Business Intelligence Analyst
55 seconds ago
Job Summary:
The Business Intelligence Analyst is responsible for analyzing complex datasets, developing AI-driven insights, and supporting the design and implementation of machine learning models that enhance business decision-making. This role bridges data science and technical implementation, ideal for someone who enjoys turning data into meaningful, actionable intelligence.
Duties and Responsibilities:
- Analyze large datasets to identify trends, patterns, and opportunities for AI-driven optimization.
- Develop, test, and validate machine learning models in collaboration with business intelligence analysts
- Evaluate AI systems and algorithms, providing recommendations for improvements in accuracy, performance, and usability.
- Translate technical findings into clear insights for business stakeholders, including reports, dashboards, and presentations.
- Support AI project lifecycles, including data collection, preprocessing, feature engineering, and model monitoring.
- Research emerging AI technologies and assess their potential impact on business processes and products.
- Ensure ethical, secure, and compliant use of AI, following internal policies and relevant regulations.
- Collaborate cross-functionally with product, engineering, operations, and leadership teams to identify new opportunities for AI adoption.
Qualifications:
- A bachelor's degree in a quantitative field or the portfolio to prove you can do the work.
- Experience with cloud platforms (Azure or AWS).
- Knowledge of natural language processing (NLP), computer vision, or generative AI techniques.
- Background in statistical modeling or predictive analytics.
- 2+ years of experience working with data analytics, machine learning, or AI technologies (or relevant academic/portfolio work).
- Familiarity with machine learning frameworks
- Ability to interpret and communicate complex technical concepts to non-technical audiences.
- Experience with Microsoft Fabric
Preferred Qualifications:
Key Competencies:
- Analytical and critical thinking
- Strong problem-solving abilities
- Curiosity and continuous learning mindset
- Attention to detail and data accuracy
- Collaboration and communication skills
- Ability to work on multiple projects and meet deadlines
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