You will help our clients solve real-world problems by tracing the data-to-insights lifecycle, understanding business problems, making sense of the data landscape & footprint, performing a combination of exploratory analysis, Machine Learning & Advanced Analytics, extracting actionable insights, and helping put together an execution roadmap.
At Gramener we help consult and deliver solutions to organizations where data is at the center of decision making. We have our proprietary products and services which help makes this easier by analyzing and visualizing large amounts of data.
If you love numbers, are passionate about applying advanced analytics to solve business problems and like working in an extremely dynamic, fast paced environment, we may be the company for you.
Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research etc.) from an institute or you learned Analytics on your own.
3+ years of experience using analytical tools/languages like Python, R, SQL
You must have delivered analytics solutions using Machine Learning techniques such as Linear Regression, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining etc.
Ability to work on large or small scale data (structured and unstructured)
You must be open to work across different domains and get a quick sense of the business processes & flows
Ability to translate business problems into the data realm and identify pertinent and meaningful solutions
Exceptional communication skills, both verbal and written, with a strong urge to learn, iterate and innovate
Passionate about applying advanced analytics to solve business problems and like working in an extremely dynamic, fast-paced environment