Analytics & Data Science Stream:
Core Data Analysis Skills:
● Import, clean, transform, validate data from RDBMS (Oracle, Teradata) with the purpose of understanding or
making conclusions from the data for decision making
● Able to transform large volume data into information and information into insight
● Answer business questions by using appropriate statistical techniques on available data to improve key success
metrics related to yield management and revenue generation
● Produce a variety of reports, graphs, summaries and presentations that convey analytic results and align with
business needs
● Recommend and implement process improvements for timeliness, relevance and presentation
General Management Skills:
● Inquisitive, curious and creative
● High attention to detail
● Excellent interpersonal skills. Who enjoys collaboration in a demanding and changing environment
● Excellent communication skills. Able to communicate with people across all levels
● Ability to multitask and adapt to changes in priorities
● Challenge status quo, explore new alternatives and implement new approaches
Technical Skills:
● Expert in SQL; Experience in using RDBMS: Oracle, SQL Server, Teradata
● Proficient in base SAS. Working knowledge of advanced SAS, SAS STAT, SAS ETS etc.
● Exposure to programming and scripting languages like Java, JavaScript, Python, HTML is preferred
● Exposure to BI and visualization tools like Tableau, Spotfire, D3.js is preferred
Math & Stats Skills:
● Excellent numerical and data interpretation skills
● Solid understanding of foundational stats
● Exposure to advanced stats concepts – regression, forecasting & time series, segmentation, operations research
Experience:
● Experience in logistics and transportation industry preferred
Senior Analyst:
● 7-10 years of experience in analytics, informatics and statistics
● 5-7 years of SAS programming experience (e.g. SAS Enterprise Guide, SAS Enterprise miner; advanced macro
development and reporting skills)
Analyst:
● 3-4 years of experience in analytics, informatics and statistics
● 1-2 years of SAS programming experience (e.g. SAS Enterprise Guide, SAS Enterprise miner; advanced macro
development and reporting skills)
Education:
● Master’s in Business Administration, Mathematics, Operations Research, Statistics, Economics
● Bachelor’s in Engineering , Statistics, Economics
Potential target companies:
● DHL, ZS Associates, Cartesian Consulting, Fractal, Hansa CEquity, TCS e-serve, Accenture, ICICI Bank, Axis bank,
HDFC bank
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