Data Analyst / Data Scientist

Summary

Psudo is seeking a Data Analyst / Data Scientist to compile actionable insights from data and assist program, sales, and marketing managers in building data-driven processes. The role involves driving initiatives to optimize 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 asks 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

Skills

• 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 2-3 years (open to talk to freshers as well)
• Ability to program in any high level language is required
• Proven problem solving and debugging skills
• Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing
• Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc
• Familiarity with R and statistical packages
• Work experience with real data for customer insights, business and market analysis
• Experience with text analytics, data mining and social media analytics

Qualifications

Must Haves

• 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 2-3 years (open to talk to freshers as well)
• Ability to program in any high level language is required
• Proven problem solving and debugging skills
• Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing
• Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc

Nice to Haves

• Familiarity with R and statistical packages
• Work experience with real data for customer insights, business and market analysis
• Experience with text analytics, data mining and social media analytics