Business Intelligence Engineer, Workforce Solutions - Talent Management

DESCRIPTION

The Workforce Solutions Talent Management team is looking for Business Intelligence Engineer (BIE) who enjoys the challenge of diving into complex business problems, providing data driven insights, and making recommendations that directly impact business. The BIE will use broad technical skills to build analytic and reporting capabilities.

The BIE will work closely product managers, program managers, BIEs, data scientist and data engineers to drive solutions.

Key job responsibilities

Develop scalable models and tools that speed up both decision making and accuracy for the team

Be a key influencer in strategy and contribute significantly to team planning

Show good judgement making technical trade-offs between the team’s short term and long term business needs

Navigate discordant views, find the best way forward, and influence stakeholders around a solution

Defining, developing, and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis

Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendation

Mining and manipulating data from database tables, simulation results, and log files

Identifying data needs and driving data quality improvement projects

Understanding the broad range of Amazon’s data resources, which to use, how, and when

Modeling complex/abstract problems and discovering insights using statistics, data mining, and visualization techniques

Automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate insights to the business teams

Collaborating effectively with internal end-users, cross-functional software development teams, Data Engineering teams, Analytics teams etc. to solve problems and implement new solutions

About the team

You will be part of the Data and Analysis team within the Workforce Solutions Organization. The team owns the full suite of employee facing products.

BASIC QUALIFICATIONS

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

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

Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

Experience with scripting language (e.g., Python, Java, or R)

PREFERRED QUALIFICATIONS

Master's degree, or Advanced technical degree

Knowledge of data modeling and data pipeline design

Experience with statistical analysis, co-relation analysis

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 82,300.00 - 144,000.00 USD annually