Data Analyst (LRDANW) City Of Manchester, England
| Salary: | GBP300 - GBP350 per day |
Data Analyst
Prestigious Manchester based client requires an accomplished Data Analyst to support a data improvements project.
Essential
• Experience of reverse-engineering existing data sources and developing corresponding physical and logical data models.
• Experience of assessing data quality within and across existing data sources.
• Experience of identifying where and how data management can be improved.
• Experience of collaborating with stakeholders at all levels to identify strategic goals and outcomes.
• Experience of engaging with stakeholders and facilitating stakeholder workshops as required to inform the development and review of as-is physical data models.
• Ability to communicate and build rapport with staff at all levels.
• Ability to facilitate stakeholder workshops / data modelling sessions.
• Ability to reverse-engineer existing data sources and develop corresponding physical and logical data models.
• BPSS beneficial
• Ability to assess and assure data quality.
• Ability to apply data modelling, data cleansing and data enrichment approaches.
• Ability to use a value/outcomes-based focus in their work.
• Ability to listen and paraphrase or summarise stakeholder views.
• Ability to think critically and identify assumptions and ask challenging questions with an unbiased approach.
• Ability to use and apply industry standard data modelling software appropriately.
Click Apply now, to be considered for the Data Analyst role
Prestigious Manchester based client requires an accomplished Data Analyst to support a data improvements project.
Essential
• Experience of reverse-engineering existing data sources and developing corresponding physical and logical data models.
• Experience of assessing data quality within and across existing data sources.
• Experience of identifying where and how data management can be improved.
• Experience of collaborating with stakeholders at all levels to identify strategic goals and outcomes.
• Experience of engaging with stakeholders and facilitating stakeholder workshops as required to inform the development and review of as-is physical data models.
• Ability to communicate and build rapport with staff at all levels.
• Ability to facilitate stakeholder workshops / data modelling sessions.
• Ability to reverse-engineer existing data sources and develop corresponding physical and logical data models.
• BPSS beneficial
• Ability to assess and assure data quality.
• Ability to apply data modelling, data cleansing and data enrichment approaches.
• Ability to use a value/outcomes-based focus in their work.
• Ability to listen and paraphrase or summarise stakeholder views.
• Ability to think critically and identify assumptions and ask challenging questions with an unbiased approach.
• Ability to use and apply industry standard data modelling software appropriately.
Click Apply now, to be considered for the Data Analyst role