Data Analyst, Cyber Defense & Engineering - USDS

Responsibilities

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

About the team:
You will be an integral part of the USDS Cyber Defense & Engineering team, responsible for enhancing security tools, identifying vulnerabilities, and comprehending the intricacies of our people and data within USDS. Collaborating cross-functionally with partners within and outside TikTok, our objective is to fortify our products and users' security, aiming to establish TikTok as the most trusted platform.

We are seeking a versatile, forward-thinking, and outcome-driven Data Analyst to propel our projects forward. In this capacity, you will engage with diverse technical and non-technical teams across various regions, contributing to the tracking and development of various initiatives aimed at crafting innovative solutions to complex technical challenges. If you thrive in a dynamic environment and relish the opportunity to shape the strategic trajectory of a large global organization, this role offers an exciting prospect.
The ideal candidate will possess demonstrated problem-solving abilities, sound business acumen, and a track record of collaborating with multiple teams to successfully deliver projects. They should exhibit a genuine passion for safeguarding the security and privacy of our users.

Responsibilities
- Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modeling, coding, analytics, and experimentation) to drive business insight and facilitate decisions.
- Dig into complex data sets and make sense out of them.
- Measure business performance, develop core metrics and create dashboards to track and
understand them.
- Generate actionable insights from data for partners to grow and help support them to drive better and faster decision making.
- Data processing and data quality validation to ensure the best possible data insights are driving the solutions.
- Build data pipelines, optimize ETL processes, ensure data integrity, and find opportunities to add efficiency and automation to everyday tasks.
- Partner with a wide range of stakeholders both within Technology and also with cross-functional teams.

Qualifications

Minimum Qualifications:
- At least 3-5 years of proven experience as a Data Analyst, Data science or Data engineering.
- Bachelor's degree in a relevant field (e.g., Statistics, Data Science, Economics, Computer Science)
- Strong proficiency in data visualisation tools (e.g., Tableau, Power BI) and data analysis tools (e.g., Python, R)
- Excellent SQL skills for data extraction and manipulation
- Strong analytical and problem-solving skills
- Strong technical skills to automate data pipelines for building dashboards
- Ability to work effectively in a cross-functional team environment
- Great communication and presentation skills
- To succeed in the role, you need to be a proactive, self-driven and impact driven person
- Experience in cyber security is preferred