Senior Data Analyst (AI & Advanced Analytics)

Senior Data Analyst (AI & Advanced Analytics) Job Description

PURPOSE AND SCOPE

Plan and deliver advanced data analysis and insights that support AI/ML initiatives and data-driven decision-making.

Partner with data science engineering and business teams to prepare analyze and operationalize data for predictive modeling and AI applications.

Ensure high-quality reliable and governed data assets aligned with enterprise data architecture and analytics standards.

PRINCIPAL DUTIES AND RESPONSIBILITIES

Conducts advanced data analysis to identify trends patterns and opportunities for AI and advanced analytics use cases.

Identifies and evaluates relevant data sources including structured and unstructured data to support modeling and reporting needs.

Performs exploratory data analysis (EDA) feature analysis and data validation for AI/ML initiatives.

Develops and maintains dashboards reports and performance metrics to monitor business and model outcomes.

Partners with data scientists to support model development including dataset preparation feature engineering support and evaluation analysis.

Collaborates with data engineering teams to improve data pipelines data quality and data accessibility.

Analyzes data discrepancies resolves issues and ensures consistency across datasets.

Supports experimentation and A/B testing including design analysis and interpretation of results.

Translates analytical findings into actionable insights and recommendations for business stakeholders.

Works with data stewards to ensure alignment with data governance quality and compliance standards.

EDUCATION

Bachelors degree in Data Science Statistics Computer Science Mathematics or related field required.

Masters degree in a quantitative or analytical field preferred.

EXPERIENCE AND REQUIRED SKILLS

5 8 years related experience; or a Masters degree with 4 years experience; or equivalent directly related work experience.

Strong proficiency in SQL and at least one programming language (Python or R).

Experience working with large datasets and cloud-based data platforms (AWS Azure Databricks Snowflake).

Solid understanding of statistical analysis techniques and data modeling concepts.

Experience supporting machine learning and predictive analytics initiatives.

Proficiency with data visualization tools (Power BI Tableau or similar).

Ability to communicate complex analytical insights to business and technical stakeholders.

Familiarity with model evaluation metrics feature engineering concepts and experimentation frameworks preferred.

Exposure to Generative AI analytics (prompt performance usage tracking and evaluation) preferred.