Analytics Manager at Jellyfish guiding the Analytics team in Seoul. Empowering clients with exceptional analytics services and mentoring junior analysts.
About the role
- Data Analyst leveraging analytics and technical skills to innovate data solutions at Capital One. Collaborating with business teams to design and develop metrics, tools, and dashboards.
Responsibilities
- Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
- Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
- Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
- Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
- Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
- Drive analysis that provides meaningful insights on business strategies
- Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
- Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
- Build and execute tools to monitor and report on data quality
Requirements
- Degree specialized in a Science, Technology, Engineering, Mathematics discipline
- Scripting experience in (Python, R, Spark, and SQL)
- Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
- Experience utilizing and developing within Snowflake services
- Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree.
- At least 1 year of experience working with at least one scripting language
- At least 1 year of experience utilizing business intelligence visualization tool
- At least 1 year of experience querying, analyzing and working with data languages and platforms.
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline (preferred).
- At least 2 years of experience coding in Python, R, Spark, or SQL (preferred).
- At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. (preferred).
- At least 1 year of experience utilizing and developing within AWS services (preferred).
- At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ) (preferred).
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
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