Data Analytics Manager
San Bruno, CA
JOB SUMMARY & RESPONSIBILITIES:
This position is responsible for the operation of a department.
An individual in this position will be expected to perform additional job-related responsibilities and duties as assigned and/or necessary.
Manages the development and execution of cross-functional projects (for example, systems, reporting, analytics) and analytics initiatives for Global Marketplace by partnering with the business to determine needed capabilities to support global business strategies.
Evaluating existing systems capabilities and identifying strategic gaps.
Determining systems solutions that are sustainable, developing project plans based on business needs.
Working with project stakeholders to ensure alignment on project strategy and results, driving projects to completion.
Presenting results to leadership, Analyzes and interprets information to improve business efficiency and effectiveness by identifying industry data trends (for example, reputational metrics, seller scorecard indicators) and benchmarks.
Designing, coordinating, implementing new reporting, analysis, and data-management solutions.
Providing guidance and advising on next steps based on insights objectives and research.
Proposing improvements for strategic and tactical initiatives (for example, driving experience scores, increasing reputation measures).
Teradata Developer - Lead/Manager experience.
Experience in Tableau.
Teradata SQL advanced level experience required mandatory.
Strong experience in text mining
Experience in Hadoop/Hive.
8-10 years of experience working in data-warehousing domain.
8-10 years- experience with Teradata SQL development and ETL programming using Teradata native utilities (Mload, TPump, BTEQ, FastExport etc).
8-10 years- experience working in production support environment providing on-call support for production jobs (monitoring jobs, fixing and restarting jobs after failures etc.).
5-8 years- experience working in transaction analytics domain.
Bachelor's degree in Engineering (Computer Science or Information Technology preferred).
Technical Proficiency: SQL Programming, Data-warehousing & Database concepts and technologies, ETL, Teradata, SAS / R, Unix shell scripting, Tableau, Data Analytics, Digital Analytics.
Teradata candidates who have experience and exposure to Data warehousing & ETL is not enough, mandatory need lead OR/AND Managerial experience.
- provided by Dice