We are looking for a Sr. Business Intelligence Engineer to join our team. Supporting the One Medical Finance team, you will develop the team's data infrastructure from the ground up, this includes key source of truth datasets, reporting tools and an overall data strategy.
Responsibilities
You know and love working with business intelligence tools, can build statistical models using multidimensional data sets and can partner with business owners to answer key questions. You are analytical, innovative, creative, disruptive, and you don’t give up. In this role you will have an opportunity to define the data strategy of a new business, create new tools from the ground up, build new products to drive insights, and implement end to end reporting solutions.
Key job responsibilities
You will also have the opportunity to display your skills in the following areas:
- Interface with business/finance leaders, product managers, data engineers and software developers, gather requirements and deliver complete analytics/reporting solutions.
- Own the design, development, and maintenance of source of truth datasets, ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Design and optimize data models, data schemas, and databases to support BI reporting and analytics requirements.
- Make recommendations for new metrics, techniques, and strategies to improve profitability
- Improve One Medical's capabilities/products and help business owners uncover hidden opportunities using data, analytics and machine learning.
- Provide ad-hoc and automated access to large data sets.
- Understand business and product strategies, goals and objectives. Set the analytics roadmap to drive the goals of the business.
- Own the analytics for one or more product areas, lead planning, execution and delivery of projects for that area(s), manage stakeholders and internal customer/client needs/requests
- Implement data quality processes and standards to ensure accuracy, consistency, and reliability of BI solutions.
BASIC QUALIFICATIONS
- 5+ years of SQL experience
- Experience building measures and metrics, and developing reporting solutions
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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.