Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
Job Title: Senior Data Analyst
Worksite: 190 W. Tasman Drive, San Jose, CA 95134
Salary Range: $170,186.00 - $195,714.00 per year
What You’ll Do
-Shape product and business strategies through data-centric approaches to identify new
business opportunities and operational improvements.
-Collaborate with technical and business experts to determine critical requirements for
vehicle requirements, charging infrastructure, operations, certification, and network
development.
-Design and build dashboards, conduct analysis, and expand data pipelines to inform
technical and non-technical stakeholder decisions across departments using Metabase
and Tableau.
-Contribute to in-house decision support software suite using modern software
development standards (git, CI/CD, ETL pipelines).
-Identify novel problems in Urban Air Mobility (UAM) that have not yet been explored, and
solve and present them to leadership.
-Build algorithms used in real-time service that power the digital backbone of our core
product utilizing applied machine learning through regression and classification.
-Deploy these algorithms to our cloud-based AWS production environment.
-Design systems to collect, interpret, and release production data metrics.
-Maintain, monitor, and debug production models and decision systems.
-Measure the impact of new product features using statistical analysis, and experimental
and quasi-experimental methods, including A/B testing, causal inference and statistical
modeling.
-Apply ad hoc data analytics and present findings to influence strategy.
-May telecommute
MINIMUM EDUCATION REQUIREMENT: Master’s degree in Computer Science, Analytics, Statistics, or a
related field.
MINIMUM EXPERIENCE REQUIREMENT: Data Scientist, Business Analyst, Product Analyst, Growth
Analyst Intern, Assurance Associate, or a related occupation or job title in which 2 years of experience
with the following was gained:
-Programming in Python and SQL;
-Working with git and AWS;
-Analyzing statistical data and models using python, pandas, scikit learn;
-Utilizing SQL and ETL pipelines;
-Applying causal inference methods and experiment design, quasi-experimental and
experimental methods such as A/B testing, causal inference and statistical modeling;
-Working with Metabase and Tableau;
-Utilizing Applied Machine Learning through regression and classification; and
-Deploying statistical and machine learning models into AWS production environments.
-May Telecommute.
Must put job code SJ2024ZWW on resume/CV and cover letter.
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