A Data Analyst with experience in Complex SQL, Advanced Excel and Data bases is required. This is a hybrid role with 2 days on site in Glasgow and is INSIDE IR35 so will require working via an FCSA accredited umbrella company.


You will be responsible for ensuring data quality and governance through strategic reporting, trend analysis, automation, and process improvements. The ideal candidate will have expertise in data quality controls, dashboard development, and integration of business data platforms. The role will involve collaborating with cross-functional teams, ensuring accurate data reconciliation, and driving enhancements in data governance models.

Key Responsibilities:
1.Data Quality and Controls:
oDevelop and maintain Data Quality Management Systems (DQMS) to ensure accuracy, integrity, and reliability of data.
oImplement data quality dashboards and expand reporting capabilities as required by Enterprise Process Technology (EPT) owners.
oOversee the implementation of Data Quality Dashboards 2.0, including history reporting and daily oversight mechanisms.
oPerform daily end-to-end reconciliation and develop check-sum control processes.
2.Trend Analysis & Control:
oMonitor alert volumes using trend check controls to detect anomalies and ensure early detection of data issues.
oUse statistical analysis to spot emerging data trends and recommend adjustments to improve accuracy.
3.Automation & Data Extraction:
oLead the automation of data extraction logic to improve efficiency and reduce manual intervention in reporting.
oCollaborate with digital and technology teams to automate reconciliation processes and streamline data workflows.
4.Governance & Integration:
oSupport the development and maintenance of the Data Quality Index (DQI) Operating Model, ensuring consistency in tracking and reporting of data metrics.
oManage centralized tracking tools for DQIs and ensure integration with Business Data Platforms (BDP) to support end-to-end data management.
oPartner with Change and Transformation teams to implement new data requirements and improve overall data governance.
5.Process Improvement & Risk Management:
oApply strategic thinking and business process re-engineering (BPR) methodologies to identify data-related challenges and opportunities.
oCollaborate with cross-functional teams to implement changes and improve data processes and controls.
oEnsure data risks are mitigated by implementing robust risk management strategies and control measures.

Key Skills & Competencies:
*Risk Management and Reporting: Ability to develop and implement reporting mechanisms that mitigate risks and enhance data integrity.
*Strategic Thinking: Strong analytical skills to align data analysis with business strategies and objectives.
*Business Process Re-engineering: Experience in process improvement and re-engineering to enhance data governance.
*Change Management: Skilled in managing organizational changes, especially within data and technology environments.
*Collaboration & Communication: Excellent written and verbal communication skills to work effectively with cross-functional teams.
*Technical Skills: Proficiency in data extraction tools, dashboard development (e.g., Tableau, Power BI), and automation techniques.
Qualifications:
*Bachelor's degree in Data Science, Computer Science, Information Technology, Business Analytics, or related fields.
*Proven experience with data quality management, dashboard development, and data automation.
*Strong knowledge of data governance models and data integration techniques.
*Familiarity with risk management practices and process improvement methodologies.