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Data Analyst Product · Oslo · Hybrid

Kindly.ai



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

🌟 What we want your help with:

  • 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

🌟 Some of our goals for the next months and years

  • 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%

🌟 Where we might stand out:

  • 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

🟢 About Kindly:
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

🌟 Who we think you are:

  • 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

🌟 It’s a bonus if you have experience with:

  • Any programming language like Python, Node, Javascript etc.

🌟 What we offer that might be more normal, but good to know:

  • 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.

Department Product Locations Oslo Remote status Hybrid

Contact Kevin Vaseghi Chief Operating Officer – Management

Colleagues

Gjermund Norderhaug

VP Product

Oslo
Workplace & culture
We are very happy that our company is being built by fun, down-to-earth, hardworking, and talented people.

The Kindly team is curious, engaged, and interested in our craft. We are easy-going, appreciate and enjoy a good working atmosphere, and like to have fun at work. 🥳

About Kindly
Kindly is a tech company specializing in the development of artificial intelligence and automation solutions for customer service and communication. The company offers a platform that combines advanced machine learning techniques and natural language processing (NLP) to enhance the customer experience and improve the efficiency of customer service processes. 🟢

It is one of Europe’s leading chatbot providers with offices in Stockholm, Copenhagen, Amsterdam and its headquarters in Oslo. What sets Kindly apart and is appreciated by its customers is its user-friendliness, efficient maintenance work, and dedicated customer support. 💬

Among its customers are Booking.com, Tele2, Norwegian Air, Voi, Hertz, TV4, and Kahoot!.🤝

Founded in 2016

Coworkers 60+

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Kindly.ai

Trondheimsveien 2, bygg N,, NO-0560 Oslo

Kindly is a ubiquitous conversational commerce technology that companies can use in any way, shape, or form across website experiences.


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