Description

Are you an organized, analytical, and process minded innovator who enjoys working with customers to solve problems with data? We are seeking an experienced Business Analyst to join the Field TA Program Management Office, supporting Operations Recruiting in North America. The PMO team enables on-time reporting and inspection of our organization to understand delivery risk. We recognize the value of healthy organizations and seek to quantify them in order to build a diverse, equitable, and inclusive workplace.

In this role you will collaborate directly with senior leaders to inspect recruiting processes and identify insights that increase recruiting efficiency, candidate experience, and Amazon's overall ability to hire top talent.

Qualities that are most important to be successful in this role:

High standards and impeccable attention to detail: our tools and analysis are considered "the source of truth" for making many business critical decisions.

Strong critical thinking skills and good judgement: Sometimes the data we have available to make decisions doesn't tell the full story. Our team members ask the right questions and make smart choices about how to move forward when data and anecdotes don't line up.

Excellent verbal and written communication skills: You will be working with customers across the globe and we do a lot of communicating by email. Your ability to communicate effectively is critical to delivering projects.

A desire to collaborate: Our team thrives on incorporating the ideas and feedback of others into our work. Recognizing and leveraging the skills and insights of those around you is just as important as what you bring to the table.

What you’ll do:

Manage Data – Write SQL queries to pull data from disparate databases so it can be analyzed. Research and source new data opportunities. Partner with other BIE’s across Amazon’s HR organization to understand present sources and connect to new sources of data.

Create Reports – Create and manage processes to assure the best way to reflect data in meaningful ways that gets end users to act on it. Present information into core and scalable reports that facilitate decision making for recruiting and business leaders.

Insight Mining – Explore data for insights about the opportunities and bottlenecks in the recruiting process.

Ad Hoc Analysis – Conduct data analysis to support needs of the recruiting leadership team as we seek to increase the volume and quality of hiring for our business teams.

Presentation – Display analysis and insights in front of influential audiences in a way that efficiently and effectively gets them to understand key themes.

Skills:

Analytical – Turns data into business insights. Skilled in identification of trends in data, their degree of statistical significance, and how reliably they can be inferred to broader populations. Educates and shares best practices in the field and brings sound yet innovative techniques

Influence – Using the data to make meaningful improvements in the recruiting process. Interpreting data in a way that make it impacting to the business versus data analysis for its own sake.

Reporting – Informing stakeholders on the best way to visualize data for optimum impact. Offering new ways to display data that had not been considered.

Business acumen – Demonstrates and cultivates an understanding of talent acquisition. Leverages this knowledge to explore for insights in data that prove or disprove long-held beliefs and helps to guide the ability to anticipate future talent needs that have not yet been identified

Basic Qualifications

• 3+ years of tax, finance or a related analytical field experience

• 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience

• 3+ years of business or financial analysis experience

• Bachelor's degree or equivalent

• Experience with SQL

• Experience defining requirements and using data and metrics to draw business insights

Preferred Qualifications

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

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 $66,900/year in our lowest geographic market up to $143,100/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.