Data Engineer, Business Intelligence

Data Engineer, Business Intelligence

This is a great opportunity to work with a strong and cohesive technical team, with an Employer of Choice in the Houston market!

Location: Hybrid (3-4 days in office) in the Houston, Texas area (Candidates must be local)

Work Authorization: U.S. Citizenship required

Job Type: 6-month contract role with the possibility of being extended to 12-18 months

Pay Range: up to $60.81/hr

We are seeking a Data Engineer, Business Intelligence to join its Retail Business Intelligence team to strengthen the BI capabilities of the retail division. The position requires 4 years of data management, modelling, and BI experience. The successful candidate will possess a strong data modeling, data visualization background and will provide expertise and best data engineering practices. The candidate should have a demonstrable record of being able to interact effectively with business stakeholders in all functional areas to gather and understand business requirements and reporting needs. Ability to learn new technologies, welcome challenges, accept new responsibilities, work well as individual and as a team and adapt quickly is essential.

Essential Duties/Responsibilities:

• 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

Working Conditions:

• Hybrid work: Working 3-4 days a week in the office.

• Some overtime may be required as special projects arise or daily operations dictate

Additional Knowledge, Skills, and Abilities:

• Ability to manage multiple priorities while committed to deadlines and work overtime when required

• Proficient in effectively communicating to a wide range of audiences, both written and oral

• Self-starter with strong work ethic

• Ability to evaluate and learn modern technologies quickly

• Strong data due diligence skills ensuring data accuracy and reliability