As a Senior Data Analyst in the team, you will develop a deep understanding of the Insurance business, the process InsuranceDekho follows to optimize operations and the underlying data. You will ideate with stakeholders and create analysis and reports around performance metrics essential for day to day operations. Also, you will contribute to decision making that will help the company further optimize its operations, creating impact on the Top and Bottom line of the company.

To be a successful Senior Data Analyst, you must have a robust background in data analytics and data visualization, be comfortable with ambiguity and tight deadlines. Further, you must also be able to work independently on analytics projects focused on driving impact for the business.

Finally, your communication skills must allow you to work elegantly and professionally with cross-functional stakeholders, and influence data driven decision making.

If you like working with data, collaborating with stakeholders and using data to drive efficiency, this role is for you!

Experience Range:

2 - 4 years

Educational Qualifications:

Any graduation,

Job Responsibilities:

- Understand business problems, propose and independently implement immersive data analytics solutions and generate actionable insights

-Use knowledge of SQL to write optimized queries

- Independently create and present analysis to end stakeholders with focus on impact

- Independently create impactful presentations/dashboards on BI tools (Power BI/Tableau)

- Draft responses to time-sensitive data requests from team members that are accurate, digestible, and easy to understand

- Collaborate with cross-functional teams including data engineering, product and business teams outside of the analytics team

Skills Required:

Business Analytics, Excel, Python, MySQL,

Annual Salary Range:

INR 12,00,000 - 16,00,000

Candidate Attributes:

Technical Skills :

- SQL skills

- Working knowledge of Python/R

- Demonstrated experience using BI tools like Tableau and Power BI

- Advanced analytical and Excel skills required to understand, manage, and assess large data sets, including the ability to interpret results

- 2-4 years of industry experience in a data science or analytics role

- Degree from a highly-competitive academic institution in quantitative field: statistics, economics, applied math, operations research or engineering.

- Previous experience working with very large datasets across multiple databases in startup environment or large - commercial institution