Global Data Analytics Audit Senior

Responsibilities

About ByteDance
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us
Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
Join us.

About
Internal Audit is a global function responsible for providing independent assurance and evaluating the company's risk management, governance and internal control processes to determine if they are designed and operating effectively. The Internal Audit team plans and executes audit projects according to our risk-based audit plan by evaluating financial, compliance, operational, and IT processes and controls. We work with business functions in addressing risks and improving the control environment through timely and comprehensive audit work and tracking of remediation actions until completion.

Hybrid Work Model: We are back to the office with a hybrid work model, with employees working in the office three days per week.

Team Introduction
Internal Audit is a global function responsible for providing independent assurance and evaluating the company's risk management, governance and internal control processes to determine if they are designed and operating effectively. The Internal Audit team plans and executes audit projects according to our risk-based audit plan by evaluating financial, compliance, operational, and IT processes and controls. We work with business functions in addressing risks and improving the control environment through timely and comprehensive audit work and tracking of remediation actions until completion.
We are looking for professional data analysts who will power our mission with data engineering, data analytics technology and rich experience of data handling, continuous auditing

Responsibilities
- Data Inventory: Understand and identify an inventory of applications, databases, and data warehouses across ByteDance.
- Manage and implement continuous auditing and data analytics scenarios, including identifying and analyzing risks, planning and prioritizing the work, conducting interviews, observing systems and operations. Developing queries and testing strategies, including techniques to confirm the completeness and accuracy of the data used in data analytics and continuous audit testing.
- Own and implement a Continuous Auditing (CA) and Data Analytics (DA) strategy that will translate into a running list of CA and DA use cases that can automate the evaluation of the design and effectiveness of controls.
- Systematically organize the relationship between business processes, risks, and data, as well as provide comprehensive and meaningful data knowledge accumulation to the audit team.
- Stakeholder Relationships: Develop and maintain collaborative working relationships with stakeholders.
- Professional Development: Continue to develop and expand knowledge of the audit profession, data analytics practices, machine learning, AI, our industry, and ByteDance products and information through self-study, research, and continuing education efforts.

Qualifications

Minimum Qualifications
- Experience with large scale data processing techniques, familiar with ETL processes, Hadoop, Flink and Map Reduce. You have helped define architecture, data modeling, tooling for a large-scale data processing system, data lakes or warehouses.
- Proficiency in SQL and at least one mainstream programming language (Python or R).
- Experience with data integration, ETL processes, and large-scale data processing systems.
- Experience with cloud-based infrastructure.
- Experience in implementing change data capture patterns.
- Experience in implementation of data quality checks and data observability platforms.
- Experience building and managing data products practiced in one or more of the following areas: data analytics solutions for continuous audit programs, including automating common analyses and recurring audit check procedures; product, business or marketing analytics where core metrics are developed and monitored continuously. End-to-end experience from ETL to dashboards is required.
- Experience developing, implementi