Analytics Manager - R/SQL/Python

Our client is looking for an experienced Analytics Manager to drive their business analytics initiatives. The ideal candidate will have a robust analytical mindset and the capability to transform data into actionable insights that inform strategic business decisions. This position involves leading a team of analysts, collaborating across departments, and utilizing data to enhance customer experiences, streamline operations, and improve overall business performance. Key Responsibilities : Analytics Strategy Development : Design and execute the analytics strategy to align with organizational goals. Team Development : Guide and mentor a team of data analysts, promoting a culture of ongoing learning and improvement. Data Collection & Reporting : Manage the gathering, analysis, and reporting of critical metrics related to sales, customer behavior, marketing effectiveness, and operational performance. Insights Creation : Extract actionable insights from data to refine strategies for customer acquisition, engagement, and retention. Cross-Department Collaboration : Collaborate with product, marketing, and operations teams to foster data-driven decision-making and strategy formulation. Predictive Analytics : Build predictive models to forecast sales trends, customer lifetime value (CLV), and marketing return on investment (ROI). Data Visualization : Develop and maintain dashboards and visualizations using tools like Tableau, Power BI, or Google Data Studio to provide stakeholders with real-time insights. Customer Journey Analysis : Evaluate customer behaviors, journeys, segmentation, and churn to improve user experience and enhance loyalty. Stakeholder Communication : Present insights and findings to senior management and stakeholders in a clear and impactful manner. Qualifications : - Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field; a master's degree is a plus. - Minimum of 6 years of experience in data analytics, including at least 2 years in a leadership role. - Expertise in SQL, Python, R, and data visualization tools such as Tableau and Power BI. - Strong experience in segmentation and predictive modeling. - Excellent problem-solving skills with a strategic, data-driven approach. - Strong communication abilities to convey complex data insights effectively. - Proven ability to handle multiple projects and meet tight deadlines in a fast-paced environment. Preferred Skills : - Knowledge of machine learning algorithms and data engineering principles. - Familiarity with e-commerce KPIs, digital marketing metrics, and customer behavior analysis." (ref:hirist.tech)

Location: in, IN

Posted Date: 11/28/2024