Help us get more data driven and organized
Products of our customers solve real problems:
🤕 save workers on power plants from losing fingers.
🛢 prevent oil spills.
🏭 reduce fuel consumption on facilities to reduce emissions.
We exist to multiply their impact.
Before our customers can do business, their products need to interface with internal systems of their customers, most commonly EAMs - Enterprise AssetManagement systems. Building EAM integrations is hard: one will cost $30k -$500k and take up to 18 months to complete. As integrations are a part of onboarding, they make sales process slow and products expensive, ultimately limiting number of companies that can benefit from them.
Makini builds infrastructure that eliminates the need for individual EAM integrations altogether, and enables connections across systems –all via one, simple API. We make onboardings low-touch and entry price-points low, helping our customers get their products into hands of a much larger number of companies, and do it fast.
We exist to multiply the impact of our customers and take pride in solving complex infrastructure problems to free them up and concentrate on creating value, not building integrations.
You will the be the one helping us achieve that mission. As our Data Analyst, you will help us make our decisions more data driven. You will work with stakeholders across
virtually every function to set the right metrics, build digital-first processes that will produce digital exhaust necessary to measure and visualize them. Ultimately you will
There are 100 things fighting for our time every day. We always keep the main thing main and optimize for impact.
We move fast, like to be scrappy and hack our way through unless we really have/want to be otherwise.
We often do things we've never done before. Expect to find yourself in a disorganized environment. We expect you to operationalize things once you see a pattern.
Things worth doing are rarely simple. We act out of ambition to build great products, not out of fear of facing challenges while building them.
We are unafraid to be wrong, back proposals we initially opposed, and like to support decisions with numbers and narrative.
Mediocre is not a viable compromise for us and are willing to work hard for it.