Overview
At Boxer, we’re continually looking to connect with talented analytical professionals who are passionate about using data to drive business decisions. Whether your experience lies in Rewards & HR Analytics or in the Commercial/Business Analytics space, we’d like to hear from you.
Responsibilities
- Collect, clean, and analyze large datasets from multiple sources including HR, rewards, commercial, and supply chain data.
- Develop, maintain, and enhance dashboards and reports using Excel, Power BI, or similar tools for effective data visualization.
- Translate complex data into clear, actionable insights to support business planning, budgeting, forecasting, and decision-making.
- Collaborate with cross-functional teams such as marketing, merchandising, supply chain, and HR to interpret data and provide insights.
- Conduct market, competitor, and trend analysis to identify growth opportunities and inform strategy.
- Perform root cause analysis on data anomalies or performance issues and recommend solutions.
- Design and implement A/B tests or modeling to evaluate business initiatives and forecast trends.
- Present findings and recommendations clearly to non-technical stakeholders and senior management.
- Ensure data accuracy, consistency, and integrity through validation and monitoring processes.
- Support integration of new data sources and analytical tools, and keep up with industry trends and best practices.
- Mentor and support junior analysts when required.
Minimum Requirements
- A relevant bachelor’s degree in Statistics, Analytics, Economics, Business Intelligence, IT, or related fields.
- 3 to 5 years of professional experience in data analytics, which may include HR/Rewards data, commercial/retail analytics, or supply chain data.
- Advanced proficiency in Excel (including complex formulas, pivot tables, and macros/VBA).
- Experience with data visualization tools such as Power BI or similar platforms for dashboard and report development.
- Strong analytical and statistical skills, with the ability to interpret complex data and translate it into actionable business insights.
- Effective communication skills to present data findings clearly to non-technical stakeholders.
- A proactive approach to problem-solving, attention to detail, and ability to work under pressure.
- Additional desirable qualifications or certifications in business analysis or data analytics may be advantageous but not always essential.