Business Analyst Insurance Analytics Power Bi / Python

With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the world&rsquos biggest brands&mdashand we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We&rsquore harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we&rsquore calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower.
Welcome to the relentless pursuit of better.

Inviting applications for the role of Business Analyst - Insurance Analytics!
In this role, you will be involved to deliver intermediate to complex level of data gathering, validation, manipulation and transformation under guidance of a project lead.
You will have to perform statistical analysis and predictive modelling including unsupervised models.
Your role will require you to build & develop advanced analytics capabilities and assets/accelerators.

Responsibilities
. Set correct expectations and guidelines to get required data extracted from Data engineers.
. Be the primary point of contact for data engineers to work with them for managing data.
. Map the business requirement to the model appropriate for clients
. Work with Project lead to develop advance analytical capabilities and assets
. Manage client expectations and come up with optimal solutions

Qualifications we seek in you!
Minimum Qualifications
. Master Degree in a quantitative discipline such as Statistics, Actuarial Sciences, Mathematics, Quantitative Finance, or Economics

Preferred Qualifications/ Skills
. Strong analytical skills with a solid understanding of statistics and predictive modeling.
. Experience in the following predictive modeling techniques is a must - GLM, Linear Regression, Survival Analysis, Time Series, Segmentation/Cluster Analysis, Decision Trees & Random Forests
. Well versed with Python and R
. Advanced proficiency with Microsoft Excel
. Basic database skills, including SQL and ability to pull together disparate data sources. SSRS / SSIS Experience
. Should have skills to analyze data and provide insights on trends, patterns, etc. which will be critical to the business
. Ability to establish priorities and handle multiple assignments concurrently with minimal direction in an evolving, fast paced work environment
. Demonstrate ability to work independently and in a team environment
. Self-disciplined and results oriented
. Ability to communicate effectively both orally and in writing with various levels of management, including translating complex ideas and data into actionable steps for business units

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Key Skills