Data Analyst - Internal Audit Mid-Platform

About the Team: 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 data analysts who will power our mission by building data products that enable and empower continuous auditing and the identification and discovery of risks throughout various verticals. You will be deploying your data engineering and data analytics skills to be part of the mission to build state-of-the-art analytics products for the audit team. Responsibilities: - Data Analytics Services: Partner with auditors to provide data support and guidance for audit engagements, including conducting interviews, observing systems and operations, developing queries and testing strategies, deploying data quality checks to ensure completeness and accuracy for data sets, and deriving insights. - Data Inventory: Understand and identify an inventory of applications, databases, and data warehouses across ByteDance. - Data Warehousing: develop and maintain data warehouses across different business verticals to efficiently support audit engagements; implement data quality checks for key data assets and continuously collaborate with data partners to maintain completeness and accuracy of these assets. - Automation and self-service analytics: partner with auditors to identify and analyze key risk indicators, contribute to a continuous auditing data strategy that will translate into various use cases and corresponding data solutions that can automate the evaluation of the design and effectiveness of controls; build and maintain ETL data pipelines, as well as dashboards to support the solutions. - Data training and democracy: Systematically organize the relationship between business processes, risks, and data, as well as provide comprehensive and meaningful data democracy to empower the audit team to derive insights. - Stakeholder Relationships: Develop and maintain collaborative working relationships with stakeholders, including data partners and owners across different business verticals. - Professional Development: Continue to develop and expand knowledge in data analytics practices, machine learning, AI, and ByteDance products through continuous education.

Minimum qualifications: - At least 3 years of practical working experience of data analytics, data engineering, analytics engineering, data science or a related field. - Strong 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. - Working knowledge of cloud-based infrastructure such as AWS, GCP, Azure or Snowflake. - Experience in implementation of data quality checks or data observability platforms. - Experience in building and maintaining data products practiced in one or more of the following areas: product, business or marketing analytics where core metrics/KPIs are developed and monitored continuously; data analytics solutions for continuous audit programs, including automating common analyses and recurring checks. Preferred qualifications: - Solid knowledge of large scale data processing techniques is preferred, such as Hadoop, Flink and MapReduce. - Good understanding of data warehouse and data modelling principles would be an added advantage. - Experience in the technology sector, including but not limited to B2C SaaS, media technology, ecommerce, social media platforms, fintech would be preferred. - Experience in working within a decentralized data environment. - Strong business acumen and stakeholder management skills. - Good presentation and storytelling skills. #LI-Hybrid