Data Analyst: SAP HANA, Snowflake & Data Quality

Insight Global; United States; On-site; USD 70,000 - 110,000; Full time

Job summary

Insight Global is seeking a Data Analyst to support data analysis, validation, cleansing, and reporting initiatives across SAP HANA and Snowflake environments. You will use SQL to analyze, reconcile, and transform data while ensuring accuracy and consistency.

You'll work on data profiling, remediation, modeling, and visualization, partnering with stakeholders to understand data requirements and ensure quality across source and target systems.

Qualifications

• 3+ years of data analysis experience.
• Strong SAP HANA knowledge with hands-on data analysis.
• Experience with Snowflake and relational databases.
• Knowledge of data modeling, ETL/ELT, and data warehousing.
• Experience with data profiling, cleansing, validation and reconciliation.
• Experience creating data visualizations.

Responsibilities

• Analyze data using SAP HANA, Snowflake, and SQL.
• Profile, cleanse, validate and reconcile data.
• Identify data quality issues and support remediation.
• Develop and maintain data models.
• Work with relational databases and data warehouse environments.
• Support ETL/ELT processes and data movement.
• Create data visualizations to communicate findings.
• Validate data across source and target systems.
• Maintain documentation of data definitions, mappings, and findings.
• Partner with stakeholders to understand data requirements.

Skills

Data analysis

SQL

Data profiling

Data cleansing

Data validation

Data modeling

ETL/ELT concepts

Data warehousing concepts

Data visualizations

Relational databases

Tools

SAP HANA

Snowflake

Job description

Insight Global is seeking a Data Analyst to support data analysis, validation, cleansing, and reporting initiatives across SAP HANA and Snowflake environments. You will use SQL to analyze, reconcile, and transform data while ensuring accuracy and consistency.

You'll work on data profiling, remediation, modeling, and visualization, partnering with stakeholders to understand data requirements and ensure quality across source and target systems.