Data Analyst

Key responsibilities

• Data Analysis & Insight Generation
• Execute end-to-end analysis: Perform data analysis for special projects and routine activities, moving from raw data to actionable insights that directly influence management decisions.
• Predictive Modeling: Contribute to machine learning modeling (supervised and unsupervised) and develop advanced prototypes to solve complex enterprise problems.
• Statistical Application: Apply advanced mathematical and statistical skills to analyze operational performance and identify trends or anomalies.
• Reporting & Visualization
• Build Dashboards: Develop and maintain interactive dashboards using curated data in the big data lake warehouse solution to monitor key performance indicators (KPIs).
• Automation: Streamline and automate data gathering and reporting methodologies to replace manual processes and increase efficiency.
• Executive Presentation: Present your findings and analysis results clearly to the leadership team, explaining the "why" behind the data.
• System & Strategic Support
• Query Operations: Directly query data warehouses using SQL-like languages to extract the necessary information for projects.
• Supply Chain Transformation: Support the broader strategy of digital transformation within the supply chain by working with global planning and sales

Preferred Skills

• Experience with software development (R, Python, Java), data wrangling/munging (SQL), data analytics workflows (Jupyter Notebook), machine learning, and data visualization (Tableau etc).
• Coursework in machine learning (supervised and unsupervised), mathematics, statistics, computer applications, software engineering, and networking.
• Ability to query data sources directly using SQL-like query languages from data warehouse.
• Ability to develop dashboards using curated data
• Understand Business vision and ability to support strategy and business teams.
• Passion for developing efficient, testable and scalable analytics algorithms.
• Familiar with big data analytics tools and distributed systems a plus
• Ability to contribute to machine learning modeling and design and develop advanced prototypes. Excellent analytical, problem solving and organizational skills.
• Ability to work in a team environment and a professional environment.
• Knowledge of cloud technologies a plus. (Databricks, Snowflake)
• Experience in developing data science/AI models a plus
• Domain knowledge in Supply Chain, Finance and Sales a plus.

Opportunity

• Work with a set of highly motivated individuals driving business decision making • with the use of the right cutting edge technology
• Present to higher management with a focus on data analysis and insights

Performance Objectives

• Utilize data analysis and statistical skills on various supply chain projects and activities.
• Work with Global teams to understand the problem and partner on providing solutions.
• Perform data analysis activities for special projects
• Analyze data and provide actionable insights that drive decisions
• Automate and streamline data gathering and reporting methodologies
• Present results to the leadership team to explain your analysis findings

Please submit your application in English.