SIBIA - Analytics Lead

Analytics Lead

- SIBIA creates live analytics solutions with cutting edge predictive methodologies and state of the art web technologies to provide Decision Enabling applications to business users across industries for marketing, sales and customer intelligence domains.

- We are looking for a dynamic analytics leader who can build strong capabilities in predictive analytics using Big Data, Machine Learning and digital technologies to solve key business challenges

- The Analytics lead will manage the solutions by leading from the front. You will be responsible for the managing the project, client, team and management expectations.

- You will be a self-driven individual working independently towards to success.

- We are an open environment, ownership driven new age business that rewards the entrepreneurial qualities in every individual work for us.

Typical Responsibilities :

- Develop new Solutions that have high impact on sales and revenue, marketing ROI or customer experience.

- Use advanced platforms (e.g., R, Python, Big Data, Cloud Computing) and capabilities (e.g., Machine Learning) to provide the most accurate, faster and cheaper solution to the clients.

- Build solutions that improve our existing solutions in the marketing and sales optimization

- Work towards industrialization of Big Data and Machine Learning to scale the solutions

- Thought Leadership : Working with the client business and help define the path to higher success with analytics

Consulting : Advise client businesses on new ways to solve business problems, inform them of industry practices that can improve business metrics.

- Integration : develop solution by integrating technology (data visualization, clod computing) to make live solution that provides real time value to the business users

Post-graduation : Economics (with Econometrics), Statistics, Computer Science, Mathematics, Operations Research and related fields.

Experience :

- 2-6 years of experience in the field of advanced quantitative techniques, data sciences or machine learning while working for leading global or niche analytics organizations in purely analytics solution development roles