Data Analyst (Middle/Senior)

💡Hi! I`m Olia, HR at Ennabl. I`m looking for a Data Analyst (middle/senior).

🔆Company: Ennabl

📍Employment: full-time; remote

🌐Location: Cyprus. If you are outside of Cyprus, Ennabl helps and supports relocation (relocation is mandatory)

💰Salary: EUR 3,300-5,000 net/month

📩Contact: @OlgaBykanova (https://t.me/OlgaBykanova)
 

⚡️We are a product fintech startup with a headquarters in the USA and a diverse team with 45+ people (Russia, USA, Ireland, Georgia, Cyprus, Kyrgyzstan, Serbia, India, Spain). We are developing analytical B2B product for US insurance brokers. We collect their data, enrich it, and then provide analytical tools and recommendations.

🔥What we can offer:

- People are our main asset, we value our employees. We get together online and offline (cafe, games, team-buildings in different countries). This is a truly amazing team, I work here full-time as well :)

- Every employee is granted company's shares (equity)

- We use modern technologies and don`t have legacy

- English language courses

- Equipment for work (MacBook Pro, etc)

🛠 Stack we use:

- databases (PostgreSQL, Oracle, MySQL); programming (SQL, Python, DAX); visualization (Power BI, Tableau); Amazon (AWS, S3)
 

⚙️Job responsibilities:

- Explore, collect, organize, and analyze large data sets to provide actionable insights

- Dive into customers’ management systems to create tailored engineering solutions

- Validate and rectify clients’ data to help them produce clean, reliable datasets

- Translate customers’ business requirements into actionable items

- Structure and “clean” data by reviewing reports and performance indicators to correct code problems

- Create custom reports and data solutions to help our clients grow

📌Requirements:

- 3+ years of relevant experience

- Strong communication and analytical skills for effective client interaction

- Proficiency in SQL, reporting packages, databases (PostgreSQL, Oracle, MySQL, etc.)   

- Experience with ETL pipelines, data models, database design, data mining and segmentation techniques

- English (B2+)