Bytedance - New York, NY

posted about 1 month ago

Full-time - Mid Level
New York, NY
Professional, Scientific, and Technical Services

About the position

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 an analytics engineer who will power our mission by building state-of-the-art 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 analytics skills to be part of the mission to build state-of-the-art data products for the audit team. This role involves developing and maintaining data warehouses, automating processes, and providing data analytics services to support audit engagements. You will also be responsible for developing collaborative relationships with stakeholders and ensuring data quality and integrity across various business verticals.

Responsibilities

  • 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 analysts and partners to maintain completeness and accuracy of these assets.
  • Master the data tools and systems inventory across the company, by being an expert and trainer on the team, in data infrastructure, data applications, and data warehouses.
  • Partner with data analysts and auditors to build and maintain the data warehouse and efficient data models that power key risk indicators dashboards and other data solutions, in support of continuous auditing data strategy.
  • Develop end-to-end AI enabled tools and solutions (incl. front end interface) that automate the evaluation of the design and effectiveness of controls, as well as improve the efficiency of audit field work.
  • 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.
  • Develop and maintain collaborative working relationships with stakeholders, including data partners and owners across different business verticals.
  • Partner with data analysts and auditors to provide data engineering support and guidance for audit engagements, including observing systems and operations, developing queries/ETL, deploying data quality checks to ensure completeness and accuracy for data sets, and facilitating data analysts in deriving insights.
  • Continue to develop and expand knowledge in data engineering practices, machine learning, AI, and ByteDance products through continuous education.

Requirements

  • 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 building and maintaining data products practiced in one or more of the following areas: data infra for product, business or marketing analytics where core metrics/KPIs are developed and monitored continuously; end-to-end data solutions for continuous audit programs, including automating common analyses and recurring checks.
  • Experience in the technology sector, including but not limited to B2C SaaS, media tech, ecommerce, social media platforms, fintech etc.
  • 5+ years practical experience of data data engineering or analytics engineering.

Nice-to-haves

  • Bachelor's degree or above in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics.
  • Working knowledge of large scale data processing techniques, such as Hadoop, Flink and MapReduce.
  • Good understanding of data warehouse and data modeling principles.
  • Experience working within a decentralized data environment.
  • Strong business acumen and stakeholder management skills.
  • Good presentation and storytelling skills.

Benefits

  • 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account (HSA) with a company match.
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
  • Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
  • 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year.
  • 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
  • Mental and emotional health benefits through our EAP and Lyra.
  • 401K company match, gym and cellphone service reimbursements.
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