Data Analyst

• You think in systems. You understand how various parts of a system interact, and how cause-and-effect relationships cascade across multiple levels. You are able to design solutions to complex problems by identifying, assembling, and optimizing data sources and workflows.
• You apply mathematical concepts such as linear algebra, calculus, micro/macroeconomics, and statisticsto model systems, identify trends, and solve complex analytical problems. You are fluent in statistical reasoning and understand core concepts such as correlation, causation, and ratios.
• You are persistent and results-driven, committed to solving difficult data problems with rigor, creativity, and attention to detail.
• Strategic thinkers with strong execution skills thrive at Yield Sec. In fact, many of our top analysts excel at competitive role-playing and strategy games. If you're someone who understands systems, analyzes behavior, knows about design mechanics, and ensures success in complex game environments like a great Dungeon Master this may be the perfect fit for you.

• Identify, collect, clean, validate, and transform raw data from diverse sources.
• Use SQL, Python, and spreadsheet tools to manipulate and analyze datasets.
• Build and maintain dashboards and visualizations using Excel, Power BI, and SharePoint.
• Construct data models and conduct statistical analyses to detect trends and generate insights.
• Translate complex analyses into clear, actionable insights for internal and external stakeholders.
• Collaborate with cross-functional teams (e.g., operations, marketing, sales) to support data-driven decision-making.
• Maintain thorough documentation and ensure high standards of data quality, security, and consistency.
• Create compelling presentations and slide decks to communicate insights.
• Deliver value to clients through strategic recommendations, automation opportunities, and performance monitoring.
• Support pilot projects and contribute to the development of new data and market intelligence offerings.

• Bachelors degree in Computer Science, Mathematics, Statistics, Engineering, or related field; or equivalent relevant experience.
• 3+ years of experience in data analysis, data modeling, data visualization, or related roles.
• Solid foundation in data modeling, database normalization, and data transformation workflows.
• Strong storytelling abilitycapable of translating technical findings into business insights.
• Experience handling, scraping, and wrangling large datasets from both public and private sources.
• Excellent written and verbal communication skills, with the ability to interact effectively across all organizational levels.
• Strong organizational, time management, and multitasking abilities.
• Preferred Qualifications
• Experience in fast-paced, data-intensive industries or high-growth environments where data insights deliver a competitive edge.
• Background in algorithmic trading, simulation modeling, or betting strategy development.
• Experience modeling and importing structured datasets (e.g., market datasets).

• Excel (pivot tables, macros, VBA, advanced formulas)
• Power BI, SharePoint Dashboards
• SQL, Python (with libraries such as Pandas, NumPy, Matplotlib)
• Office 365 and Google Workspace (Docs, Sheets, Slides, Gmail)

CPS Asia Pacific