Data Steward, Re:Cycle Reverse Logistics

Descripción del puesto:

The re:Cycle Reverse Logistics Operations team offers worldwide cloud computing providers with a centralized means to disassemble, sort, function test, in-warranty return, repair, erase/wipe, and disposition server and networking assets that break or are no longer needed in the fleet. The team is seeking a detail-oriented, analytical, and self-driven Data Steward to support its global operations by driving and working collaboratively across teams to maintain data consistency and accuracy, and by generating and driving data-related performance metrics in the organization's warehouse management system. This scope will ensure data reliability for the organization's three operating systems, driven by 400+ global users through our four global facilities that are generating millions of transactions per month across 70+ data tables. This role is critical to the re:Cycle Reverse Logsitics system-management team that is responsible for maintaining application security, data, and compliance, and plays a key role in enabling global operations with reliable information needed to align on daily, monthly, and annual plans, and tracking operational performance to plan. Auditing and analyzing the system's data (both extracted and in-application), repairing inaccurate data, working across the organization and 3P service provider to root cause and repair recurring data issues, analyzing and prioritizing data "bugs" for resolution, supporting data change management initiatives, and generating/driving data-related performance metrics for leadership presentation are all in a day's work for the reverse logistics Data Steward.

Key job responsibilities
*Ensuring accuracy, consistency, and completeness of system data, both within and outside of the application
*Developing and enforcing data standards, policies, procedures, and governance strategies to maintain global data integrity and compliance
*Performing regular data quality assessments, developing and implementing scorecards and improvement plans to address identified issues
*Working closely with stakeholders across the organization and service providers to understand data requirements and provide support
*Utilizing SQL to query, extract, and analyze data to support business needs
*Generating and presenting data performance metrics and reports/visuals to leadership to drive data consistency and accuracy
*Providing training and support to team members on data-related topics and best practices
*Managing ticket queue, prioritization, and tradeoffs for strategic system developments
*Facilitating migration of legacy data into new systems and reporting architecture as needed
*Testing new data in development to ensure a successful implementation into production environments

A day in the life
About AWS
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About the team
The re:Cycle Reverse Logistics Operations team offers worldwide cloud computing providers with a centralized means to disassemble, sort, function test, in-warranty return, repair, erase/wipe, and disposition server and networking assets that break or are no longer needed in the fleet. The Operation Integration team supports global operations by enabling and maintaining the warehouse management systems and processes that govern every value-add service that the organization performs on millions of parts per year. This team is critical in providing software guardrails to protect assets, to ensuring traceability of assets coming/going, and providing cross-organizational data

Requerimientos del candidato/a:

- Experience as a Data Engineer or in a similar role
- Bachelor's degree in Data Science, Computer Science, Information Systems, or related, or 4+ additional years of related experience in lieu of a degree
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
- Experience working with and managing third party vendors

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