Snowflake Data Analyst
Adaugat: Ieri
NTT DATA Europe & Latam
Snowflake Data Analyst
Adaugat: Ieri
NTT DATA Europe & Latam
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Who We AreWe are seeking a detail-oriented Snowflake Data Analyst to support enterprise data migration and modernisation programmes. The successful candidate will have strong experience using Snowflake for data analysis and querying, with proven expertise in data reconciliation, migration validation, and data quality assurance.Working alongside Data Architects, Business Analysts, and business stakeholders, you will be responsible for validating that migrated data is complete, accurate, and aligned with business expectations. You will perform detailed source-to-target reconciliation, investigate data discrepancies, execute data quality checks, and provide assurance that migration activities meet agreed business and regulatory requirements.This role is ideal for an experienced data analyst with a background in data migration who enjoys analysing complex datasets and ensuring trusted, high-quality data.What You'll Be DoingClient delivery and stakeholder engagementData analysis, migration, and quality assuranceGovernance and best practice adoptionCross-functional collaborationKey Stakeholders: Solution Architects, Data Engineers, Developers, and AnalystsSenior client stakeholders across Data and BI functionsWhat You'll Bring AlongBSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certification(s) strongly desirableExperience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 2+ years working with SnowflakeKnowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon)Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelinesUnderstanding of data governance, security, and compliance frameworksStrong hands-on experience querying data in SnowflakeAdvanced SQL skills for analysis, reconciliation, validation, and reportingExperience performing source-to-target data reconciliationExperience with enterprise data migration and migration assuranceStrong understanding of data quality principles and validation techniquesFamiliarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop) Show more Show less
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