Data Analyst (Remote)

Remote   |   Full Time

We're looking for an experienced Data Analyst who'll gather data, understand problems, and make insightful reports based on stakeholders’ inputs and business goals.

About us

COING is a unicorn, product-based software company, with offices in California and Europe.

We are focused on creating products that are used by millions around the world. Some of our products include Clockify (time tracking app), Pumble (team chat app), and Plaky (project management app).

Clockify is the world's #1 time tracker, used by millions of people, from individuals to big companies like Hewlett-Packard Enterprise, American Express, Amazon, etc.


  • Play a leading role in making data-informed business solutions
  • Collaborate across teams to define key metrics, develop dashboards, track metric progress, investigate changes in metrics, and propose next steps
  • Develop churn prediction models, recommend customer products, and conduct user behavior analytics
  • Exemplify best practices for data management
  • Use data analysis to proactively address company and product problems and solutions with sometimes broad scopes and minimal specifications - the ability to drill down to the essential analytics insights is important
  • Fulfill requests for data and analysis coming from other teams while guiding them on which data to use and how to interpret it, automating solutions to be self-service where possible.
  • Provide clear and concise views into company and product data that enable everyone at Doodle to understand the data
  • Provide data-supported recommendations for company and product strategy
  • Help define success metrics and oversee product and marketing experiments


  • 5+ years of experience in a Data Analyst role, ideally in SaaS
  • Excellent SQL skills and experience in data visualisation (Tableau, Mode Analytics). Python visualization packages experience is a plus
  • Experience working with DBT is a must
  • Knowledge of database modeling, version control, testing, and continuous integration
  • Experience with Google Analytics and Google Tag Manager, or other event tracking platforms
  • Incredible communication skills and a customer-centric mentality
  • Self-starter, high energy, adaptable, inquisitive and excited to work in a startup environment
  • Ability to work independently, be proactive and think holistically
  • Fluency in English
  • Ability to work in CET timezone (9:00-17:00 UTC+1)
  • Fluent in Ex-Yu languages (Serbian, Bosnian, Croatian, Montenegrin)

Nice to have

  • Statistical programming experience (R, Python)
  • Working knowledge of GCP data engineering tools (PubSub, DataFlow, Cloud Functions)
  • Experience with working with large volumes of data and complex data models, and capability to investigate and master new data sets quickly

What we provide

  • Working in a product-based company with talented experts in the domain
  • Remote-first company (full remote, hybrid model, or onsite)
  • Flexible working hours 
  • Work-life balance (because your family and spare time matter)
  • A supportive, healthy, and transparent work culture that encourages innovation and growth
  • Private health insurance
  • Private dental insurance
  • In-house learning program (social/soft skills workshops, leadership training, tech lectures, knowledge sharing, and tech clubs)
  • Team-building activities, many small gatherings, and parties
  • Fresh fruits, soft drinks
  • Breakfast in office
  • Home office equipment: laptop, multiple screens, chair, and office supplies

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