ID 1839 – Data Analyst

Responsibilities:
• Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , personal analytics
• Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems
• High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization
• Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes
• Good communication skills and an awareness of how to communicate data and results effectively

Minimum Qualifications:
• Undergraduate or advanced degree in BS in Mathematics, Economics, Computer Science, Information Management or Statistics
• Proven working experience as a data analyst or business data analyst
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Demonstrated ability with data analysis methods and analytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics
• Experience working with statistics packages like R, Python and Pandas. Developing scripts and using tools like Hive, Java, Jenkins and Oozie
• Communication Skills: You should be fluent in presenting findings, translate the data into an understandable document
• You will need to write and speak clearly, easily communicating complex ideas

Preferred Qualifications:
• 3 years of experience in data mining, data analytics, big data analytics or equivalent position
• Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem
• Desire to learn in a fast-paced environment


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