Firm Name: Amazon

Numbers of Jobs: Data Analytics Manager

Education Need: Graduate

Job Hours: 8

Payment: $20-$30/Hours

What's Job City: Seattle

Job Details:

The Amazon Security Special Programs, Evaluations, Assessments and Response (SPEAR) Operations Support and Services (OS2) team is growing to support the quick expansion of Amazon facilities and associated security operations. We're looking for a Technical Program Manager (TPM) with experience in data team management, business intelligence, and data analytics for a critical position on the OS2 Team. You will be responsible for overseeing OS2's Data & Analytics (DnA) team, delving deeply into data, converting business problems into specifications for analysis, reporting, building and maintaining dashboards, and driving data initiatives for various Amazon business lines and accounts (including GovCloud). This position's holder will offer significant business insights to stakeholders in order to support strategies, operational metrics, security solutions, technology implementation, business decisions, improvement processes, and visibility across organizations. The position requires about 20% international travel in order to guarantee the success of this team's mission.

 ESSENTIAL RESPONSIBILITIES INCLUDE:.

•  Senior leaders and other stakeholders should receive reporting, data visualizations, and analysis.
•  * Check to see if the data is still accurate, usable, auditable, and available.
•  * Promote the adoption of a data culture across SPEAR.
•  * Analyze data, identify dangers, and highlight investment opportunities.
•  Only U. S. Given that it supports the AWS GovCloud region, this position is only open to Amazon employees based in the country. S. Residents. Locations outside of the US are unable to access GovCloud.
•  Our team places a high value on work-life balance. We don't care how much time you spend working or online because happiness and success here depend on you being able to successfully balance your personal and professional lives. Instead, we're happy to give you a flexible schedule so you can lead a more balanced life that is both more productive at work and outside of it.
•  Helping new members is one of our group's top priorities. We are developing a culture that values mentoring and knowledge sharing and have a diverse range of tenures and experience levels. We take your professional growth seriously and make a concerted effort to assign projects that will each team member develop into a more well-rounded engineer and better equip them to take on more difficult jobs in the future.
•  At AWS, we value our individuality. Building an inclusive culture is something we are very committed to. 40,000 employees worldwide participate in our ten employee-led affinity groups, which have more than 190 chapters. We host annual and ongoing learning opportunities as well as cutting-edge benefit offerings with our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. To further support Amazon's inclusive culture, our 16 Leadership Principles serve as a reminder to team members to consider alternative perspectives, learn and be curious, and earn trust.

 REQUIREMENTS ESSENTIAL.

•  An accurate representation of the knowledge, skill, and/or ability required to perform this job is provided by the fundamental requirements listed below.
•  a proven track record of managing projects involving cross-functional teams, developing robust processes from ambiguous states, and maintaining complex mechanisms.
•  4+ years' experience managing technical/data teams, or an equivalent level of expertise.
•  4+ years of relevant experience working as a technical program manager, business analyst, data engineer, or business intelligence analyst.
•  using Tableau and AWS QuickSight for visualization for more than two years.
•  SQL competence for reporting and analysis.

 Priority requirements.

 Examples of preferred abilities, knowledge, and/or skills that are desired but not mandatory for this position but that define a successful applicant are provided in the list of preferred qualifications below:.

•  Java and Python knowledge are both required (Maxis).
•  strong written and verbal communication skills, the ability to analyze data quantitatively, and the ability to solve problems quickly.
•  understanding of modern data warehousing techniques (including dimensional data modeling, ETL management and programming, etc. ). ).
•  understanding of data science, mathematical modeling, statistical modeling, or a related field.
•  understanding of AWS products and services (S3, Redshift, AuroraDB, DynamoDB, Lambda, EC2, etc. ). ).
•  meets or exceeds the leadership criteria established by Amazon for this position.
•  satisfies or exceeds the functional and technical complexity standards established by Amazon for this role.
• .