• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 26th Mar 2022

Description: We are seeking a Business Intelligence and Analytics professional for our Insurance team. You will conduct deep dives to understand consumer behaviour, highlight actionable opportunities across the product funnel and then work in close collaboration with the partners in product and business teams to implement potential solutions to enable desired business outcomes. Additionally, your responsibility could also include optimizing growth funnel, generating insights and executting growth and business initiatives.

Responsibilities:

1. Build and maintain analytical reports and dashboards to provide a deep view of performance of funnel, user journeys and campaigns

2. Enable test and learn for understanding user behavior and target growth opportunities. Optimize the growth campaigns and deliver comprehensive test read outs to power accurate decisions

3. Understanding the broad range of Paytm data resources, and knowing the right ones to use for the analytical problems at hand

4. Evangelizing data driven decision making within the team and to business & product owners

5. Identifying data needs and driving data quality improvement projects.

Technical Requirements:

1. Proficient in SQL/Hive and deep expertise in building scalable business reporting solutions

2. Past experience in optimizing business strategy, product or process using data & analytics

3. Working knowledge in at least one programming language like Scala, Java or Python

Qualifications:

1. Bachelors degree or higher in engineering, statistics, mathematics, economics, business or a similar quantitative field. Master’s in these fields preferred

2. 2 to 6 years of work experience in a business intelligence and analytics role in financial services, ecommerce, consulting or technology domain

3. Demonstrated ability to directly partner with business owners to understand product requirements

4. Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills

5. Prior success in working with extremely large datasets using big data technologies

6. Detail-oriented, with an aptitude for solving unstructured problems