Senior Data Analyst - Customer Segmentation

Role Overview: As a key member of the team, your main role will involve using data to understand customer behavior and drive business decisions. You will play a vital part in developing data-driven customer segments and insights that have a direct impact on marketing, sales, and product development. Key Responsibilities: - Perform advanced data analysis using SQL, Python, and other relevant tools. - Develop and maintain customer segmentation models to better understand customer behavior. - Present your findings and recommendations to stakeholders effectively. - Collaborate with cross-functional teams to implement insights effectively. - Identify opportunities to enhance data quality and processes for more accurate analysis. Qualification Required: - Bachelor's degree in Statistics, Mathematics, or a related field. - Minimum of 5 years of experience in data analysis. - Proficiency in SQL and Python for data analysis and manipulation. - Experience with data visualization tools such as Tableau or Power BI. - Strong communication and presentation skills to effectively convey insights to stakeholders. Company Additional Details: The company offers a competitive salary and benefits package, opportunities for professional development and growth, and a dynamic and collaborative work environment. The role also includes a hybrid work model, providing flexibility in how you work. A typical day in this role involves data exploration, model building, stakeholder communication, and problem-solving to drive data-driven decisions that impact the business positively. Role Overview: As a key member of the team, your main role will involve using data to understand customer behavior and drive business decisions. You will play a vital part in developing data-driven customer segments and insights that have a direct impact on marketing, sales, and product development. Key Responsibilities: - Perform advanced data analysis using SQL, Python, and other relevant tools. - Develop and maintain customer segmentation models to better understand customer behavior. - Present your findings and recommendations to stakeholders effectively. - Collaborate with cross-functional teams to implement insights effectively. - Identify opportunities to enhance data quality and processes for more accurate analysis. Qualification Required: - Bachelor's degree in Statistics, Mathematics, or a related field. - Minimum of 5 years of experience in data analysis. - Proficiency in SQL and Python for data analysis and manipulation. - Experience with data visualization tools such as Tableau or Power BI. - Strong communication and presentation skills to effectively convey insights to stakeholders. Company Additional Details: The company offers a competitive salary and benefits package, opportunities for professional development and growth, and a dynamic and collaborative work environment. The role also includes a hybrid work model, providing flexibility in how you work. A typical day in this role involves data exploration, model building, stakeholder communication, and problem-solving to drive data-driven decisions that impact the business positively.