• Location: USA, Texas, Austin
  • Salary: US$210000 - US$220000 per annum
  • Technology: AWS Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 23rd Sep, 2019
  • Reference: 9/23/2019SO_1569251312
Responsibilities:

* Use data-driven techniques to foster innovation within the organization, and serve as the organization's thought leader on analytics approaches necessary for driving business impact
* Support the success of various functional teams via data-driven decision making and ensure alignment across teams based on their individual data needs
* Collaborate with technical leaders and define the strategy around continuous investments around data infrastructure and platform to enable critical data capabilities
* Able to work in a hands-on fashion to ensure successful execution of data initiatives, leading by example
* Nurture and grow a team of data analysts and data scientists and support their professional development
* Ensure data best practices and play a critical role in building a data-driven culture throughout the entire organization

Qualifications:

* Established track record driving business goals and offerings through data, business intelligence, and analytics
* Have built and lead a data team that has created a data-driven culture at a company as they scale
* Track record as a hands-on data leader delivering models within a large scale data environment
* Proficiency with Python and R, or similar analytics and programming languages
* Experience with Amazon Web Services (RedShift, S3, EC2, EMR, etc.) and Apache Spark preferred
* Familiarity with relational modeling, database applications and integrations, ETL tools, client/server solutions, and modern query languages preferred
* Familiarity with data visualization applications, like Periscope, Tableau, Looker, D3/javascript
* Experience with statistical methods, machine learning techniques, and prolific A/B testing in service of real-world business challenges
* Experience managing and developing high-performance teams
* Ability to engage with a wide variety of team members at different levels, delivering insights and recommendations

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