Description

You will own the analysis and documentation of data requirements for data platform projects.

Responsibilities

• Collaborate with stakeholders to gather, analyze, and document data and reporting requirements, including cataloging data fields.
• Work with data engineers and architects to define source-to-target mappings and transformation logic.
• Perform data profiling, quality analysis, and validation across multiple source systems.
• Develop and maintain the structured data dictionary, definitions, business rules, and metadata documentation.
• Analyze large datasets using SQL to identify trends, anomalies, and insights, and support production issue root cause analysis.

Required Skills

• 4+ years of experience as a Data Analyst supporting data engineering or data platform projects.
• Strong proficiency in SQL and experience with large, complex datasets.
• Hands-on experience with data profiling, data quality checks, and data validation.
• Understanding of data warehousing concepts, ETL/ELT pipelines, and dimensional modeling.
• Experience with cloud-based data platforms including Snowflake, Redshift, BigQuery, or Azure Synapse.
• Experience working closely with data engineers and technical teams.
• Bachelor's degree.
• Experience in regulated or enterprise environments.

Preferred Skills

• Experience with data transformation tools like dbt or Airflow.
• Familiarity with BI tools such as Power BI, Tableau, or Looker.

Key Skills

Education

Bachelor's degree