Data Analyst

Position Summary:

• DecisionTree is looking for a Data Analyst to manage services delivery and analytics product delivery.
• You should have a proven track record in delivering analytical solutions in the retail domain.
• You must have a deep understanding and hands-on experience of analytical and statistical techniques, and must be well-versed in data exploration visualization tools.

Job Responsibilities:

• Work as a member of the project team on analytics projects.
• Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modelling techniques.
• Work with high-volume and multi-dimensional data from different sources.
• Solve analytical problems through quantitative methods.
• Identify and analyze target segments.
• Perform regular and ad-hoc business analysis.
• Understand client's priority areas and business challenge to recommend solutions.
• Present recommendations to senior management.
• Design, update and maintain multiple databases.
• Perform data research, analysis, and logical data modeling to validate and document the usage of business data artifacts.

Desired Skills and Experience:

• 1-3 years of work experience, in the area of Business Analytics using Descriptive and Predictive techniques.
• Minimum of 1 year of experience in Analytics in the Retail domain.
• Background in Engineering/IT, MBA, Statistics, Economics.
• Should have good experience in Data Mining, Data Analysis and Predictive Modelling using R.
• Should be well versed with databases like PostGreSQL, MySQL, MS SQL.
• High-level proficiency with SQL based query languages and relational data concepts.
• Advanced knowledge of Microsoft Excel is absolutely essential.
• Excellent analytical skills. The candidate should not only be able to analyze the data, but also drive the implementation of the recommendations.
• Must have a passion for data, structured or unstructured.
• Excellent verbal and written communication skills.
• Strong interpersonal skills, ability to work with teams in a timeline driven high pressure environment.