Job Details

ID #12114366
Estado California
Ciudad Menlopark
Tipo de trabajo Contract
Salario USD $50 - $65 50 - 65
Fuente Applicantz, Inc.
Showed 2021-04-11
Fecha 2021-04-08
Fecha tope 2021-06-07
Categoría Etcétera
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Data Engineer

California, Menlopark, 94025 Menlopark USA

Vacancy caducado!

Qualifications Skills and Experience
  • At least 5+ years of experience as a Data Engineer in analyzing product, customer, marketing related data and building data pipelines.
  • Strong Communication skills
  • Strong background in quantitative data analysis as well as prediction and regression techniques.
  • Experience performing A/B testing on very large, multi-dimension datasets
  • Proficient in SQL and Visualization (Tablueau/Qlikview)
  • Strong Proficiency in Microsoft Excel and standard analytic programs
  • Strong business acumen and ability to manage conversations at multiple levels of the organization
  • Ability to present data insights concisely to various stakeholders, especially business teams
  • Entrepreneurial spirit and a passion for data, customer focused mindset, team player

Responsibilities:
  • Demonstrate up-to-date expertise in handling data extractions from multiple data sources and capable of analyzing large volumes of data to address key business questions to enable growth
  • Manage stakeholder relationships and expectations by developing a communication process to keep others up-to-date on project results and timeline expectations
  • Lead or participate in multiple projects by completing and updating project documentation; managing project scope; adjusting schedules when necessary; determining daily priorities; ensuring efficient and on-time delivery of project tasks and milestones; following proper escalation paths; and managing customer and supplier relationships
  • Provide decision makers and influencers with logical data-driven insights translating into hypotheses for lean testing, rapid prototyping and effective implementation
  • Construction of critical business application tools to be used by managers and consultants to be tuned to the pulse of the business
  • Identify new technical requirements, and test/troubleshoot data capture to ensure reporting and analytics systems conform to data quality standards

Vacancy caducado!

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