Data Analyst

Job Title: Data Analyst

Role Summary

The Data Analyst plays a critical role in safeguarding the accuracy, integrity, and reliability of large and complex datasets. This role focuses on developing scalable data-quality capabilities and automated validation frameworks and intelligent anomaly detection - without requiring domain knowledge of the underlying business data.

You will collaborate closely with data engineering, product, and reporting teams, ensuring that data feeding our operational, analytical, and AI-driven systems is trustworthy, consistent, and ready for decision-making. The ideal candidate combines technical depth with strong analytical intuition and thrives in data-intensive, fast-moving environments.

Key Responsibilities

Data Quality & Validation

• Perform in depth validation of structured and unstructured datasets to ensure completeness, consistency, accuracy and lineage integrity.
• Apply statistical techniques, pattern recognition methods, and anomaly detection algorithms to identify irregularities without requiring domain-expertise.
• Design and implement automated data-validation checks, including schema validation, threshold monitoring, drift and distribution detection, and rules-based and machine learning based assessments.

Tooling & Automation

• Develop scripts, tools, and data pipelines to automate data-quality assessments.
• Build reusable frameworks to detect data inconsistencies across multiple sources and formats.
• Integrate validation tools into existing data infrastructure (e.g., ETL/ELT pipelines, data warehouses, APIs and event driven architectures).

Required Skills & Qualifications

Technical Skills

• Strong proficiency in SQL (data extraction, cleaning, and validation).
• Experience with Python or R for data processing, automation, and tool development.
• Familiarity with data-quality frameworks, anomaly detection techniques, and statistical validation.
• Experience working with large datasets and modern data-platform technologies.
• Knowledge of data-integration patterns (ETL/ELT) and monitoring tools.
• Familiar with GenAI concepts and prompt engineering and LLM assisted automation
• Experienced in building agents with MS Copilot studio or comparable technology

Analytical Skills

• Excellent problem-solving skills - especially in contexts where domain knowledge is limited.
• Ability to identify trends, irregularities, and outliers using structured and unstructured methods.
• Strong logical reasoning, abstraction and hypothesis driven thinking
• Demonstrate pattern-recognition abilities, translating data signals into actionable insights.

Preferred Qualifications

• Experience with data-quality monitoring tools (i.e. SODA).
• Familiar with data engineering concepts