Job Title: Retail Data Analyst – Expert Level
Job Type: Full-Time
The Expert Retail Data Analyst is a high-impact role responsible for driving data-driven decision-making at an enterprise level. This position leads advanced analytical initiatives, predictive modeling, and AI-driven insights to optimize retail performance, customer engagement, and profitability. The ideal candidate has deep expertise in data science, machine learning, and strategic analytics, with a strong ability to influence executive leadership and transform raw data into actionable strategies that drive business growth.
Develop and lead cutting-edge data analytics strategies that enhance retail operations, sales forecasting, and customer insights.
Design and implement AI-driven predictive models for demand forecasting, pricing strategies, and inventory management.
Identify new data sources and leverage big data technologies to optimize business intelligence processes.
Establish best practices for data governance, ensuring accuracy, security, and compliance with industry standards.
Lead in-depth data analysis across sales trends, customer behaviors, market dynamics, and competitive positioning.
Utilize machine learning algorithms to improve product recommendations, fraud detection, and marketing optimization.
Design data-driven frameworks to enhance personalization, customer retention, and lifecycle value strategies.
Present strategic insights and business recommendations to C-level executives and key stakeholders.
Drive the implementation of AI, automation, and advanced analytics tools across retail data systems.
Oversee cloud-based data solutions using AWS, Google Cloud, or Azure to optimize data processing efficiency.
Lead cross-functional teams in integrating business intelligence platforms with real-time data visualization tools like Tableau, Power BI, and Looker.
Stay ahead of emerging data science trends, implementing innovations that keep the company at the forefront of retail analytics.
Act as a key advisor to executive leadership, translating complex data insights into business strategies.
Collaborate with marketing, finance, and supply chain teams to align data strategies with corporate goals.
Mentor and train mid-level and senior analysts, fostering a data-centric culture within the organization.
Lead large-scale analytics projects that drive automation, cost reduction, and business efficiency.
Master’s or Ph.D. in Data Science, Business Analytics, Statistics, Computer Science, or a related field.
10+ years of experience in retail data analytics, business intelligence, or data science, with at least 5 years in a leadership role.
Expertise in SQL, Python, R, and machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorch.
Extensive experience with cloud data platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop).
Proven ability to develop and deploy AI-driven predictive models in a retail environment.
Strong leadership, strategic thinking, and executive communication skills.
Experience working with global retail operations and multi-market analytics is a plus.