Job Title: Lead Business Insights Job

Salary Package: 30,000 – 40,000 a month

Work Exp: 0 – 3 years

Company Name: Whatsapp

Job Location: Work From Home

Qualification Require: Any Graduate

Language: English/Hindi

Job Info –

Lead, Business Insights, WhatsApp Payments Responsibilities

• Conceptualize and implement the data analytics framework for new features like payments

• Identify key business input and output metrics to grow and manage the health of customer portfolio

• Build/maintain reports, dashboards, and metrics that equips the organization to scale their product offerings successfully

• Design, build, and launch efficient & reliable data pipelines

• Engage in discussions to identify problems, quantify and improve the quality of workflows through data analysis

• Run SQL queries, provide reports or updates

• Build data expertise and own data quality and documentation for allocated areas of ownership

• Provide technical supports to maintain existing data processes and code reviews

• Mentor others as needed on best practices for design and implementation of data infrastructure

• Work with cross-functional teams including partnerships, business, product and consumer marketing, data science and data engineering to understand data needs and create efficient and scalable data solutions and documentation

• Build and manage a team of data analysts

Minimum Qualifications

• BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field

• 10+ years experience building data reporting and using SQL

• Experience with AWS and ETL

• Experience with troubleshooting data pipeline/ warehouse related issues

• Experience with analysing data to identify deliverables, gaps and inconsistencies

• Experience with identifying and communicating data driven insights

• Experience with prioritizing among conflicting demands

• Experience using Tableau or any other Visualization/ Reporting Building tool

Preferred Qualifications

• Experience using languages and packages such as Python, R, MATLAB, SPSS, SAS, Stata, etc

• Experience with large data sets and distributed computing (Hive/Hadoop)