Data Analyst / Data Scientist (Remote)

• Job role: As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, reputed company managers build data-driven processes. Your role will involve driving initiatives to optimize for operational reputed company and reputed company. Responsibilities: • Ensure that data flows smoothly from reputed company to destination so that it can be processed • Utilize strong database skills to work with large, reputed company data sets to extract insights • Filter and cleanse reputed company (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes • Identify new reputed company data sources to support analytics initiatives and work with appropriate partners to reputed company the data into new or existing data infrastructure • Build tools for automating repetitive asks so that bandwidth can be freed for analytics • Collaborate with program managers and business analysts to help them come up with actionable, high-reputed company insights across product lines and functions • Work closely with top management to prioritize information and analytic needs Requirements: • Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 3 years. • Ability to program in any high level language is required. Familiarity with R and statistical packages are preferred. • Proven problem solving and debugging skills. • Familiar with database technologies and tools (SQL/R/reputed company/JMP etc.), data warehousing, transformation and processing. Work experience with reputed company data for customer insights, business and market analysis will be advantageous. • Experience with text analytics, data mining and reputed company media analytics. • Statistical knowledge in reputed company techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc. Apply Job!