Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes.
Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
• Build tools for automating repetitive tasks so that bandwidth can be freed for analytics
• Collaborate with program managers and business analysts  to help them come up with actionable, high-impact 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 2 years.
• The ability to program in any high-level language is required. Familiarity with Python and statistical packages are preferred.
• Proven problem solving and debugging skills.
• Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing.
  Work experience with real data for customer insights, business and market analysis will be advantageous.
• Experience with text analytics, data mining and social media analytics.
• Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.

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