Business Analytics Manager

Overview

Key Responsibilities

• Lead, mentor, and develop a high-performing team of business analysts, fostering a culture of collaboration, innovation, and continuous learning.
• Set clear goals and objectives for the team, manage performance, and provide regular feedback and coaching.
• Manage the analytics project roadmap, prioritize tasks based on business impact, and ensure timely delivery of high-quality insights and reports.
• Collaborate with senior leadership and department heads (e.g., Sales, Marketing, Finance, Operations - Commercial) to understand their challenges, identify key business questions, and define analytical needs.
• Act as a strategic advisor to the business, translating complex data into clear, actionable recommendations for senior management.
• Develop and execute a comprehensive business analytics strategy that aligns with the company's overall objectives.
• Oversee the design and execution of complex analyses to uncover trends, patterns, and insights regarding customer behavior, market dynamics, operational efficiency, and financial performance.
• Develop, monitor, and maintain Key Performance Indicators (KPIs) and business dashboards to track performance against strategic goals.
• Champion advanced analytical techniques, including segmentation, forecasting, A/B testing, and predictive modeling, to answer critical business questions.
• Standardize and automate reporting processes to ensure consistency, accuracy, and efficiency.
• Create and present compelling data narratives and visualizations to communicate findings and influence decisions across all levels of the organization, including executive leadership.
• Ensure that insights are presented in a clear, concise, and visually appealing manner.
• Partner with Data Engineering and IT teams to ensure data integrity, improve data models, and enhance the data infrastructure to support analytical needs.
• Promote data literacy and best practices for data usage across the company.
• Evaluate and recommend new tools and technologies to improve the team's capabilities and efficiency.
• To Build Robust Data Infrastructure to to enable near real time reporting.
• Bachelor s degree in Business, Economics, Statistics, Computer Science, Engineering, or another quantitative field.
• 5+ years of experience in business analytics, data analysis, or related roles, with at least 2 years in a managerial position.
• Proficiency in analytics tools and platforms such as SQL, R, Python, Tableau, or Power BI.
• Strong analytical and quantitative skills with a proven track record of data-driven decision-making.
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Strong leadership and team management capabilities.
• Experience in the e-commerce or tech industry is a plus.
• Experience with a statistical programming language such as Python (Pandas, Scikit-learn) or R.
• Familiarity with cloud data platforms (e.g., AWS, Google Cloud Platform, Azure) and modern data stack tools.
• Proven track record of influencing business outcomes through data-driven insights.