Data Analyst (Must have Snowflake)

Job Description
We are seeking a highly capable Data Analyst to support strategic initiatives with a strong focus on data mapping, data quality rules, and business-driven analysis. This role is responsible for helping ensure data integrity, supporting governance standards, and translating business needs into well-structured analytical solutions. The ideal candidate combines strong technical skills with effective stakeholder communication and the ability to frame business problems clearly within a fast-paced, collaborative environment.
Responsibilities
Develop, maintain, and validate data mapping documentation to support business and technical requirements.
Define, implement, and monitor data quality rules to improve data accuracy, consistency, and reliability.
Support strategic initiatives by analyzing data, identifying issues, and recommending practical solutions.
Partner with business and technical stakeholders to gather requirements, clarify objectives, and align data efforts with organizational priorities.
Perform complex data analysis using SQL and Snowflake to support reporting, operational needs, and decision-making.
Contribute to system configuration activities related to data setup, validation, and process support.
Apply data governance principles to ensure proper data usage, control, and quality standards.
Develop insights and reporting outputs using business intelligence tools.
Assist in framing business problems and translating them into analytical approaches and measurable outcomes.
Support exploratory analysis using modern analytical techniques, including basic AI-assisted analysis where appropriate.
Required Skills
Experience in data analysis with a strong focus on data mapping and data quality management.
System configuration experience in support of business or data processes.
Strong SQL skills with the ability to analyze, validate, and troubleshoot data effectively.
Hands-on experience working with Snowflake.
Solid understanding of data governance and data quality concepts.
Experience using BI tools to develop reporting, dashboards, or analytical outputs.
Strong stakeholder communication skills with the ability to work across business and technical teams.
Ability to frame business problems clearly and translate them into analytical requirements.
Awareness of AI-assisted analysis concepts and a foundational understanding of machine learning applications in analytics.
Strong analytical thinking, attention to detail, and problem-solving capability.
Preferred Qualifications
Knowledge of the index data domain.
Experience with Python or R for data analysis and automation.
Experience working in cross-functional environments supporting data governance and reporting objectives.

Work arrangement
Hybrid