Data Analyst

We are looking for a Data Analyst to improve data quality, governance, and availability across the business. You will help create "gold" datasets, establish lightweight governance, and automate quality checks to support accurate, trusted reporting., + Inventory and profile existing data sources (apps, databases, files, SaaS).

• Design and implement data cleansing and standardisation pipelines.
• Maintain data dictionaries, lineage diagrams, and semantic layers.
• Establish pragmatic governance: data ownership, KPIs, thresholds, and access controls.
• Implement automated data quality checks, dashboards, and root-cause remediation.
• Ensure trust, consistency, and timeliness of critical business datasets.

Success Measures

• Governance charter agreed with stakeholders and data owners appointed.
• Cleansing pipelines operational with automated checks for key datasets.
• "Gold" datasets live for priority business use cases.
• Data quality metrics: 98% validity, 99% referential integrity, duplicates <0.5%.
• 90% of reporting sourced from curated datasets; issues resolved at source.

• Quality-focused and data-driven; fixes at the source.
• Pragmatic, enforceable governance mindset.
• Analytical with strong problem-solving skills.
• Clear communicator bridging business and technical teams.
• Ownership-driven and system-aware., + 2+ years in data analysis/engineering, hands-on profiling, cleansing, and modelling.
• Experience building repeatable data pipelines in cloud/data warehouse platforms (e.g., Azure/Synapse/Fabric, Snowflake, BigQuery, Redshift).
• Proficient with data prep and QA automation; strong understanding of master/reference data practices.
• Knowledge of access controls, PII handling, retention, and audit requirements. Preferred: Governance framework experience, streaming ingestion/schema evolution, ML-assisted entity resolution, retail/wholesale domain knowledge, familiarity with BI tools (Power BI, Looker, Tableau).