Data Analytics Specialist

Overview

We are looking for a skilled Data Analytics Specialist to connect business requirements with effective data-driven solutions. This client-facing position requires collaborating with business leaders, data architects, and scientists to comprehend challenges and transform them into actionable insights that support decision-making.

Key Responsibilities

• Engage with stakeholders to gather, analyze, and document business needs.
• Convert business challenges into technical specifications and analytic use cases.
• Identify opportunities to leverage data for improving business processes.
• Lead workshops and discussions to fully understand business problems.
• Map business problems to suitable systems, data models, and analytical tools.
• Design strategies for data collection, integration, and transformation in cooperation with architects.
• Support end-to-end delivery of analytics projects from design to implementation.
• Conduct exploratory analysis, data profiling, and quality assessments.
• Develop advanced SQL queries for data extraction and transformation.
• Create insightful dashboards and reports with Power BI to highlight trends and opportunities.
• Analyze retail business performance across operations including sales, pricing, and marketing.
• Work closely with cross-functional teams including architects, data scientists, and business users.
• Present analytical findings in a clear, business-oriented manner to technical and non-technical audiences.
• Prepare detailed documentation including business requirements, functional specs, and solution descriptions.
• Develop executive presentations to communicate insights and recommendations.

Required Qualifications and Experience

• Strong proficiency in SQL: complex joins, aggregations, views, window functions, and query optimization.
• Experience utilizing Python for data manipulation and analysis.
• Advanced skills with Power BI and Microsoft Excel for data visualization and analysis.
• Solid knowledge of data analysis methodologies including basic statistics and exploratory data analysis.
• Thorough understanding of retail business processes: pricing, merchandising, sales and returns, customer behavior, loyalty programs, marketing analytics, and supply chain management.
• Proven ability to translate business requirements into analytic solutions effectively.
• Exceptional communication skills for stakeholder engagement and presentation of insights.
• Demonstrated ability to work collaboratively with diverse teams including data engineers, project managers, and business users.