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Data Engineer
- ManpowerGroup (Houston, TX)
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Data Engineer, Retail Business Intelligence
+ Contract with extension potential C2H
+ Hybrid in Houston, TX
+ W2 only
SUMMARY
Join the Retail Business Intelligence team to strengthen the BI capabilities of company retail.
DUTIES
• Gather large and complex data sets to meet business requirements.
• Re-designing data marts for scalability and optimization.
• Ensure data architecture supports existing and future requirements of evolving business model
• Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Create and maintain documentation for each step in the data lifecycle
• Develop and maintain operational dashboard and executive-level reporting using tools like Tableau, or Power BI
• Interact with functional business units to analyze, gather, and prioritize business and reporting requirements
• Partner with the Enterprise Data and Analytics leaders and teams to manage the key data processes, tools, and architectures needed to deliver confidence in regular reports.
• Collaborate with Enterprise Data and Analytics team to implement data management, data quality best practices and standards
• Partner with business leaders to develop, monitor, and report on marketing tests for new or enhanced products and campaigns
• Provide ad hoc report for Retail organization for experiments in market.
• Hands on development of data models in Oracle, AWS and data visualizations.
• Formulate and provide status updates on project plans and schedules to meet goals/objectives
REQUIREMENTS
• Bachelor's degree
• **Gas or power industry experience with knowledge of the retail electricity market is a must**
• 3+ years in one of programming languages like SAS/R/Python is a must
• 4+ years of professional experience in business intelligence and data analysis
• 3+ years of SQL
• 2+ years building dashboard and using Tableau/Power BI
• 1+ years in AWS and big data distributed ecosystems
• Experience with dimensional modeling and improving data reliability and data quality
• Data models and data pipelines
• Good understanding of cloud technologies
• Good understanding of relational and non-relational databases
• Experience working with large datasets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets
• Strong organizational skills and comfort interacting with different lines of business, IT, and senior management
• Comfortable with ambiguity; ability to work with incomplete data or open-ended questions, and translate into actionable items
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.
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