About Us:
TMZ is a young and aspiring Cross border e- commerce company in the print- on- demand and gift personalization industry, dedicated to delivering bespoke products and experiences to our customers. Our goal is to become a leading global company in giftings, leveraging cutting- edge technology and creativity to turn everyday items into unique, meaningful experiences. In our quest to enhance our data- driven decision- making capabilities, we are seeking a Lead Data Engineer and Analyst to join our team.
Job Summary:
As a Lead Data Engineer and Analyst, you will play a pivotal role in transforming raw data into actionable insights and strategic guidance, directly influencing the company&039;s direction and success. Working closely with the Chief Data Officer, you will architect, implement, and maintain our data infrastructure, ensuring the availability, integrity, and usability of data across the organization. Your expertise will drive the development of analytical tools and models that support various departments, including marketing, sales, product development, and customer service, facilitating a data- informed culture.
Key Responsibilities:
Collaboration & Strategy: Work closely with the CDO and other stakeholders (sales and marketing, design departments, etc.) to identify opportunities for leveraging company data to drive business solutions. Participate in strategic discussions to shape the company&039;s data strategy and analytics roadmap.
Data Integration & ETL Processes: Develop and maintain robust ETL (Extract, Transform, Load) processes and pipelines to integrate data from diverse sources, ensuring data is accurate, timely, and consistent.
Innovation & Continuous Improvement: Stay abreast of industry trends, technologies, and practices in data engineering and analytics. Recommend and implement improvements to processes and systems to enhance data capabilities.
Data Infrastructure Development & Maintenance: Design, build, and manage the company&039;s data infrastructure to support batch and real- time data processing. Ensure the scalability, reliability, and security of the data architecture to meet business needs.
Analytics & Reporting: Develop advanced analytics models and reporting tools to provide deep insights into customer behavior, product performance, and market trends. Deliver regular reports and dashboards to stakeholders to inform strategic decisions.
Objectives:
Collaboration, Innovation, and Continuous Improvement. Foster a culture of innovation and continuous improvement in data practices, collaborating closely with key stakeholders to leverage data in driving business solutions and shaping the company’s data and analytics strategy.
Data Integration and Insight Generation. Develop and maintain state- of- the- art ETL processes and analytics models that integrate data from diverse sources, ensuring high data accuracy and timeliness, and providing actionable insights for strategic decision- making.
Data Infrastructure Excellence. Design, build, and manage a cutting- edge data infrastructure that ensures scalability, reliability, and security to meet current and future business demands.
