High Profile is partnering with our client to identify an experienced, strategic Retail & Insights Senior Analyst to lead advanced analytics and translate complex data into actionable insights. This role will partner across teams to support business growth, operational efficiency, and data-driven decision-making while mentoring junior analysts.
Key Responsibilities
- Lead cross-functional analytics initiatives and serve as a trusted strategic advisor to business stakeholders.
- Translate complex and ambiguous business questions into structured analytical approaches.
- Develop advanced SQL queries, statistical analyses, and data models.
- Identify trends, risks, opportunities, and inefficiencies across business functions.
- Design analytical frameworks, tools, and solutions to support strategic decision-making.
- Lead process improvements, reporting automation, and data-driven initiatives.
- Translate complex findings into clear recommendations and presentations for senior leaders and executives.
- Maintain strong knowledge of the organization s data ecosystem and connect insights across business areas.
- Mentor junior analysts and promote strong analytical, technical, and communication practices.
- Measure and communicate the business impact of analytics-driven improvements.
Qualifications
- Bachelor s degree in Data Analytics, Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
- 4+ years of SQL experience working with large-scale data repositories.
- 4+ years of experience with BI tools such as Tableau, Qlik, Power BI, Sigma, or similar platforms.
- 4+ years of experience translating data into actionable business recommendations.
- Advanced Python experience is a strong plus, but not required.
- Advanced SQL, data modeling, statistical analysis, and critical-thinking skills.
- Strong business acumen and ability to work across multiple functional areas.
- Excellent communication and data visualization skills.
- Proven ability to influence cross-functional stakeholders through data and insights.
- Strong leadership mindset with experience mentoring or guiding others.
- Highly curious, proactive, self-directed, and committed to accuracy and continuous improvement.