Data Analyst (Snowflake / SQL)

Latent Bridge; Netherlands; On-site; EUR 55,000 - 85,000; Full time

Job summary

LatentBridge is seeking a Data Analyst (Snowflake / SQL) to support data analysis, profiling, lineage validation, reporting, and regulatory data initiatives in a remote role. The ideal candidate will work with large Snowflake datasets, analyze source-to-target data flows, validate report and data lineage, identify data quality issues, and support onboarding and maintenance of regulatory reports.

The role requires strong SQL and data analysis capabilities, a solid understanding of data flows and

Qualifications

• Strong hands-on SQL skills including joins, subqueries, CTEs, and data validation queries.
• Experience with Snowflake or a comparable cloud data warehouse.
• Proven data analysis and profiling capabilities; understanding data lineage and flows.
• Experience interpreting BRDs and reporting specs into data requirements.
• Ability to document data mappings, lineage, and governance outcomes.

Responsibilities

• Analyze data across source systems and transformations using advanced SQL.
• Perform data profiling, validation, reconciliation, and exploratory analysis.
• Validate source-to-target mappings and report-to-source lineage.
• Trace data elements for impact analysis and regulatory reporting.
• Support onboarding of new regulatory reports and data requirements.
• Review data flows to identify lineage gaps and inconsistencies.
• Conduct root cause analysis for data issues and remediation.
• Develop SQL queries and analytical outputs for investigations and governance.
• Create dashboards and metrics to communicate data quality and reporting results.
• Support audit, risk, compliance, and regulatory activities with data validation.

Skills

SQL

Snowflake

Data analysis

Data profiling

Data lineage

Regulatory reporting

BRDs interpretation

Documentation

Tools

Power BI

ETL/ELT

Metadata management

Job description

At LatentBridge, we make digital transformation work—without the noise.

We help enterprises simplify the complex, using AI orchestration and intelligent automation to solve real operational challenges. Our focus is on the parts of the business that are often overlooked—compliance, audit, policy, and risk—where precision, scalability, and accountability matter most.

Our products—Epic AI and IntellixCore—are built for this depth.Epic AI delivers enterprise-grade search and knowledge assistance directly inside the tools people already use—making access to information instant and intuitive.

IntellixCore is a platform to build, deploy, and scale intelligent agents across critical workflows—seamlessly integrating with existing systems.

We work with global banks, financial institutions, and legal firms—teams navigating constant change, regulatory pressure, and operational complexity.

In 2024, we were named one of the Deloitte UK Technology Fast 50, recognised for our growth and the tangible impact we deliver.

What sets us apart is not just what we build, but how we build it—grounded in enterprise realities, delivered with clarity, and always focused on outcomes that matter.

Job Description

This is a remote position.

Data Analyst (Snowflake / SQL)

Role Overview

We are looking for a Data Analyst (Snowflake / SQL) to support data analysis, data profiling, lineage validation, reporting, and regulatory data initiatives. The role will involve working with large and complex datasets in Snowflake, analyzing source-to-target data flows, validating report and data lineage, identifying data quality issues, and supporting the onboarding and maintenance of regulatory reports.

The ideal candidate should have strong SQL and data analysis capabilities, a good understanding of data flows and lineage, and the ability to work with both business and technical stakeholders to investigate data issues and translate reporting requirements into actionable data requirements.

Key Responsibilities

• Analyze data across source systems, transformation layers, data warehouses, and reporting platforms using advanced SQL.
• Perform data profiling, validation, reconciliation, and exploratory analysis to understand data structures, relationships, completeness, and quality.
• Analyze and validate source-to-target mappings, ensuring that data is correctly mapped through different stages of the data flow.
• Validate report-to-source lineage, including the flow of data from source systems through transformations to final reports.
• Trace data elements across systems to support impact analysis, issue investigation, and regulatory reporting requirements.
• Support the onboarding of new regulatory reports by analyzing data requirements, source systems, mappings, transformations, and reporting logic.
• Review existing reports and data flows to identify lineage gaps, inconsistencies, or undocumented transformations.
• Perform data quality assessments and investigate issues related to completeness, accuracy, consistency, timeliness, and validity.
• Conduct root cause analysis for data and reporting issues and work with technology and business teams to identify appropriate remediation.
• Develop SQL queries and analytical outputs to support data investigations, reporting requirements, and governance activities.
• Create and maintain analytical metrics, operational reports, and dashboards to communicate data quality and reporting outcomes.
• Support audit, risk, compliance, and regulatory reporting activities, including data validation and evidence preparation.
• Interpret business requirements, reporting specifications, and BRDs and translate them into data and analytical requirements.
• Work closely with Data Analysts, Business Analysts, Data Engineers, Data Governance teams, Report Owners, and business stakeholders.
• Document data findings, mappings, lineage, business rules, analytical logic, and issue-resolution outcomes.
• Contribute to continuous improvement of data analysis, reporting, and data quality processes.

Required Skills & Experience

• Strong hands-on experience with SQL, including complex joins, subqueries, CTEs, aggregations, window functions, and data validation queries.
• Experience working with Snowflake or a comparable cloud data warehouse.
• Strong experience in data analysis and data profiling.
• Understanding of data lineage, data flows, source-to-target mappings, and data transformations.
• Experience investigating data quality issues and performing root cause analysis.
• Ability to analyze large datasets and identify patterns, anomalies, inconsistencies, and data gaps.
• Experience working with business and technical requirements and interpreting BRDs, reporting specifications, and data requirements.
• Good understanding of reporting and data processes within enterprise environments.
• Experience supporting regulatory reporting, risk, compliance, or audit-related data activities is preferred.
• Strong documentation and communication skills .
• Ability to collaborate effectively with technical teams, business users, data owners, and reporting stakeholders.

Preferred Skills

• Experience with Power BI or other BI/reporting tools.
• Experience working with regulatory reporting datasets and controls.
• Exposure to data governance, metadata management, or data catalog platforms.
• Experience with financial services, banking, insurance, or other highly regulated industries.
• Knowledge of ETL/ELT concepts and modern cloud data architectures.
• Familiarity with data reconciliation and control frameworks.