Careers > (Senior) Data Analyst (m/f/d)
Last modified 2/10/2023 11:50:09 AM

(Senior) Data Analyst (m/f/d)

Permanent Contract
Berlin, Bangalore, Remote
4+ years experience

(Important Note: We are ONLY looking for candidates who have previous experience in the adtech industry)

Hello ๐Ÿ‘‹ I am Puneet, Co-Founder and CPO of Kayzen, and I am now looking for a Data Analyst who will be reporting directly to me and working very closely with our DA Team (e.g. Mauricio, Cagatay) in our Data Analytic topics ๐Ÿ™Œ

But wait, you have not heard of Kayzen before? ๐Ÿ˜ƒ 

In short, Kayzen is a B2B SaaS platform that allows companies to reach users with video and rich media ads while they use mobile apps. 
We are a 65-people international team, working flexibly across 8 different countries:
Also, we take pride in building the best platform to help mobile marketers reach new target audiences in apps. Our ambition is nothing less than to become a global category leader in our market.

What this DA role is NOT about

  • This is NOT a typical BI role, in which you are just expected to receive requirements and build dashboards.
  • This is NOT a campaign management role, where you are only responsible for operational campaign optimization.

So what this DA role is actually about

  • At Kayzen, the Data Analyst role is investigative. We love curious people being capable to ask smart questions and to figure them out.
  • You will be part of the bigger Data Team consisting of Data Analysts, Data Scientists and Machine Learning Engineers.
  • Your primary focus will be on building analytics and product features on top of ~10 TB of data that we store every single day across various data centres. 
  • You will be in an important role in deriving valuable insights to both our business teams and customers, by applying state-of-the-art descriptive, prescriptive and predictive analytics.

Can you ask and answer the right questionsโ€ฆโ€ฆ?

  • By collaborating with members from various teams within and outside of the Data Team (e.g. Customer Success, Engineering, Product Management)
  • By understanding the complex Programmatic Advertising ecosystem
  • By analyzing several Terabytes of structured data generated per day and identifying patterns to derive business recommendations
  • By working across a variety of problems, including model feature engineering, AB testing, fraud detection, ad optimization, budget allocation, etc
  • By exploring new data sources and enhancing Kayzenโ€™s algorithmic and human capabilities
  • By presenting and defending your findings to a wide variety of audiences within the company

Have you been using such tech stacks?

  • SQL (advanced)
  • Python (intermediate)
  • Business Intelligence tools: e.g. Redash, Metabase, Tableau, Looker, etc
  • (Big Plus) - Big Data technologies: Spark, HDFS, Hive, etc 
  • (Big Plus) - Git and Airflow

All in all - Why Kayzen? 

  • We genuinely see encouraging ownership of your quality work, accelerating your career development, and keeping+hiring exceptional colleagues as the biggest perks (above everything else)
  • ๐Ÿ’ฐWe are already profitable. So you can expect stability from the company financially, and you can enjoy the thrill of working in a start-up environment at the same time.
  • Our work is driven by our own team, rather than external parties (e.g. Often start-up/scale-up companies can be heavily influenced by external parties, such as venture investors who are not deeply into the business.)
  • Transparency - Day-to-day work experience with the management team and regular business updates to the team
  • ๐Ÿ˜ƒOur Kayzenians - For instance, we did a global week of workation offsite in 2022. Check out how we were having fun here. Perhaps we will see you in the next offsite as well?๐ŸŒด 

Other benefits for every Kayzenian globally 

  • Competitive compensation package
  • Parent-friendly company culture
  • Remote-friendly company culture
  • $500 home-office-equipment budget
  • $1000 annual learning and development budget


Our team genuinely believes high-performance outcomes are achieved through hiring top talent and creating a productive and healthy work culture.
๐Ÿค— Hopefully the above excites you enough to apply ๐Ÿค—


 P.S. Not sure whether you should apply as you think you may not meet all the above criteria? 

  • As long as you have previous experience in adtech, then you can apply for the role first ๐Ÿ™‚ 
  • We encourage you to apply even if you meet only some of the points in the job description. 
  • Then, we could have a chat and see if you could be suitable for the role. 
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