Data Analyst
Space Stem
- SQL knowledge for data querying and manipulation.
- Experience in retail, loyalty, e-commerce, or customer analytics environments.
- Familiarity with ETL processes and data pipeline concepts.
- Exposure to custom dashboard development or modern BI platforms.
- Basic understanding of JavaScript, APIs, or cloud-based analytics solutions.
- 2–5 years of experience in a Data Analyst, BI Analyst, or Reporting Analyst role.
- Advanced Microsoft Excel skills (pivot tables, complex formulas, modelling).
- Proven hands-on experience with Power BI, Power Query, DAX, and Data Modelling.
- Experience working with large, complex datasets.
- Familiarity with GA4, Google Analytics, or other digital analytics platforms.
- Strong analytical and structured problem-solving ability.
- Experience producing dashboards, KPI reports, and management-level reporting.
- Confident communicator with the ability to manage stakeholder relationships effectively.
- Experience with process automation using Power Automate or similar tools.
Required Nice to Have
- Microsoft Excel (Advanced)
- Power BI
- Power Query
- DAX
- Data Modelling
- Data Visualisation
- Reporting & Dashboard Development
- Power Automate
- GA4 / Google Analytics
- SQL
- Python
- JavaScript
- APIs/REST
- Next.js
- Cloud Analytics Platforms
Reporting & Dashboards
- Design, build, and maintain Power BI dashboards and reports tailored to business stakeholders.
- Develop and manage Excel-based reporting models and analytical tools.
- Support monthly, weekly, and ad-hoc reporting requirements across the business.
- Validate data accuracy and maintain consistency across multiple reporting sources.
- Create and optimise data models, DAX measures, and calculations within Power BI.
- Extract, transform, and cleanse data using Power Query.
- Analyse large datasets to surface trends, opportunities, and actionable insights.
- Independently investigate data discrepancies and identify root causes.
- Engage with business stakeholders to gather reporting requirements and translate them into effective dashboards.
- Automate manual reporting workflows using Power Automate and other available tools.
- Support data governance initiatives and help maintain reporting standards.
- Contribute to the development of future analytics solutions, including custom and web-based reporting platforms.