Consultant, Data Analytics & Reporting-Food

, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.

• REPORTING & VISUALIZATION: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.

• ANALYTICS, AI / ML AND DATA SCIENCE: Application of analytics and data science-driven techniques, and hands-on delivery of AI/ML-driven analytical models and solutions

• PROCESS IMPROVEMENT: Implements found opportunities to improve data collection and reporting processes, deliver automation solutions and applies standard methodologies for data management and reporting.

• COLLABORATION: Works closely with multi-functional teams to support data needs, identifies value-creation opportunities, solves data problems and delivers solutions in partnership with business stakeholders, project working teams, digital technology and data engineering teams.

• QUALITY ASSURANCE & DATA VALIDATION: Performs moderately complex analysis in support of the completeness, consistency, accuracy, and security of data. Understands and monitors the transaction and master data lifecycle, and proactively manages data quality.

Qualifications

• Bachelor's degree in a related field (e.g. Data Science, Statistics, Computer Science, Business Analytics) or equivalent experience.

• Minimum of four years of relevant work experience.

• Confirmed skills of analyzing data content for reporting or analytics solutions.

• Proficiency in data manipulation / programming languages such as Python, SQL, VBA, and applications such as MS Excel and Power BI to analyze, model, visualize and communicate data insights.

• Strong understanding of data warehousing, data lakes, cloud data platforms (e.g. AWS, Snowflake) and related big data technologies.

• Able to automate data (transformation) workflows and build low-code applications leveraging the Power Platform (Power Automate, Power Apps, Power Query).

• Familiarity with (predictive) analytics, AI/ML and data science.

• Solid business understanding and financial acumen to draw accurate insights and use information as a strategic value-creation tool.

• Excellent communication and stakeholder management skills.

• Comfortable with agile workflow management and able to manage multiple priorities simultaneously.