Location: Gurugram

Job ID: DS1002

Job Type: Full time

Experience: 3-5 years

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