Data analyst RCCG
Birmingham, West Midlands
2023.06 - Current
Leveraged Python programming skills to automate routine tasks, boosted productivity levels significantly.
Developed predictive models to forecast future business trends accurately.
Performed statistical analysis on diverse datasets for gaining market knowledge.
Streamlined data processing with automation techniques.
Utilised SQL to extract relevant information for reporting purposes.
Conducted detailed competitor analysis, provided actionable insights to stakeholders.
Executed regular maintenance on databases, enhanced overall system performance.
Mitigated risks by identifying and resolving data discrepancies rapidly.
Presented analytic findings in a clear manner during team meetings, fostered informed decision making within the organisation.
Collaborated cross-functionally to meet project deadlines, delivered consistent results.
Created interactive dashboards using Power BI for easy data interpretation and presentation.
Identified trends in data to help inform decision-making processes.
Optimised data systems efficiency through regular system audits and updates.
Improved data quality by implementing structured validation checks.
Translated complex findings into understandable documents, increased company-wide understanding of critical metrics.
Generated comprehensive reports using Tableau to visualise complex concepts easily.
Advised on data collection and statistical methods to verify reliability of findings.
Entered information into data storage and data retrieval systems for processing.
Fostered integrated and open collaborations to co-create shared value research and innovations.
Read and summarised new and complex mathematical information to inform decision-making.
Analysed management issues to assess productivity and suggest math-based solutions.
Researched emerging industry concepts and integrated new knowledge into industry discourse.
Supervised mathematical, actuarial and statistical clerks.
Used statistics, probability and risk theory to assess potential financial impacts.
Planned and organising surveys and other statistical collections for data analysis.
Designed questionnaires to support logical data acquisition and analysis.
Collected and analysed complex datasets for business strategy enhancement.
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