Why would you like to join us?
TransOrg Analytics, an award winning - Big Data and Predictive analytics- company, offers advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, UK, Singapore and the Middle East.
Our products - Clonizo' (customer cloning) have yielded significant incremental benefits to our clients. We have been recognized by the CIO Review magazine as the - Predictive Analytics Company of the Year- and by TiE for excellence in entrepreneurship.
What do we expect from you?
Analyze & interpret data and communicate results to clients, often with the aid of mathematical / statistical techniques and software.
This role requires : Data exploration, mathematical / statistical modelling, data analysis and hypothesis testing.
Design, development and deployment of Predictive models and frameworks.
Complex statistical concepts are explained in a way that clients can understand and advice on strategy.
What you need to excel at?
Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modelling.
Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need.
Design and build dashboards and other visualizations in BI tools.
Should be able to handle assigned tasks in the capacity of individual contributor.
Demonstrate excellent teamwork.
Collaborate with other data analysts to provide development coverage, support, and knowledge sharing and mentoring of junior team members.
What are we looking for?
Bachelor's in Computer Science / Engineering, Statistics, Math or related quantitative degree or equivalent work experience.
Experience with modelling techniques such as clustering, linear & logistic regression, random forest etc.
Must have a passion for data, structured or unstructured.
3-6 years of hands-on experience with R / Python and SQL is must.
Should have sound experience in data mining and data analysis.
Excellent critical thinking, verbal and written communications skills.
Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.
Good presentation skills