Senior Business Intelligence Engineer, Key

Blink

Blink

Operations, Data Science
Seattle, WA, USA
Posted on Wednesday, May 15, 2024

DESCRIPTION

Come join Amazon Key for Business team and help drive the transformation of our customer delivery experience at scale. Key for Business, our patented building access technology, supports Amazon Last Mile in the US.

We are actively looking for a Business Intelligence Engineer to join our start-up team to help inform the direction of Key for Business through data, at scale. Successful candidates will be comfortable creating and optimizing table structures, identifying KPIs that drive the business, generating reports for those KPIs that are consumed across the Key for Business organization, analyzing data to inform strategic and tactical initiatives, and writing up the findings from analyses for less-technical audiences. Strong SQL (any implementation) is a must. Scripting skills, and background in operations is extremely valuable. This is a highly visible role that partners with business, product management, operations, and the technical team.

Key job responsibilities
Design, implement, and support a platform providing ad hoc access to large datasets
Manipulate/mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and ETL
Manipulate/mine data from log files by writing scripts (ex. PERL, Python, UNIX)
Develop analytical tools: deep-dive tools, UIs, metrics, and dashboards
Perform deep-dives and root cause analysis to answer business questions
Work with cross functional stakeholders in defining the source of truth and obsessively making sure the data fidelity is high
Effectively communicate (written and verbal) solutions and methodologies to senior leadership
Work with engineering teams to enable the appropriate capture and storage of data
Complete ad hoc data retrieval and analysis
Monitor existing metrics, develop and propose new metrics, and identify new, actionable risk signals

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

Austin, TX, USA | Dallas, TX, USA | 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 data visualization using Tableau, Quicksight, or similar tools
- Experience with theory and practice of design of experiments and statistical analysis of results
- 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 with statistical analytics and programming languages such as R, Python, Ruby, etc.
- 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. This position will remain posted until filled. Applicants should apply via our internal or external career site.