Lead Data Analyst

⁩Lead Data Analyst Job Summary We are seeking an experienced Lead Data Analyst with strong expertise in data analysis, customer database management, and team leadership. The role will focus on overseeing data extraction and development, identifying and segmenting target audiences, and improving targeting accuracy to ensure marketing campaigns and messages reach genuine, relevant, and interested customers. The ideal candidate will also be responsible for minimizing duplicate data and repetitive messaging, continuously expanding the customer database, and supporting business growth through effective data-driven sales and marketing strategies. Key Responsibilities Lead and supervise the data analytics team, assign tasks, and monitor performance to ensure business objectives are achieved. Manage, maintain, and continuously improve customer databases, ensuring data accuracy, quality, and reliability. Oversee the extraction, collection, and integration of new customer data from multiple sources using advanced tools and techniques. Continuously identify reliable new data sources to expand the customer database and reach new potential customer segments. Analyze customer data to identify and segment target audiences based on their interests, needs, behavior, and market opportunities. Develop effective targeting strategies to identify genuine, qualified, and high-potential customers, ensuring marketing campaigns and messages reach the most relevant and interested audiences. Validate customer contact information and improve data quality to increase message deliverability and reach. Implement data cleaning and deduplication processes to minimize duplicate records, repetitive marketing messages, and ineffective targeting. Develop and manage effective lead distribution processes for sales teams based on clear criteria to maximize data utilization and efficiency. Monitor lead quality and targeting accuracy, and analyze message delivery, engagement, response, and lead conversion rates. Evaluate marketing campaign performance and provide data-driven recommendations to improve targeting efficiency and customer engagement. Develop analytical reports, interactive dashboards, and key performance indicators (KPIs) to support business decisions and measure data management effectiveness. Collaborate closely with sales and marketing teams to enhance customer targeting strategies, improve lead quality, and increase conversion rates. Ensure compliance with applicable data protection regulations and customer privacy policies when collecting, managing, and using customer data. Qualifications & Requirements Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Minimum of 4–5 years of experience in data analysis and database management, including team leadership or supervisory experience. Advanced proficiency in SQL, Python, Microsoft Excel, and Power BI. Hands-on experience in Data Extraction, Web Scraping, Data Processing, and Data Cleaning. Strong experience in Database Management, Data Deduplication, and Data Quality Assurance. Experience in Customer Segmentation, Lead Qualification, and Customer Behavior Analysis. Strong understanding of customer targeting strategies, message deliverability optimization, and marketing campaign engagement. Experience with Customer Relationship Management (CRM) systems and Lead Management processes. Ability to analyze marketing campaign performance and measure response and conversion rates. Experience in developing analytical reports, interactive dashboards, and tracking key performance indicators. Strong leadership, analytical, and problem-solving skills, with the ability to manage and develop team performance. Ability to translate complex data into actionable insights and recommendations that support business decisions and drive sales and marketing performance. Show more Show less

Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Minimum of 4–5 years of experience in data analysis and database management, including team leadership or supervisory experience. Advanced proficiency in SQL, Python, Microsoft Excel, and Power BI. Hands-on experience in Data Extraction, Web Scraping, Data Processing, and Data Cleaning. Strong experience in Database Management, Data Deduplication, and Data Quality Assurance. Experience in Customer Segmentation, Lead Qualification, and Customer Behavior Analysis. Strong understanding of customer targeting strategies, message deliverability optimization, and marketing campaign engagement. Experience with Customer Relationship Management (CRM) systems and Lead Management processes. Ability to analyze marketing campaign performance and measure response and conversion rates. Experience in developing analytical reports, interactive dashboards, and tracking key performance indicators. Strong leadership, analytical, and problem-solving skills, with the ability to manage and develop team performance. Ability to translate complex data into actionable insights and recommendations that support business decisions and drive sales and marketing performance.

Lead and supervise the data analytics team, assign tasks, and monitor performance to ensure business objectives are achieved. Manage, maintain, and continuously improve customer databases, ensuring data accuracy, quality, and reliability. Oversee the extraction, collection, and integration of new customer data from multiple sources using advanced tools and techniques. Continuously identify reliable new data sources to expand the customer database and reach new potential customer segments. Analyze customer data to identify and segment target audiences based on their interests, needs, behavior, and market opportunities. Develop effective targeting strategies to identify genuine, qualified, and high-potential customers, ensuring marketing campaigns and messages reach the most relevant and interested audiences. Validate customer contact information and improve data quality to increase message deliverability and reach. Implement data cleaning and deduplication processes to minimize duplicate records, repetitive marketing messages, and ineffective targeting. Develop and manage effective lead distribution processes for sales teams based on clear criteria to maximize data utilization and efficiency. Monitor lead quality and targeting accuracy, and analyze message delivery, engagement, response, and lead conversion rates. Evaluate marketing campaign performance and provide data-driven recommendations to improve targeting efficiency and customer engagement. Develop analytical reports, interactive dashboards, and key performance indicators (KPIs) to support business decisions and measure data management effectiveness. Collaborate closely with sales and marketing teams to enhance customer targeting strategies, improve lead quality, and increase conversion rates. Ensure compliance with applicable data protection regulations and customer privacy policies when collecting, managing, and using customer data.