Description
Are you interested in being part of a high visibility, security centric team that directly impacts the mission operations of our most critical Government customers? We are looking for motivated self-starters that can work in a fast paced, data-driven environment. The successful candidate will be an analytical problem solver, have an extremely high level of security focus and a passion for process improvement.
This role requires an individual with excellent analytical abilities and security operations acumen, with exceptional written and oral communication skills. The successful candidate will have a strong understanding of different security principles, underlying data analytics, and the ability to assimilate new methodologies and data sources. They will be a self-starter comfortable with ambiguity, with strong attention to detail, vocally self-critical, an ability to work in a fast-paced and ever-changing environment. They will analyze large amounts of security data, discover and solve problems and build metrics and business cases to help security teams to make decisions.
The US ADC Security team is looking for an experienced Business Analyst with strong SQL skills to define and standardize reporting mechanisms that currently vary or do not exist. This position will be responsible for working with the team to build reports and data visualizations that will drive insights into root causes of defects in security processes and help the process evolve through data driven decision making.
Key job responsibilities
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Identify process and system improvement opportunities by monitoring existent metrics, analyzing data and partnering with internal teams
Design and develop automated reporting solutions to enable stakeholders to manage the business and make effective decisions
Supporting cross-functional security teams on the day-to-day execution of the existent program implementation
Work with structured data in a traditional data storage environment
Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization, cross-checking data against other published sources to determine fidelity
Utilize basic data-manipulation tools
Derive actionable recommendations from analysis that impact a process or team
Convert data to make it analysis-ready through descriptions, aggregations, and pivots
Implement/deploy data visualization or communication tools (e.g., metrics dashboards, decks, flashes)
About the team
Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship.
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life-both in and outside of work.
Basic Qualifications
8+ years of professional or military experience
5+ years of SQL experience
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Current, active US Government Security Clearance of Secret or above
Preferred Qualifications
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Experience programming to extract, transform and clean large (multi-TB) data sets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
