An exciting opportunity for an experienced Data Analyst to make a significant impact on the organisation's data-driven decision-making processes. This role is crucial for delivering advanced analytics, reporting, and insights that support business innovation and growth. The ideal candidate will possess strong skills in data analysis, ETL processes, and business intelligence (BI) tools, coupled with a passion for creating actionable insights through storytelling with data.
Objectives of the Role:
- Develop, implement, and maintain robust analytic systems, simplifying complex problems into actionable frameworks.
- Design and document data models, source-to-target mappings, and information specifications for use across the organisation.
- Create dynamic and actionable reports using industry-leading BI tools.
- Collaborate with management and stakeholders to align analytics with business objectives and build strong working relationships.
Key Responsibilities:
- Partner with business teams to understand analytical requirements, identify critical metrics/KPIs, and deliver meaningful insights to decision-makers.
- Proactively analyse and interpret data to answer key business questions.
- Design and maintain interactive dashboards and visualisations, integrating multiple data sources.
- Define, implement, and manage ETL pipelines, ensuring scalable and efficient data acquisition and transformation processes.
- Migrate legacy reporting formats (e.g., Excel) into modern self-service BI platforms.
- Develop robust data models and scripts to streamline data evaluations and ensure scalability.
- Ensure the integrity and security of data processes, adhering to governance standards and compliance requirements.
- Work with all levels within the business to support their reporting and analytic needs.
Skills and Qualifications:
- Strong skills in translating business requirements into impactful reports and dashboards for varied stakeholders.
- 3+ years of experience as a Data Analyst or similar role, with expertise in mining, analysing, and visualising data.
- Advanced proficiency in SQL, Excel, and ETL processes.
- Hands-on experience with BI tools such as Power BI, Tableau, Birst or similar platforms.
- Familiarity with API integration and automation.
- Strong technical writing and presentation skills for documenting and communicating findings effectively.
Preferred Qualifications:
- Experience in database and data model design, as well as segmentation techniques.
- Familiarity in frameworks like Python, XML, and Javascript.
- Proficiency in statistical tools (e.g., SPSS, SAS) and techniques.
- Proven success working collaboratively in a team-oriented environment.
- Familiarity with cloud-based data ecosystems and tools such as Azure Data Factory, AWS or similar.
Apply now for an immediate interview.