Data Analyst

We're thrilled that you're considering a career at Kindly! Here's everything you need to know about this job. 🥳

Help our colleagues and customers to understand and utilise our data to it's full potential

Build a fast and reliable analytics dashbords for our customers and internal usage

Have a full personal and conversational chatbot experience for all users

Double the amount of feedback from end users

Keep our position as the most user friendly Chat widget and Chatbot platform

Be seen as one of the best analytics and insights tools among our chatbot competitors

Reduce time spent on building bots by 60%

No tracking of hours (we believe in great work and trust)

Small team (16-20) with high output

Multiple deploys each day

1-2 valuable features every week

Freedom and time to improve and ideate 

Kindly is a growing SaaS company of 60+ employees, working out of Oslo, Stockholm, and Copenhagen. Our chatbot platform helps big businesses and organizations around the world to automate and deliver world-class customer service. We leverage AI, GPT and machine learning to build the world's most loved chatbot. We have over 140 incredible clients that include Elkjøp Nordic, Kahoot!, Voi, Norwegian and Happy Socks – just to name a few. Our tech reaches over one million users every month and we handle thousands of messages every hour.

🌟 What you will do:

As a Data Analyst on the Product team, your job will be to:

Optimise queries for performance

Build new dashboards in our product

Work with customers and other departments to figure out what data is needed and how to best display it

3-5+ years experience 

Proficient in SQL

Experience with data warehouse solutions

Building and visualizing data in a user-friendly way

Experience in optimizing queries for better performance

A critical thinker who finds new solutions and solves problems 

Option to buy stocks at a discount

Modern offices at Grünerløkka, Oslo

All devs and designers are located in Oslo

Social stuff (parties, morning sauna, Friday beers, ping pong table, good vibes)

Flexible work hours and location

2-day bi-monthly Hackathon during work hours

Personal development hours during work hours (10 hours /month)

More to tell, but let's do that if you find this interesting.