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Latest Web3 Data Jobs:
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Data Analyst (Compliance) @ Binance
- Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
- Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
- Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
- Be part of a fast-paced industry and organisation where time to market is critical
- Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
- 3-5 years of full-time work experience in an Analytics or Data Science role
- A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
- A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication
- A passion for Emerging Technologies related to Blockchain, Machine Learning and AI
- An analytical software (e.g. R, SAS)
- A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
- A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
- Programming (e.g. VBA, C++, Java, Python)
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- Identify Business Opportunities: Take the lead in exploring new business opportunities for our products and services. Utilise your analytical skills to generate hypotheses and assess the potential benefits of each opportunity, providing valuable insights and driving strategic decisions.
- App User Activity Analysis: Dive deep into user activity within our app to uncover meaningful patterns, correlations, or bottlenecks. Your keen eye for detail will be essential in identifying areas for improvement and optimising user experiences.
- Data-Driven Insights: Leverage various data analysis techniques to transform raw data into actionable insights. Your ability to draw meaningful conclusions will be instrumental in guiding the company towards growth and success.
- Collaboration and Implementation: Work closely with cross-functional teams to implement and measure the impact of the most promising opportunities. Your role as a liaison between the data team and business squads will be essential in ensuring seamless communication and execution.
- Data Ambassador: Be the primary point of contact and ambassador for the data team within specific business squads. Your expertise will play a crucial role in aligning data-related objectives with overall business goals.
- Continuous Learning: Exhibit a hunger for knowledge and continuously strive to ask relevant and insightful questions. Embrace new tools and methodologies to enhance data analysis processes.
- Proven experience as a Data Analyst or similar role, with a track record of delivering data-driven insights to influence business decisions.
- Excellent communication and presentation abilities to convey data insights in a clear and understandable manner.
- Proficiency in SQL
- Experience with data analysis in Python (numpy, pandas, matplotlib)
- Experience with statistics (A/B testing, confidence intervals, hypothesis testing) is a plus
- Ability to collect, organise, and analyse large amounts of information with accuracy and attention to detail.
- Independent and proactive, have the ability to multi-task and work effectively in a fast-paced, cross-functional environment.
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Data Operation Analyst, Binance Content @ Binance
- Collect, analyze, and interpret large datasets to identify trends, patterns, and insights.
- Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions.
- Create visualizations and reports for requested projects.
- Work with cross-functional teams to understand their data needs and provide actionable insights.
- Develop and track OKRs to measure business performance.
- Identify areas for process improvement and recommend solutions to enhance business operations.
- Bachelor’s degree in Business, Computer Science, Information Systems, Statistics, or a related field.
- Minimum of 3 years of experience in business intelligence, data analysis, or a related field.
- Strong analytical and problem-solving skills with the ability to interpret complex data sets.
- Strong proficiency in data analysis tools and software such as SQL, Excel, Python, R, or SAS. Experience with data visualization tools like Tableau, Power BI, QlikView or similar.
- Preferably experienced with Airflow for workflow orchestration and familiar with Spark for handling large-scale data processing.
- Excellent written and verbal communication skills in English, with fluency in additional languages preferred, with the ability to present complex information clearly and concisely.
- High level of accuracy and attention to detail.
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Senior Data Analyst - Compliance @ Binance
- Leading through example: Overseeing high performing, multidisciplinary members of the Data Analyst team, you will design and build complex visualizations and analytical models to help us to meet compliance or regulatory requirements, build several data analytical systems to help business teams improve work efficiency.
- You will work closely with the compliance areas to identify, prioritize and deliver on their most pressing and impactful analytical use case; turning complex findings into simple visualizations and recommendations for execution.
- Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits.
- Support and manage data requests from business stakeholders – can understand business change needs and assess the impact of those changes.
- Responsible for working closely with the compliance areas to identify, prioritize and deliver on their most pressing and impactful analytical use cases.
- Bachelor’s degree and above in a quantitative or engineering field with professional work experience in a relevant field.
- Strong analytical thinking and communication skills.
- Minimally 5 to 8 years of working experience with common analysis tools such as SQL, R, and Python.
- Solid experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.).
- Familiar and comfortable with large volumes of data and big data technology (Hadoop, Redshift, Spark, Presto, hive).
- Experience in working with cross-functional teams to gather requirements and ability to set work priorities.
- Good business sense and logical thinking. Ability to synthesize information and generalize the pattern.
- Experience with regulatory compliance and financial trading analyzing will be beneficial.
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- Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
- Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
- Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
- Be part of a fast-paced industry and organisation where time to market is critical
- Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
- 3-5 years of full-time work experience in an Analytics or Data Science role
- A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
- A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication
- A passion for Emerging Technologies related to Blockchain, Machine Learning and AI
- An analytical software (e.g. R, SAS)
- A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
- A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
- Programming (e.g. VBA, C++, Java, Python)
Binance is hiring a Data Analyst (Compliance)
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Swissborg is hiring a Business Data Analyst
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Binance is hiring a Data Operation Analyst, Binance Content
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Binance is hiring a Senior Data Analyst - Compliance
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Binance is hiring a Data Analyst (International Markets)
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