Data Analyst - AI Model Support
Apply NowCompany: TTI
Location: New York, NY 10025
Description:
Data Analyst - AI Model Support
We are seeking an experienced Data Analyst to join our team. The Data Analyst will be responsible for collecting, organizing, and managing various types of data, including regulatory and policy filings, earnings transcripts, analyst reports, earned and social media data, and first and third-party marketing data. This role is pivotal in supporting our data collection, organization, and management efforts for our AI models on the enterprise marketing team, as well as strategic reporting of our marketing performance.
The ideal candidate will have over 10 years of experience in data collection, data management, and data analysis, with a strong analytical mindset and organizational skills.
Qualifications:
Education:
o Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. Advanced degrees or certifications in data analytics or related disciplines are highly desirable.
Experience:
o Minimum of 10 years of experience in data collection, data management, and data analysis.
o Proven track record of working with large datasets and complex data environments.
o Experience in the financial services, regulatory, or marketing sectors is a plus.
Technical Skills:
o Proficiency in data analysis tools and software such as SQL, Python, R, and data visualization tools like Tableau or Power BI.
o Experience with data warehousing solutions and cloud platforms (e.g., AWS, Azure, Google Cloud).
o Familiarity with machine learning frameworks and AI model development is advantageous.
Domain Knowledge:
o Familiarity with regulatory and policy filings, earnings transcripts, analyst reports, earned and social media, and other marketing data is preferred.
o Understanding of data privacy regulations and compliance requirements.
Analytical Skills:
o Strong analytical and problem-solving skills with the ability to interpret complex data sets.
o Ability to develop actionable insights and recommendations based on data analysis.
Communication Skills:
o Excellent written and verbal communication skills to effectively convey insights and recommendations.
o Ability to present complex data findings in a clear and concise manner to non-technical stakeholders.
Organizational Skills:
o Highly organized with the ability to manage multiple projects and deadlines.
o Strong attention to detail and commitment to data accuracy and integrity.
Remote Work:
o Open to remote work with a preference for candidates located in Mexico City.
o Ability to collaborate effectively with a remote team across different time zones.
Responsibilities:
Data Collection:
o Gather data from various sources, including regulatory filings, earnings transcripts, analyst reports, social media, and marketing data.
o Ensure data is collected in a timely and accurate manner, adhering to established protocols and standards.
Data Management:
o Organize and maintain data in a structured manner to ensure easy access and retrieval.
o Implement data governance practices to ensure data quality and consistency.
o Develop and maintain data documentation and metadata.
Data Analysis:
o Analyze data to identify trends, patterns, and insights that can inform our AI models.
o Use statistical methods and machine learning techniques to derive meaningful insights from data.
o Collaborate with data scientists and AI engineers to integrate data findings into model development.
Reporting:
o Prepare reports and presentations to communicate findings to stakeholders.
o Develop dashboards and visualizations to provide real-time insights and monitoring.
o Ensure reports are tailored to meet the needs of different audiences, including executives, managers, and technical teams.
Collaboration:
o Work closely with other team members to ensure data integrity and consistency.
o Participate in cross-functional projects and initiatives to support data-driven decision-making.
o Provide training and support to team members on data-related tools and processes.
Continuous Improvement:
o Identify opportunities to improve data collection and management processes.
o Stay updated with the latest trends and best practices in data analytics and AI.
o Propose and implement innovative solutions to enhance data capabilities and efficiency.
We are seeking an experienced Data Analyst to join our team. The Data Analyst will be responsible for collecting, organizing, and managing various types of data, including regulatory and policy filings, earnings transcripts, analyst reports, earned and social media data, and first and third-party marketing data. This role is pivotal in supporting our data collection, organization, and management efforts for our AI models on the enterprise marketing team, as well as strategic reporting of our marketing performance.
The ideal candidate will have over 10 years of experience in data collection, data management, and data analysis, with a strong analytical mindset and organizational skills.
Qualifications:
Education:
o Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. Advanced degrees or certifications in data analytics or related disciplines are highly desirable.
Experience:
o Minimum of 10 years of experience in data collection, data management, and data analysis.
o Proven track record of working with large datasets and complex data environments.
o Experience in the financial services, regulatory, or marketing sectors is a plus.
Technical Skills:
o Proficiency in data analysis tools and software such as SQL, Python, R, and data visualization tools like Tableau or Power BI.
o Experience with data warehousing solutions and cloud platforms (e.g., AWS, Azure, Google Cloud).
o Familiarity with machine learning frameworks and AI model development is advantageous.
Domain Knowledge:
o Familiarity with regulatory and policy filings, earnings transcripts, analyst reports, earned and social media, and other marketing data is preferred.
o Understanding of data privacy regulations and compliance requirements.
Analytical Skills:
o Strong analytical and problem-solving skills with the ability to interpret complex data sets.
o Ability to develop actionable insights and recommendations based on data analysis.
Communication Skills:
o Excellent written and verbal communication skills to effectively convey insights and recommendations.
o Ability to present complex data findings in a clear and concise manner to non-technical stakeholders.
Organizational Skills:
o Highly organized with the ability to manage multiple projects and deadlines.
o Strong attention to detail and commitment to data accuracy and integrity.
Remote Work:
o Open to remote work with a preference for candidates located in Mexico City.
o Ability to collaborate effectively with a remote team across different time zones.
Responsibilities:
Data Collection:
o Gather data from various sources, including regulatory filings, earnings transcripts, analyst reports, social media, and marketing data.
o Ensure data is collected in a timely and accurate manner, adhering to established protocols and standards.
Data Management:
o Organize and maintain data in a structured manner to ensure easy access and retrieval.
o Implement data governance practices to ensure data quality and consistency.
o Develop and maintain data documentation and metadata.
Data Analysis:
o Analyze data to identify trends, patterns, and insights that can inform our AI models.
o Use statistical methods and machine learning techniques to derive meaningful insights from data.
o Collaborate with data scientists and AI engineers to integrate data findings into model development.
Reporting:
o Prepare reports and presentations to communicate findings to stakeholders.
o Develop dashboards and visualizations to provide real-time insights and monitoring.
o Ensure reports are tailored to meet the needs of different audiences, including executives, managers, and technical teams.
Collaboration:
o Work closely with other team members to ensure data integrity and consistency.
o Participate in cross-functional projects and initiatives to support data-driven decision-making.
o Provide training and support to team members on data-related tools and processes.
Continuous Improvement:
o Identify opportunities to improve data collection and management processes.
o Stay updated with the latest trends and best practices in data analytics and AI.
o Propose and implement innovative solutions to enhance data capabilities and efficiency.