Analytics Manager

Hevo is a simple, intuitive, and powerful No-code Data Pipeline platform that enables companies to consolidate data from multiple software for faster analytics. 

Hevo powers data analytics for 2000+ data-driven companies across multiple industry verticals including Deliverr, Neo4J, Groww, Marqeta, and Betway. By automating complex data integration tasks, Hevo allows data teams to focus on deriving groundbreaking insights and driving their businesses forward.

Hevo’s mission is simple, but bold: Build technology from India, for the world that is simple to adopt and easy to access so that everyone can unlock the potential of data.

Based in San Francisco and Bangalore, Hevo has seen exponential growth since its inception. The team has grown by 3X and the customer base has expanded by a staggering 20X in just the last two years. 

With a total funding of $42 Mil from Sequoia India, Qualgro, and Chiratae Ventures, Hevo is now entering a new phase of hyper-growth. 

Hevoites are a bunch of thoughtful, helpful problem solvers, who are obsessed with making a difference in the lives of their customers, colleagues and their own individual trajectory. 

If you are someone who is passionate about redefining the future of technology, then Hevo is the place for you.

Partner with the function heads across Product, Sales, Marketing, Support and Strategy to understand the key business drivers

Define the right KPIs and metrics to track across the organization. Build processes to make them readily and reliably available to everyone

Lead complex deep-dive into business metrics, identify bottlenecks and growth triggers. Make recommendations to the business heads on the next course of action

Work with the data analysts to build and maintain powerful dashboards that empower stakeholders to make data-informed decisions in real time

Nurture a team of highly skilled analysts by building strong frameworks for 1:1 coaching, performance management, and individual development plan

Create a hiring roadmap and own hiring targets to scale the analytics team as business needs grow

Strengthen the internal data architecture by working with data engineers to ensure comprehensive and reliable data is available for analysis

Optimize analytics processes to improve the effectiveness of reporting - make key data sets easily available, reduce rework, improve turn around time and quality of insights drawn

Set up a prioritization framework to balance competing analytics requests from different departments