What you will do on your journey with WebBeds.
As a Data Analyst, you will transform complex data into actionable insights that support informed business decisions and continuous improvement across the organisation. You will conduct full-lifecycle analysis, develop reporting solutions, monitor performance, and identify opportunities to optimise processes and outcomes.
This role requires an analytical and detail-oriented professional with strong data modelling, reporting, and problem-solving skills. You will collaborate with stakeholders across the business to deliver accurate insights that improve efficiency, strengthen decision-making, and create measurable impact.
In this role you will:
Key responsibilities
- Data analysis: Interpret complex datasets, apply statistical techniques, and deliver accurate ongoing analysis and reporting.
- Reporting and insights: Develop and maintain dashboards, reports, and performance metrics that support business decision-making.
- Data management: Build and enhance databases, data collection systems, and analytical processes that improve efficiency and quality.
- Data acquisition: Gather and maintain data from primary and secondary sources while ensuring integrity and reliability.
- Trend identification: Identify, analyse, and interpret patterns, trends, and opportunities within complex datasets.
- Data quality: Validate, review, and cleanse data to resolve inconsistencies and improve accuracy.
- Stakeholder collaboration: Partner with business stakeholders to understand requirements and translate them into actionable analytical solutions.
- Process improvement: Identify and implement opportunities to improve reporting, analytics, and operational processes.
The skills we would love to see in your suitcase!
- 3+ years of experience as a Data Analyst, Business Data Analyst, or in a similar analytical role, or a relevant graduate degree with a strong interest in data analytics.
- Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field.
- Experience in using Artificial Intelligence to aid in data analysis.
- Strong knowledge of data models, database design, data mining, segmentation techniques, and SQL.
- Experience with reporting tools, databases, and business intelligence platforms such as Power BI, Tableau, Business Objects, or similar solutions.
- Experience using statistical analysis tools such as Excel, SPSS, SAS, or equivalent platforms.
- Strong analytical, problem-solving, communication, and organisational skills with excellent attention to detail.
- Ability to collect, interpret, and present data findings clearly to a variety of stakeholders.
- Fluent English communication skills, both written and spoken.
- Knowledge of Kibana, Grafana, ETL frameworks, XML, JavaScript, or additional programming languages would be advantageous.