Senior Data Analyst

Scalian

. Analyze data from multiple business applications and technical sources .

Posted 11/12/2026full-timeRemote • FranceSenior💰 €50,000 - €55,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in Data Analysis, focusing on root-cause analysis, data quality, and governance. Proficient in reconstructing complex data journeys and providing actionable insights to enhance business processes.

Highest-signal resume keywords

Data AnalysisRoot-Cause AnalysisSQL ProficiencyData Quality GovernanceTransport Logistics Supply Chain Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisRoot-Cause AnalysisSQL ProficiencyData QualityData GovernanceEvent LogsAudit TrailsData WarehouseData LakeEvent-Driven Architectures

Soft Skills

Problem-SolvingAnalytical ThinkingCommunication

Tools & Technologies

SnowflakeCloud Data Environments

Industry Keywords

TransportLogisticsSupply ChainMaritime

Tech Stack

Tools & technologies

CloudSnowflakeSQL

About the role

Key responsibilities & impact

Analyze data from multiple business applications and technical sources
Reconstruct the complete journey of a booking from creation to confirmation
Identify missing, non-historized, or overwritten events
Verify consistency between expected business rules and observed data behavior
Detect process workarounds and anomalies
Conduct root-cause analyses
Document observed gaps, impacts, and origins
Build a pragmatic, prioritized remediation plan
Propose short- and long-term solutions to improve traceability
Assess the feasibility of event logs, snapshots, and audit trails
Support business and technical teams in resolving complex problems
Perform ad hoc analyses of incidents or anomalies reported by users
Test and validate hypotheses using data
Produce factual, reproducible analyses to accelerate decision-making
Deliver process maps; data-source and data-quality maps; complete journey reconstructions; gap inventories; root-cause analyses; a target traceability strategy; a prioritized remediation plan; operational support analyses; executive reporting; and a roadmap

Requirements

What you’ll need

Minimum 5 years of experience in Data Analysis
Proven experience investigating complex, multi-source data
Experience working in environments where business processes are partially documented
Experience in root-cause analysis and problem-solving
Experience in the Transport, Logistics, Supply Chain, or Maritime sectors is an advantage
Excellent SQL proficiency, including complex joins, temporal analysis, and consistency checks
Experience exploring RAW tables and investigating operational data
Ability to reconstruct journeys and event sequences using identifiers, timestamps, and statuses
Good understanding of data quality, governance, historization, and data traceability
Knowledge of Snowflake is a plus
Experience with Data Warehouse and Data Lake environments is a plus
Knowledge of Event Logs and Audit Trails is a plus
Knowledge of event-driven architectures is a plus
Knowledge of snapshot and historization strategies is a plus
Experience with cloud data environments is a plus