Business Intelligence Analyst
1. ABOUT US
Supersports is a leading multi-brand sports retailer offering a wide range of sports footwear, apparel, and accessories. We operate across brand.com and major marketplace platforms, delivering competitive campaigns and a seamless online shopping experience nationwide.
2. ROLE OVERVIEW
Support e-commerce decision-making through accurate data, insightful analysis, effective reporting and dashboard solutions across Brand.com, App, Marketplace, Marketing, Sales and Operations. The role is expected not only to maintain reports and dashboards, but also to proactively identify trends, issues and opportunities and translate data into actionable business recommendations.
3. KEY RESPONSIBILITIES
· Develop, maintain and improve Power BI dashboards, reports and data sources to support business and management reporting.
· Prepare and manage regular e-commerce performance reports covering Brand.com, App, Marketplace, Marketing and Operations.
· Analyze sales, product, customer, campaign and marketplace performance to identify trends, issues and opportunities.
· Conduct ad-hoc analysis and provide data-driven insights and recommendations to support business decisions.
· Monitor and maintain data accuracy and quality across key systems and reporting sources.
· Perform data reconciliation and validation for sales, stock, orders, cancellations and other key business data.
· Investigate data discrepancies and reporting issues, coordinating with relevant teams to identify and resolve root causes.
· Maintain and update master data and reporting datasets to ensure accurate and consistent analysis.
· Support marketing and commercial teams with campaign, performance marketing, marketplace and other business reporting requirements.
· Identify opportunities to improve reporting processes, automate recurring tasks and enhance data visibility for stakeholders.
4. KEY REQUIREMENTS
· Bachelor’s degree in Business Analytics, Data Analytics, Statistics, Computer Science, Business, Economics or a related field.
· 1–2 years of experience in Business Intelligence, Data Analytics, Commercial Analytics, E-commerce Analytics or a related role.
· Experience working with large datasets and multiple data sources.
· Experience with data validation, reconciliation and maintaining data accuracy.
· Experience in e-commerce, retail, marketplace or digital marketing is an advantage.
· Strong understanding of business and commercial context.
· Good communication and ability to work effectively across teams.
· Good communication in english.
5. SKILLS
· Strong analytical and problem-solving skills
· Strong SQL skills with experience querying and analyzing large datasets
· Proficiency in Python and Google Colab for data analysis and automation
· Good understanding of Google BigQuery (GBQ) and data structures
· Proficiency in Power BI and dashboard development
· Strong attention to data accuracy and detail
· Ability to translate data into actionable business insights
· Good communication and stakeholder management skills