Data Analyst

About Plum
Plum is an employee insurance and health benefits platform focused on making health insurance simple, accessible and inclusive for modern organizations.
Healthcare in India is seeing a phenomenal shift with inflation in healthcare costs 3x that of general inflation. A majority of Indians are unable to afford health insurance on their own; and so as many as 600mn Indians will likely have to depend on employer-sponsored insurance.
Plum is on a mission to insure 10mn lives by 2025. Backed by leading global investors including Tiger Global, and Sequoia Capital, we help companies care better for their employees by providing.
About The Role
The Customer Success Team at Plum relies on a variety of data points to deliver a delightful user experience. This role is the gatekeeper of all numbers that enable delivering promised SLAs contributing to delivering a world class user experience for users.
Roles and Responsibilities:

• Implement data collection and reporting systems - create and own a repository of vertical and cross functional data
• Liaise with team members and leaders of the Customer Success team to share analysis in accordance with set KPIs
• 
  Interpret data, analyse results and build reports for weekly, monthly and quarterly reviews
• Understand how cross-functional teams can use data to build business efficiency
• Develop actionable insights by identifying trends - analyse reports, trigger alarms, influence change
• Own visualisation and presentation of OKR data
  

Experience and Qualifications:

• 1+ years of experience in in a data related role in an internet, SaaS or service company
• Experience using Google Suite and MS Office tools
• SQL and hands on experience with Metabase

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  Experience managing data from applications such as Zendesk, HubSpot, Intercom, etc
• Ability to use mathematical/statistical models to stitch transparent representation of trends
• Proven organisation and project management in an ambiguous environment
• Excellent communication and presentation skills
  

Good to have

• Bachelors/Masters in Maths, Stats or related discipline
• Ability to build real-time dashboards in analytics tools like Tableau, PowerBI, Metabase, etc
• Knowledge of SQL