AMVETS Jobs

Description

Calling all experienced data analytics and engineering enthusiast! Are you looking for an opportunity to create self-services analytics capabilities that put descriptive, insightful, prescriptive and predictive analytics at the tip of your end users fingers? Come join our team (Talent Insights and Data Engineering Services (TIDES))!

--Our Org's Mission--

Amazon's Global Talent Management and Compensation (GTMC) org builds world-class enterprise products and experiences that help 1 million+ Amazonians achieve their career goals. The Integrated Talent Development Systems (ITDS) is the GTMC domain focused on building simplified talent management systems focused on career lifecycles of employees and managers.

--About You--

You want to make changes that help 1 million+ Amazonians achieve their career goals. You don’t want to make something 10% better as a part of an enormous team. Rather, you want to innovate with a small community of passionate peers. You have experience in analytics, reporting, and big data, and a desire to learn more about these subjects. You want a trusted role in strategy and product design. You put the customer first in your thinking. You have great problem solving skills. You research the latest data technologies and use them to help you innovate. You have great judgment and communication skills, and a history of delivering results.

Key job responsibilities

• Create end-to-end analytics solutions (acquire, integrate, and transform various data, develop production reporting pipelines, develop front-end BI tools (e.g Tableau, Power-BI, Quicksight).

• You are an analytics thought-leader and Subject Matter Expert for your domain and influence organization decisions through providing data-driven recommendations verbally or in writing.

• You are considered a technical leader on your team. You work efficiently and routinely deliver the right things with limited guidance. Your work focuses on complex and/or ambiguous problem areas in existing or new BI initiatives. You take the long term view of your team's solutions and how they fit into the team’s architecture. You consider where each solution is in its lifecycle and where appropriate, proactively fix architecture deficiencies.

• You are able to take the lead on large projects that require the work of multiple persons. You know how to divide a BI project into parallel work that can be performed by you and other data professionals and then reassembled successfully into a cohesive launch.

• You understand capabilities and limitations of the systems you work with (e.g. cluster size, concurrent users, data classification). You are able to explain these limitations to technical and non-technical audiences, helping them understand what’s currently possible and which efforts need a technology investment (e.g., data pipeline doesn’t exist, report needs additional functionality, etc.).

• You have established good working relationships with teammates and peers. You recognize discordant views and take part in constructive dialogue to resolve them.

• Your code submissions and analytics approach to work are exemplary. Your BI solutions are inventive, robust, scalable, extensible, and easy for others to maintain and build upon. You understand that not all problems are new (or require new BI solutions).

• You are a key influencer in team strategy. You take ownership of team infrastructure, providing a system-wide view and design guidance. You make things simpler. You drive BI engineering best practices (e.g. Operational Excellence, code reviews, syntax and naming convention, metric definitions, alarms) and set standards. You work to resolve the root cause(s) of pervasive or persistent problems; your efforts may unblock related teams. This may require you to influence decisions made by other teams.

About the team

---Our team's mission--

TIDES mission is to provide end-to-end analytics (Business Intelligence + Data Engineering) services and capabilities for the GTMC domain teams we support (e.g ITDS, Organizational Planning and Effectiveness). We strive to be a force-multiplier for our stakeholder teams by providing analytics thought-leadership and creating self-service tools to reduce manual efforts and remove us as a bottleneck in business teams ability to quickly make data-driven decisions. We see ourselves as an active (versus passive) partner that proactively looks around corners, and influences and informs org initiatives by listening to what the business wants but consistently delivering what it needs to better serve its customers. We work symbiotically with product and engineering teams to consistently unlock analytics just-in-time, and are the connective tissue for the business teams we support and their cross-org partners to help drive the success of their cross-org initiatives.

We are open to hiring candidates to work out of one of the following locations:

Austin, TX, USA | Seattle, WA, USA

Basic Qualifications

• 5+ years of SQL experience

• Knowledge of data warehousing and data modeling

• • Experience with data visualization using Tableau, Quicksight, or similar tools

• -Experience with data modeling, warehousing and building ETL pipelines

• -Experience in Statistical Analysis packages such as R, SAS and Matlab

• -Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

• Master's degree in statistics, data science, or an equivalent quantitative field

• Experience with AWS services (Redshift, Glue, Step-function, etc)

• Experience presenting analytical findings and recommendations verbally or in written form to a senior or executive leadership audience

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 $104,300/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.