Associate 2 - Assurance - Data Analytics - Talent Pool FY27

PwC; Daerah Khusus Ibukota Jakarta; On-site; IDR 111,600,000 - 167,400,000; Full time

Job summary

A leading professional services firm is seeking an Associate 2 for Assurance in Data Analytics located in Jakarta, Indonesia. The role involves assisting clients in data analytics solutions and requires a Bachelor’s degree in STEM, as well as strong analytical and programming skills. Candidates should be adaptable team players, eager to embrace trends in data and analytics. This full-time position offers an opportunity to grow within a dynamic team environment.

Qualifications

• Background in data analysis and programming to create client value.
• Experience with data structures (SQL, ETL, SSIS) for analytics.
• Strong analytical, problem solving, and communication skills.

Responsibilities

• Assist clients in developing data analytics solutions.
• Use advanced analytics and data wrangling technology.
• Work as a reliable team member adapting to various challenges.

Skills

Data analysis

Programming

Analytical skills

Communication

Problem solving

Education

Bachelor’s Degree in STEM

Tools

SQL

Excel

Python

Job description

Associate 2 - Assurance - Data Analytics - Talent Pool FY26

Join to apply for the Associate 2 - Assurance - Data Analytics - Talent Pool FY26 role at PwC.

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’s Degree in STEM (Science, Technology, Engineering, and Mathematics) majors is an advantage.
• Background and track record of technical knowledge in data analysis and programming, and how these can be used to create value to a client from the data analytics spectrum (e.g., 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, be a team player, forward looking, and keen to innovate and embrace growing trends in data and analytics.
• Ability to work flexibly and effectively in different teams for varying periods of time while still building good working relationships with both colleagues and client personnel at all levels.

Seniority level

Associate

Employment type

Full-time

Job function

Accounting, Auditing, and Finance

Industries

Professional Services