At eero we pride ourselves in providing every customer a world class experience. Our vision is to provide everyone with the perfect internet experience. To achieve this, we need not only great products, but also great people to support our customers. We are seeking an experienced Business Intelligence Engineer responsible for gathering, analyzing, and presenting data to support decision-making processes within the Customer Support organization. Their primary role is to develop and maintain reports and dashboards that provide valuable insights and information to various stakeholders (L4-L10 level).
A day in the life
As the Business Intelligence Engineer for eero CS, you'll create reporting, dashboards, perform data analysis, and provide actionable recommendations based on your findings. Your analytical skills, attention to detail, and the ability to communicate complex information effectively will be essential for success in this role.
As a Business Intelligence Engineer you'll be responsible for:
• Data Collection and Analysis: Gathering relevant data from various sources, such as databases, spreadsheets, and software systems, and organizing it in a structured manner. Utilize tools like SQL, Excel, or data visualization software to clean, transform, and analyze the data to identify patterns, trends, and insights.
• Report Development: Creating reports and dashboards that effectively communicate data-driven insights to stakeholders. Design and develop templates, charts, graphs, and visualizations that present information in a clear and understandable format.
• Data Interpretation: Analyzing complex data sets and translating them into meaningful conclusions and actionable recommendations.
• Report Automation: Implementing automation processes to streamline data collection, analysis, and report generation. Leveraging tools and technologies to automate repetitive tasks, reduce manual errors, and improve the efficiency of reporting processes.
• Data Quality Assurance: Ensuring the accuracy, integrity, and consistency of data by performing regular data audits and validation checks. Identify data discrepancies, resolve data-related issues, and collaborate with relevant stakeholders to improve data quality.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- 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 $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. Applicants should apply via our internal or external career site.