Job Description
A leading organization is seeking an AI-focused Data Analyst to support forecasting, analytics, and audit-related initiatives within a growing data and artificial intelligence environment. This position combines data analysis, machine learning exposure, and AI-driven solution support, requiring strong technical skills in data querying, programming, and statistical analysis.
The ideal candidate will have experience working with AI initiatives, building data-driven solutions, and partnering with cross-functional teams to support analytics, forecasting, and governance efforts.
Responsibilities
- Analyze complex datasets to support forecasting, reporting, and business decision-making initiatives.
- Develop and optimize SQL queries for data extraction, transformation, and analysis.
- Build and maintain Python-based data processing and analytical workflows.
- Support artificial intelligence and machine learning initiatives through data preparation, validation, and analysis.
- Contribute to audit and governance activities related to AI-enabled solutions.
- Partner with business and technical teams to gather requirements and develop analytical deliverables.
- Assist with feature evaluation, documentation, and validation activities.
- Identify trends, patterns, and opportunities through statistical and data-driven analysis.
- Support the development and monitoring of AI and machine learning models and related processes.
- Document analytical methodologies, data sources, and business findings.
Required Experience and Skills
- 3 to 7 years of experience in data analytics, machine learning, artificial intelligence, or a related field.
- Strong SQL skills with experience querying and analyzing complex datasets.
- Proficiency in Python for data analysis, automation, and data processing.
- Experience supporting artificial intelligence initiatives or AI-enabled projects.
- Exposure to machine learning concepts, models, and analytical techniques.
- Knowledge of data analysis, reporting, and forecasting methodologies.
- Strong analytical, problem-solving, and communication skills.
- Ability to work with large datasets and translate findings into actionable insights.
Preferred Experience and Skills
- Background in statistics, quantitative analysis, or a related discipline.
- Experience working with agentic AI technologies and workflows.
- Experience supporting model governance, audit processes, or AI compliance initiatives.
- Familiarity with forecasting, predictive analytics, and machine learning applications.
- Ability to balance multiple priorities within a fast-paced data and analytics environment.
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