Data Analyst

About the role

We are looking for a Data Analyst to support project teams with data analysis, reconciliation, profiling and migration across complex data environments. The role works closely with Data Architects, DBAs and source‑system SMEs to deliver reproducible analyses and actionable insights that drive informed decision‑making.

Key responsibilities

• Perform detailed data analysis to support project teams and enterprise initiatives.
• Produce reproducible analyses, reconciliation findings and profiled data sets for stakeholders.
• Collaborate with DBAs and source‑system SMEs to understand data structures, schemas and business context.
• Assess source data sets, identifying entities, distributions, populated fields, gaps and anomalies.
• Execute reconciliation across multiple systems and report findings that support project decisions.
• Evaluate data quality dimensions such as completeness, accuracy, consistency, timeliness and conformity.
• Design and run investigative analyses to uncover issues and provide actionable recommendations.
• Document analyses and create outputs that can be rerun and validated.

Required profile

• Experience using query languages to analyse and interrogate data.
• Background working in scripting or analysis environments for complex data investigations.
• Ability to work with various data access methods including databases, APIs and reporting extracts.
• Proven experience collaborating with DBAs and source‑system SMEs.
• Strong understanding of source‑system data structures, volumes and anomalies.
• Demonstrated experience in data reconciliation, profiling and quality assessment.
• Excellent analytical, problem‑solving and communication skills.

Required skills

• SQL (query languages)
• Scripting/analysis environments (e.g., Python, Bash)
• APIs for data access
• Data profiling and quality assessment tools