Data Analytics

As an Analytics Professional at Tredence, you will be part of a global analytics services and solutions company with expertise in Advanced analytics, Data Management, Data Visualization, Big Data, and Machine Learning. Your role will involve partnering with various stakeholders including product, marketing, digital, e-commerce, and customer teams to understand business objectives and translate them into analytical requirements at Fortune 100 Retailers. Key Responsibilities: - Partner with cross-functional stakeholders to translate business objectives into analytical requirements - Gather requirements and understand underlying business problems, serving as the bridge between business needs and analytical solutions - Collaborate with leadership and SMEs to create innovative solutions for business challenges using retail data and analytics - Utilize customer, product, orders, digital clickstream, merchandising, and marketing data to provide effective solutions - Apply advanced analytics and machine learning techniques such as segmentation, AB testing, recommendation engines, and propensity models to drive growth throughout the customer lifecycle Qualifications Required: - Minimum 5+ years of experience in analytics across retail, e-commerce, customer/marketing, product, or digital analytics - Strong expertise in measuring campaign effectiveness, driving test-and-learn programs, and executing A/B testing - Advanced proficiency in SQL and Tableau for data extraction, analysis, and visualization - Proven problem-solving and organizational skills to manage complex projects end-to-end - Excellent communication skills to translate technical insights into clear narratives for stakeholders At Tredence, you will have the opportunity to work with a global team and leverage your skills in analytics to drive impactful solutions for Fortune 100 Retailers.,