Data Analyst - AI/ML

Role Overview: As a Data Analyst at Assent, you will play a crucial role in supporting Data Science & AI initiatives by utilizing your strong SQL, Python, and data visualization skills. Your responsibilities will involve conducting data discovery and knowledge-building exercises, maintaining a central inventory of datasets, performing SQL and Python analysis, developing insights and dashboards, providing ad-hoc support for AI/ML experiments, ensuring data quality assurance, and fostering cross-functional collaboration between business teams and the Data Science & AI group. This position offers a unique opportunity to shape the foundation of data-driven AI innovation at Assent. Key Responsibilities: - Conduct interviews with teams across the organization to understand data sources, locations, and access methods. - Build and maintain a centralized inventory of datasets with metadata, ownership details, quality checks, and access information. - Utilize SQL and Python to query, clean, and analyze datasets for EDA, model development, and feature engineering. - Develop reports and dashboards using tools like Tableau and Sigma to track data quality and AI/ML performance metrics. - Offer on-demand analyses to support AI/ML experiments, audits, and evaluations. - Monitor data accuracy, completeness, and consistency, and develop methods to reconcile disparate data points. - Act as a liaison between business teams and the Data Science & AI group to facilitate smooth data access and knowledge transfer. Qualifications: - 3+ years of professional experience as a Data Analyst, BI Analyst, or in a similar analytical role. - Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or related field. - Strong SQL expertise for querying and transforming large datasets. - Proficiency in Python (Pandas, Polars, Dask, numpy, matplotlib/seaborn, Jupyter) for analysis and visualization. - Experience with Git and version control for managing analytical code. - Demonstrated ability in data cleaning, imputation/interpolation, and transformation at scale. - Hands-on experience with exploratory data analysis and statistical techniques. - Familiarity with BI/reporting tools like Tableau, Sigma, or similar. - Strong organizational and communication skills for effective cross-functional collaboration. - Understanding of AI/ML data workflows and familiarity with data governance practices and cloud environments is advantageous. (Note: Additional details about the company were not explicitly provided in the job description.) Role Overview: As a Data Analyst at Assent, you will play a crucial role in supporting Data Science & AI initiatives by utilizing your strong SQL, Python, and data visualization skills. Your responsibilities will involve conducting data discovery and knowledge-building exercises, maintaining a central inventory of datasets, performing SQL and Python analysis, developing insights and dashboards, providing ad-hoc support for AI/ML experiments, ensuring data quality assurance, and fostering cross-functional collaboration between business teams and the Data Science & AI group. This position offers a unique opportunity to shape the foundation of data-driven AI innovation at Assent. Key Responsibilities: - Conduct interviews with teams across the organization to understand data sources, locations, and access methods. - Build and maintain a centralized inventory of datasets with metadata, ownership details, quality checks, and access information. - Utilize SQL and Python to query, clean, and analyze datasets for EDA, model development, and feature engineering. - Develop reports and dashboards using tools like Tableau and Sigma to track data quality and AI/ML performance metrics. - Offer on-demand analyses to support AI/ML experiments, audits, and evaluations. - Monitor data accuracy, completeness, and consistency, and develop methods to reconcile disparate data points. - Act as a liaison between business teams and the Data Science & AI group to facilitate smooth data access and knowledge transfer. Qualifications: - 3+ years of professional experience as a Data Analyst, BI Analyst, or in a similar analytical role. - Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or related field. - Strong SQL expertise for querying and transforming large datasets. - Proficiency in Python (Pandas, Polars, Dask, numpy, matplotlib/seaborn, Jupyter) for analysis and visualization. - Experience with Git and version control for managing analytical code. - Demonstrated ability in data cleaning, imputation/interpolation, and transformation at scale. - Hands-on experience with exploratory data analysis and statistical techniques. - Familiarity with BI/reporting tools like Tableau, Sigma, or similar. - Strong organizational and communication skills for effective cross-functional collaboration. - Understanding of AI/ML data workflows and familiarity with data governance practices and clo