), Microsoft SQL Server Data Tools, Optimism, Oracle Applications, Python (Programming Language) {+ 5 more}

Desired Languages (If blank, desired languages not specified)

English

Travel Requirements

Up to 40%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

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