Job Purpose and Impact

• The Professional, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing moderately complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With limited supervision, this job collaborates with cross functional teams to ensure data accuracy and integrity performing data and statistical analysis using various programming languages. This job supports the effective presentation of data findings to partners to meet business objectives.

Key Accountabilities

• DATA COLLECTION & ANALYSIS: Gathers, processes, prepares, and analyzes moderately complex datasets to extract significant insights, develop and maintain automated reporting systems to streamline data analysis.
• REPORTING & VISUALIZATION: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.
• STATISTICAL ANALYSIS: Supports statistical analysis execution to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
• PROCESS IMPROVEMENT: Implements found opportunities to improve data collection and reporting processes and applies standard methodologies for data management and reporting.
• COLLABORATION: Works closely with multi-functional teams to support data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to help ensuring data integrity and accuracy.
• DATA ANALYSIS: Conducts moderately complex data analyses to uncover trends, patterns, and actionable insights for decision making.
• QUALITY ASSURANCE & DATA VALIDATION: Performs moderately complex reports and analyses in support of the accuracy, consistency, and security of data.

Qualifications

Advanced BI Development:

• Must-have expertise in Power BI, including DAX (Data Analysis Expressions) for complex measures and calculations.
• Ability to design and implement data models, create interactive dashboards, and optimize performance for large datasets.
• Data Modeling & Architecture: Strong understanding of relational and dimensional modeling, star/snowflake schemas, and data architecture principles.
• SQL Proficiency: Advanced skills in writing complex SQL queries for data extraction, transformation, and validation.
• Application Support: Ability to support and maintain existing business applications, troubleshoot issues, and coordinate fixes with technical teams.
• Analytical & Problem-Solving: Skilled in interpreting large datasets, identifying trends, and delivering actionable insights.
• Stakeholder Management: Excellent communication skills to collaborate with traders, supply chain managers, IT teams, and leadership.