We are looking ideally for someone who has experience with e-commerce or digital marketing and has a keen interest in SaaS products. If you like connecting data together into powerful reports and are looking to challenge yourself inside a company that is equipped to deliver next-level solutions, keep reading.

What can you expect to work on

• Report creation mostly in Google Data Studio (you can start with the templates we already have done)
• Data onboarding of new customers
• Analysis of product marketing data
• Troubleshooting data consistency issues
• Cooperation with developers and designers with the goal of constant improvement of our product
• Supporting commercial and success teams in delivering world-class services

Benefits

🧗🏻 Multisport card and sporty colleagues who will join you in your activity 🧘🏻‍♀️🚴🏻‍♂️🏄🏻‍♂️

👩🏻‍🏫 Education budget

💰 Quarterly bonuses

🥂 Company and team events (if possible 😷)

🌴 25 days of holiday (bank holidays excluded)

Work culture

🏠 Flexible working hours and home office (even after pandemic)

📈 We lead you to have an impact and bring your own ideas.

🤝 Employees are partners. Managers are approachable (go Slack!), and our quarterly calls welcome all questions. The openness rocks.

🙋🏻 Startup culture. Even though we are growing and bringing up the necessary processes we still keep the free culture. We help each other and will support you. We take care of maintaining a friendly and supportive work culture

We are looking forward to hearing from you!

👍 Must-have

• Experience with e-commerce or digital marketing (e.g. PPC, e-shop admin)
• Great spreadsheet skills are a good starting point (Excel or Google sheets)
• Basic knowledge of BI tools like GDS, Tableau, Looker or Power BI (you know they exist or even better, you already worked in them)
• Ability to interpret data
• Independence and proactivity (do not worry, we are always here for you but we expect you will proactively look for solutions)
• English is our default language

Additional skills you can learn on the job

• SQL and Google BigQuery
• Working with fully automated data pipelines
• Use Facebook and Google marketing APIs
• Take care of large and advanced customers from around the world (there is no direct communication with them but if you will want to then you can get closer)
• Build a SaaS product and start your career as a Product Manager or Data analyst

The hiring process

• 1. Try our short homework
• 1. A video call with Erik and Denisa
• 1. Online meeting with a team
• 1. Get the offer

Duration from application to final answer is on average up to 3.5 weeks, depending on availability.

Any questions?
We acknowledge it’s tough to get to know you in only one intro call, that’s why we encourage you to be as open as possible.

Ask all your questions to denisa.mehesova@roihunter.com