Data Analyst II
WFA Digital Insight
As demand for data analysts with expertise in digital skills and remote work continues to soar, YipitData stands out with its people-centric culture and emphasis on transparency and ownership. With the market for alternative data expected to grow exponentially, skilled professionals like those who can own a data product end-to-end are in high demand. The company's commitment to using AI as a core working tool, not just a side project, makes it an exciting opportunity for ambitious and impact-driven professionals. Candidates should know that this role requires a strong work ethic and the ability to demonstrate readiness for expanding scope and responsibility. With YipitData's valuation over
Job Description
About the Role
As a Data Analyst II at YipitData, you will be part of the data feeds team, focusing on Kepler, a tractions feed that tracks over $45 billion in US consumer transactions. Your primary responsibility will be to own the Kepler data content end-to-end, driving product success by delivering best-in-class outputs. You will work closely with customers, Product, Data Science, and Engineering to ensure the accuracy, consistency, and reliability of the data feed.The role requires a deep understanding of third-party and proprietary datasets and methodologies. You will be expected to take full ownership of the Kepler data, improving methodologies, implementing QA frameworks, and prototyping enhancements that engineering will turn into robust, reliable data pipelines.
As a key member of the team, you will work cross-functionally to deliver high-quality outputs. Your ability to bring ideas and not just execute on others' will be essential in this role.
What You Will Do
- Own Kepler data content end-to-end, driving product success by delivering best-in-class outputs
- Work closely with customers, Product, Data Science, and Engineering to ensure the accuracy, consistency, and reliability of the data feed
- Take full ownership of the Kepler data, improving methodologies, implementing QA frameworks, and prototyping enhancements
- Build deep expertise in third-party and proprietary datasets and methodologies
- Collaborate cross-functionally with teams across the organization to deliver high-quality outputs
- Bring ideas and not just execute on others' to continuously improve the data feed and processes
- Present directly to investors and clients, communicating complex data insights effectively
- Stay up-to-date with industry trends and emerging technologies to identify opportunities for growth and improvement
- Participate in the development of new data products and features
What We Are Looking For
- Strong analytical and problem-solving skills, with the ability to own a data product end-to-end
- Experience working with large datasets and data feeds, with a focus on accuracy and reliability
- Proficiency in data analysis and visualization tools, such as SQL, Python, and Tableau
- Excellent communication and presentation skills, with the ability to communicate complex data insights effectively
- Strong collaboration and teamwork skills, with the ability to work cross-functionally with teams across the organization
- Ability to work in a fast-paced environment, with a focus on delivering high-quality outputs under tight deadlines
- Strong attention to detail and organizational skills, with the ability to manage multiple projects and priorities
- Bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science
Nice to Have
- Experience working with AI and machine learning technologies
- Familiarity with cloud-based data platforms, such as AWS or Google Cloud
- Knowledge of data engineering principles and practices
- Experience working in a remote or distributed team environment
- Familiarity with agile development methodologies and version control systems, such as Git
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leading market research and analytics firm
- Collaborative and dynamic work environment
- Professional development opportunities, including training and education programs
- Flexible work arrangements, including remote work options
- Access to cutting-edge technologies and tools
- Recognition and reward for outstanding performance and contributions
- Comprehensive health and wellness programs, including mental health support
- Generous paid time off and holiday policy
How to Stand Out
- Develop a strong portfolio showcasing your data analysis and visualization skills, with a focus on accuracy and reliability.
- Practice presenting complex data insights effectively, using clear and concise language.
- Familiarize yourself with industry trends and emerging technologies, such as AI and machine learning, to identify opportunities for growth and improvement.
- Be prepared to discuss your experience working with large datasets and data feeds, and how you ensure accuracy and reliability.
- Highlight your ability to work cross-functionally with teams across the organization, and your experience with agile development methodologies and version control systems.
- Research the company culture and values, and be prepared to discuss how you align with them.
- Prepare to discuss your salary expectations and requirements, and be open to negotiation.
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