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.
Key Responsibilities
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* 90% of reporting sourced from curated datasets; issues resolved at source.
Key Traits
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.
Skills & Experience
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).
Interested? Please Click Apply Now! Data Analyst