We are seeking a Data Analyst with strong SQL, Python, and data visualization skills to support Assent鈥檚 Data Science & AI initiatives. This role combines technical analysis with organizational knowledge-building. You will work with teams across the company to map out available data sources, understand how they are used, and consolidate this knowledge into a central inventory for the Data Science & AI team.
In addition to being the go-to expert on where and how data lives within Assent, you will provide analysis, dashboards, and insights that accelerate model development, monitoring, and evaluation. This is a unique opportunity to shape the foundation of data-driven AI innovation at Assent.
Key Requirements & Responsibilities
- Data Discovery & Knowledge Building: Interview teams across the organization to understand what data they use, where it resides, and how it is accessed.
- Data Inventory & Documentation: Build and maintain a central inventory of datasets, including metadata, ownership, quality checks, and access details.
- SQL & Python Analysis: Query, clean, and analyze datasets to support exploratory data analysis (EDA), model development, feature engineering, and validation.
- Apply data cleaning, transformation, and interpolation techniques to handle missing, inconsistent, or incomplete datasets, ensuring reliable downstream use.
- Insights & Dashboards: Develop reports and dashboards in Tableau, and Sigma to track data quality, dataset usage, and AI/ML performance metrics.
- Ad-hoc Support: Provide on-demand analyses to support AI/ML experiments, audits, and evaluations.
- Data Quality Assurance: Monitor and flag issues in data accuracy, completeness, and consistency.
- Develop methods to reconcile and connect disparate data points across systems to produce coherent, insight-ready datasets.
- Cross-Functional Collaboration: Serve as a bridge between business teams and the Data Science & AI group, ensuring smooth data access and knowledge transfer.