Job responsibilities

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Implement the latest techniques to analyze and extract data and uncover growth prospects
Define, create, and manage efficient data cleansing and processing
Create databases, supervise data accumulation, and write scripts to continue flexible data evaluation procedures
Work closely with stakeholders and technical teams to establish essential metrics and KPIs
Deliver actionable information to various stakeholders to help them make well-informed decisions
Analyze quantitative data, prepare reports, and present results
Develop, implement, and maintain advanced data analysis systems to address complex issues

Minimum requirements

Bachelor’s/Master’s Degree/MA or Ph.D. with a focus in Business, Math, Economics, Finance, Statistics, Science, or Engineering
3+ years of professional experience as a Data Analyst (rare exceptions for highly skilled candidates)
Experience with data mining, data models, segmentation techniques, and database design development
Ability to structure, analyze, and extract data according to business requirements
Strong understanding of data querying languages (e.g. SQL), or statistical/mathematical software (e.g. R, SAS, MATLAB)
Applied statistics or experimentation (i.e. A/B testing) experience in an industry setting
Expertise in programming languages and frameworks, such as Python, JavaScript, XML, and ETL
Fluency in English to collaborate with engineering managers
Work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

Analytical abilities, including the ability to accumulate, organize, analyze, and distribute large volumes of data with precision
Familiarity with relevant fields of technical writing, including reports, inquiries, and presentations
Excellent interpersonal and collaborative skills

Data Analyst Jobs id-1192