Senior Data Analyst - Institutional Data

Key Skills

Business Development, Data Analytics, Data pipelines, Data science techniques, Data Visualization, Marketing Strategy, PowerBI, Python Programming, QlikView, SQL, Tableau

Job Description

At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 50 million users in over 180 countries globally, OKX empowers every individual to explore the world of Web3. With our extensive range of products and services, and unwavering commitment to innovation, OKX envisions a world of financial access backed by blockchain and the power of decentralized finance.

We are innovative in the way we think, work, and in the products we create. We are also socially responsible by actively participating and encouraging employees to take part in various public welfare activities. With more than 3,000 employees around the world, we believe embracing diversity and inclusion will spark the creation of long-term value for the industry. Come Build the Future with Us now!

What You'll Do

Data exploration and pre-processing

• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Collect, clean, and preprocess large datasets to ensure data quality and reliability

Statistical Analysis:

• Apply statistical methods to analyze data and extract meaningful insights for institutional clients.
• Develop and implement predictive models to support decision-making processes.

Programming Proficiency:

• Utilize programming languages such as Python,etc. for data manipulation, analysis, and visualization.
• Collaborate with cross-functional teams to integrate analytical solutions into business processes.
• Solid knowledge on data modelling (e.g. Random Forest model, Clustering, SVN and so on)

Business Intelligence:

• Interpret and communicate findings to non-technical stakeholders through reports, dashboards, and presentations.
• Collaborate with business units to understand analytical requirements and provide actionable recommendations.

Continuous Improvement:

• Stay abreast of industry trends and advancements in data analysis techniques.
• Identify opportunities for process improvement and automation within the analytics workflow.

What We Look For In You

• Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics, Computer Science).Minimum of 5 years of hands-on experience in data analysis. Prior experience in crypto or traditional finance is preferred.
• Strong proficiency in Python programming languages, etc.
• Proven track record of working with large datasets and performing complex analyses.
• Excellent communication skills in English, with the ability to convey technical concepts to non-technical stakeholders.
• Familiarity with business intelligence tools and data visualization techniques

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• More that we love to tell you along the process!