Data Analytics Manager

Role Description The Data Analytics Manager is a part-time remote role responsible for leading analytical projects that support business decision-making across Nueva Wal-Mart de México, S. de R.L. de C.V. Day-to-day tasks include gathering and cleaning data from multiple sources, performing quantitative analysis, and developing dashboards and reports to track key performance indicators. The role involves translating business questions into analytical approaches, interpreting results, and presenting clear, actionable insights to stakeholders in various departments. The Data Analytics Manager will also oversee the design and maintenance of data visualization tools, support data governance practices, and collaborate with technical and non-technical colleagues to improve reporting processes. This position requires proactive communication, strong organizational skills, and the ability to manage multiple projects in a remote environment.

Qualifications

• Candidates should possess strong Analytical Skills and experience with Analytics to identify trends, diagnose issues, and support data-driven decisions.
• Candidates should possess expertise in Statistics and Data Analytics to design analyses, interpret results, and validate business hypotheses.
• Candidates should possess proficiency in Data Visualization to build clear dashboards and reports using tools such as Power BI, Tableau, or similar platforms.
• Candidates should possess solid knowledge of data tools and languages (e.g., SQL, Excel, Python or R) for data extraction, transformation, and analysis.
• Candidates should possess effective communication skills to explain complex findings to non-technical audiences and collaborate with cross-functional teams.
• Candidates should possess strong organizational and time-management abilities to handle multiple part-time projects in a remote setting.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related field is preferred.
• Experience in retail, operations, or business intelligence environments is beneficial.