Archer · 1 week ago

Senior Data Analyst

San Jose, CA

Full-time

Hybrid

Senior Level

$170K/yr - $196K/yr

2+ years exp

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AerospaceAir Transportation

Insider Connection @Archer

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonSQLGitAWSStatistical AnalysisPandasScikit LearnETLCausal InferenceExperiment Design/B TestingStatistical ModelingMetabaseTableauMachine LearningRegressionClassificationAWS DeploymentTelecommute

Required

Master's degree in Computer Science, Analytics, Statistics, or a related field

2 years of experience in roles such as Data Scientist, Business Analyst, Product Analyst, Growth Analyst Intern, Assurance Associate, or similar

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

Deploying statistical and machine learning models into AWS production environments