Position: Marketing Operations Specialist & Data Researcher
Company: Radency
Experience required: 1y
English level: intermediate

Many young professionals seeing the word Marketing get confused and think it’s about creativity. This vacancy is not about that. It’s about: 

✔️ Technical skills. We strive for maximal automation and to achieve it you’ll research and set up lots of tools. As a candidate, you shouldn’t get frustrated when asked to: “set up webhooks to connect our CRM with Apollo” or “Configure remarketing with a link management tool”. You do not necessarily have to know how to do it already, but you for sure can figure it out quickly. 

✔️ Analytical skills. We’d expect you to be a problem solver and be able not only to collect data, but see patterns and draw conclusions based on it.  

✔️ Perseverance. Our ideal candidate is not afraid of tasks requiring extra attentiveness.  


👉 RESPONSIBILITIES:

**Marketing Operations part**
Set up and support dozens of tools we’ll use, e.g. sequences of automated drip campaigns, retargeting google ads campaigns, integrations with our CRM to reflect current status of leads, etc.  

**Data researcher part**
Conduct research to identify potential prospects. Analyze the information about leads and select those who’d match our ICP (ideal customer profile). Upload the leads to CRM. 


👉 WE OFFER

- An experienced and ambitious team
- Management support and mentorship (if required)
- A competitive compensation for your results
- 20 + 10 paid time off days a year and covered sick-leaves 
- Possibility to work remotely
- Covered conferences, master classes, certifications (you’ll have your own budget for educational expenses)
- Ability to grow within the company in revenue operations department or other spheres


👉 REQUIRED SKILLS

- Solid English 
- Getting along with technologies.
- Persistence, diligence and strong analytical skills. 
- Interest or experience in revenue operations (marketing and/or business development) would be a plus.