Data Engineer

Responsibilities:

• Develop and implement data strategies aligned with the Retail/FMCG/Manufacturing/Energy and Distribution/Publishing organization's business objectives.
• Collaborate with stakeholders (including marketing, supply chain, sales, finance, production, and ecommerce) to identify data needs and prioritize initiatives that drive business value.
• Lead efforts to integrate data from multiple sources and systems to provide a comprehensive view of Retail/FMCG/Manufacturing/Energy and Distribution/Publishing operations.
• Implement data automation solutions to streamline processes and improve efficiency in data management and reporting.
• Lead the data ingestion, analysis, and interpretation of Retail/FMCG/Manufacturing/Energy and Distribution/Publishing data to identify opportunities for improvement, optimize processes, and enhance our overall business performance.
• Provide insights and recommendations based on data analysis to support Retail/FMCG/Manufacturing/Energy and Distribution/ Publishing strategy and decision-making processes.
• Ensure compliance with data privacy regulations and industry standards, such as GDPR and PCI-DSS, in all data-related activities
• Define and track key performance indicators (KPIs) for Retail/FMCG/Manufacturing/Energy and Distribution/Publishing operations to monitor performance against established goals.
• Utilized predictive modeling and forecasting techniques to anticipate customer behavior, inventory demands, and sales trends.
• Work closely with the IT team to ensure data integrity, security, and compliance with relevant regulations.
• Stay up-to-date with the latest industry trends and best practices related to Retail/FMCG/Manufacturing/Energy and Distribution/ Publishing analytics and data management
• Assist in efforts to fulfill data requests sent from other business /MIS teams.
• The lead will be required to step in and work on data requests when needed.
• Attend requirements-gathering meetings, assist customers in crafting their requests, manage team workflow, and review final artifacts.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Statistics, Data Management, Business Administration, or a related field.
• A master's degree is preferred.
• Should have played a Lead role in at least 3 BI and Analytics implementation projects.
• Strong understanding of Retail/FMCG/Manufacturing/Energy and Distribution/Publishing operations, including sales, inventory management, merchandising, and customer experience.
• Proficiency in data lake and technologies, such as AWS / Google / Snowflake or similar.
• Proficiency in data analysis tools and technologies, such as SQL, Python, R, SAS, Power BI, Tableau, or similar.
• Experience with data integration, ETL processes, and data warehouse concepts.
• Good knowledge of advanced analytics skill sets like Machine Learning and AI is an advantage.
• Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Excellent analytical and problem-solving skills, with the ability to translate data into actionable insights.
• Strong communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.
• Knowledge of data privacy regulations and compliance requirements relevant to the Retail/FMCG/Manufacturing/Energy and Distribution/Publishing industry.
• Certifications in data management, business intelligence, or related areas are a plus.