Analytics Engineer en hibrido.
Job Description
Hi there!
We are Semrush a global IT company developing our own product a platform for digital marketers. New stars are born here so don t miss your chance.
This is our role Analytics Engineer for those who want to turn ideas into reality and participate in improving Semrush s analytics tools.
Tasks in the role
- This role is focused on the creation maintenance and ongoing development of core data assets that serve as a single source of truth for core company metrics used in reporting data models and analysts work
- The person will support the global Metrics Definition initiative and focus on creating and managing a consistent system of main metrics (including Churn Retention MRRPPU etc.) their dimensions (e.g. Churn Reasons ...) and business entities (e.g. who is a Paid User) acting as a further owner of these metrics calculation logic.
Requirements
Who we are looking for
- Bachelors degree in STEM Economics Business Analysis or a related field is preferred
- Solid foundation in math and statistics.
- 2+ years of experience in data engineering data analysis data science or a related field
- High proficiency in SQL and relational databases
- Proficiency in Python for data manipulation
- Good analytical and problem-solving skills
- Good communication and interpersonal skills
- Familiarity with airflow dbt (and Jinja) git and cloud-based platforms (GCP)
- Experience in being responsible for complex multistep data pipelines or analytical projects including working with conceptual logical data modeling data schemas and ELT/ETL steps.
- English language proficiency at the Upper Intermediate level or higher
They say there are no perfect candidates but that might well be you if you have some of the following
- Proficiency in data visualization and BI (Tableau)
- Proficiency in airflow dbt (and Jinja) git and cloud-based platforms (GCP)
- Experience with bash
- Software engineering experience
- Experience with creating company-wide metrics calculation pipelines from the requirements gathering stage to maintenance in production
- Thoroughness meticulousness and nerdiness (in a good way )
A bit about the team
The Data Product Research team is a part of the Analytics Division. The team focuses on delivering analytical projects and products. The team achieves this by constructing scalable analytical solutions and models utilizing both heuristic and machine-learning approaches aimed at resolving business problems.
We will try to create all the right conditions for you to work and rest comfortably
- It s up to you to decide what work format works best for you. You can #wfo #wfh or mix both.
- Flexible working day start
- Unlimited PTO
- Hobby benefit
- Breakfast snacks and coffee at the office
- Corporate events
- Training courses conferences
- Gifts for employees
SQL, Python,
