Data Analytics Consultant - Remote

Overview

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

In Short

• Work on the latest applications of data science to solve business problems
• Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.
• Understand the business context by discussing existing data models with senior client leaders and deriving useful business insights.
• Break down a project into specific tasks involving business analysis, data science and engineering.
• Direct teams of business analysts to create data driven solutions.
• Architect data analytics frameworks and solutions to solve data driven business problems.
• Use Data Science, Machine Learning, Artificial Intelligence, Operational Research techniques to develop data models.
• Extract, transform and organize the data into datasets using tools like SQL.
• Validate the results of the model solutions by developing testing frameworks using Hadoop, Python, etc.
• Report the results and insights using business intelligent tools.
• Make presentations to senior management, communicate results to business teams, and develop plans to help operationalize analytic solutions.
• Effectively communicate with and manage expectations across stakeholders.

Requirements

• Strong background in data analytics and business consulting.
• Experience with data science and machine learning techniques.
• Proficiency in SQL and data manipulation.
• Familiarity with Hadoop and Python for data validation.
• Excellent communication and presentation skills.
• Ability to work collaboratively in a team environment.

Benefits

• Opportunity to work with Fortune 100 companies.
• Engagement in cutting-edge data science projects.
• Professional development and growth opportunities.
• Flexible working arrangements including remote work.