Position: Senior Analytics Engineer
Company: Railsware
Category: Data Analyst
Experience required: 5y
English level: upper
Published: 2023-07-01T00:00:00+03:00

We're looking for an Analytics Engineer with strong Python and SQL skills for our data consultancy projects and internal products. You will be responsible for building reports, data pipelines, building integrations using APIs, and, most importantly, helping with decision-making based on the data you provide.

**Our Stack:**
Python, SQL, Google Cloud, AWS, Data Studio, Power BI, Terraform, GitHub

**What you will work on:**
🔹 Helping our products and clients to build sustainable DWH
🔹 Building dashboards with our main metrics per product
🔹 Setting up ETL processes to automate data collection and reporting
🔹 Building product analytics notifications about sales, MRR, retention rate, and churn metrics
🔹 Helping our product and marketing team find insights and make data-driven decisions

**Your skills:**
🔸 4+ years of experience working with data on a wide range of contexts
🔸 Extensive knowledge of SQL and Python
🔸 Ability to deep dive into data and analyze users behavior and reasons behind it
🔸 Experience in data infrastructure organization, monitoring, and maintenance: managing ETL processes, writing tests for data analytics code, and monitoring data consistency
🔸 Experience with cloud-based data warehouses (e.g., BigQuery, Redshift)
🔸 Data visualization experience using Data Studio/Tableau/Power BI or any other tool
🔸 Fluent verbal and written English
🔸 Good team collaboration skills
🔸 Attention to details – you always provide accurate results
🔸 Ownership skill – you take responsibility and care for the whole project results
🔸 Learning on the fly to bring up-to-date technologies and approaches to your work

**Would be a plus:**
🔸 Engineering background
🔸 Git Flow and GitHub usage
🔸 Business acumen to define needs for analysis and why it can be beneficial for a product
🔸 Good presentation skills to convince decision-makers that your numbers and conclusions make sense