Data Analyst; Snowflake​/SQL

At Latent Bridge, 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 Intellix Core—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.

Intellix Core 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.

This is a remote position.

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.

• 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,…