DESCRIPTION
Job summary
Are you interested in Amazon Alexa AI and have a passion for language and data? Come join us! We're building the machine learning driven natural language solutions behind Amazon Alexa.
We are looking for a detail-oriented Business Analyst with a passion for data. In this role, you will support a range of analytics efforts, including deriving data-backed insights into performance of Machine Learning models, establish automated metrics & dashboards for continual monitoring and solve complex problems through data driven exploration.
You will:
• Perform data analytics on large scale data
• Generate actionable insights through deep dive analyses into the performance of machine learning models
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• Lead and test tooling developments and pilot processes to support expansion to new data areas
• Continuously evaluate data analysis tools and processes and offer solutions to ensure they are efficient, high-quality and scalable
• Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
• Closely collaborate with colleagues from science, engineering and business backgrounds
BASIC QUALIFICATIONS
• 1+ years of experience in financial/business analysis
• Experience with SQL or ETL
• Experience defining requirements and using data and metrics to draw business insights
• Bachelor's or Master's degree in a relevant field
• Advanced proficiency in scripting, querying and/or analytics languages and tools: SQL, Tableau, Python, R, SAS, or similar
• 2+ years of professional experience in analytics, business analysis or comparable consumer analytics position
• Demonstrated ability for analytical problem solving and research design skills
• Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
• Strong organizational skills, strong attention to detail and experience balancing multiple tasks and deadlines
PREFERRED QUALIFICATIONS
• A self-starter, who proactively converts gaps into opportunities
• Experience working with language, language data, speech recognition and/or natural language processing
• Comfortable working in a fast paced, highly collaborative, dynamic work environment
• Native or near native fluency (read and write) in one or more Indian regional languages