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26/03 Smriti Saini
Assistant Consultant at Huquo

Views:2229 Applications:135 Rec. Actions:Recruiter Actions:9

Senior Consultant - SQL/Machine Learning - Insurance (6-10 yrs)

Delhi NCR Job Code: 812187

Brief description of the role:

- Work with the team to solve client business problems by translating them into an analytics problem solving framework

- Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas

- Identify pattern and insights for drivers of premium discrepancy (Billed vs Expected)

- The individual needs to leverage existing data and generate actionable insights

- Develop and maintain relationship with business stakeholders

- Business Problem Solutions with Value addition to client businesses

- Research and apply new methodologies to varied client situations

- Lead a team of analyst to solve for client problem

- Ensure adequate project governance (internal and external)

- Contributions to Strategic Initiatives within Analytics practice

Candidate Profile:

Education/Qualification:

1. Mandatory: Bachelors in Engineering/ Technology/Statistics or Masters in Computing (In case of graduation in Non-engineering stream), like MCA, BCA, M.Sc. in IT, No B.Com / B.A. candidates unless they have a computing Masters. Master's degree (if there), should be full time

Work Experience:

1. Flexible : 5+ years in Analytics industry

2. Understanding of insurance (Life / Health and Supplemental Health Insurance)

Functional Skills:

1. SQL knowledge (Mandatory)

a. Should be able to write and optimize SQL queries to retrieve and process data from databases

b. Should have exposure to different database systems

2. Knowledge of SAS/ R/ Python

3. Has worked with at least one pure analytics project (excluding Visualization projects) demonstrating :

a. problem solving skills,

b. ability to convert business problem to analytical problem

c. leveraging analytics tools & techniques for problem solving

Women-friendly workplace:

Maternity and Paternity Benefits

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