Analytics Engineer in Sublime

About the project:

Join our close-knit team in revolutionizing how Direct-to-Consumer companies use data. As an Analytics Engineer, you'll be instrumental in developing and maintaining SQL queries, creating custom reports, and utilizing advanced tools to deliver clear, actionable insights. Help us empower clients by simplifying data processes and fostering data-driven decisions, ultimately boosting their growth and success.

We would like to offer you:

• Exposure to the forefront of analytics and data engineering technologies.
• A vibrant startup atmosphere paired with a commitment to work-life balance, avoiding the all-too-common startup burnout.
• 12 000 - 16 000 zł salary (B2B), based on experience, with other forms of contract available
• A hybrid working model and flexible hours to accommodate your personal and professional life.
• A 6-hour workday to promote efficiency and well-being.
• A close-knit team environment free from bureaucracy, where your contributions are valued and your voice is heard.

About us:

We’re a Warsaw-based team building an analytics platform that is powering top Direct-to-Consumer companies in Poland and US. At the heart of our mission is a simple belief: data work should empower, not hinder, the growth of consumer brands.

We simplify the complex processes of data collection, cleaning, and visualization, offering our clients a crystal-clear view of their operations to foster informed, data-driven decisions. As one of our clients beautifully put it, "Where I think you really stand out personally is the answering of questions that management needs answers to but have no idea how to answer them".

Having launched recently and witnessed rapid growth, we're now a trusted partner for leading brands such as YourKaya, Maczfit, PsiBufet, Kyte and many others. We transform data into decisions, aiding companies in saving time, boosting profits, and building stronger brands.

Our Commitment

We're dedicated to creating an inclusive and supportive workplace, where everyone can thrive and feel valued. We regularly organise training sessions on stress management, psychology, and related areas to support our team's mental and emotional well-being.

We strongly encourage applications from women, underrepresented minorities, and anyone who believes they can bring a unique perspective to our team. Join us in shaping the future of consumer brands with data-driven decisions.

We're looking for Someone who has:

• Between 2-4 years of professional experience in using SQL for data insights. 
• At least 1 year of professional experience with any of the following visualization platforms: Microsoft Power Bi, Looker, Tableau, Mode, Superset or similar
• Strong analytical thinking and logical reasoning abilities. 
• Excellent communication skills with the knack for demystifying technical concepts for business stakeholders. 
• Passion for exploring data and uncovering hidden truths. 
• Proficiency in Polish and English. 

Bonus points for:

• Experience with Google BigQuery, Snowflake or similar cloud data warehouse. 
• Familiarity with dbt, Git and Visual Studio Code. 
• Knowledge of web/app tracking architecture (e.g., cookies, pixels, utm tagging). 

About the project:

Join our close-knit team in revolutionizing how Direct-to-Consumer companies use data. As an Analytics Engineer, you'll be instrumental in developing and maintaining SQL queries, creating custom reports, and utilizing advanced tools to deliver clear, actionable insights. Help us empower clients by simplifying data processes and fostering data-driven decisions, ultimately boosting their growth and success.

We would like to offer you:

• Exposure to the forefront of analytics and data engineering technologies.
• A vibrant startup atmosphere paired with a commitment to work-life balance, avoiding the all-too-common startup burnout.
• 12 000 - 16 000 zł salary (B2B), based on experience, with other forms of contract available
• A hybrid working model and flexible hours to accommodate your personal and professional life.
• A 6-hour workday to promote efficiency and well-being.
• A close-knit team environment free from bureaucracy, where your contributions are valued and your voice is heard.

About us:

We’re a Warsaw-based team building an analytics platform that is powering top Direct-to-Consumer companies in Poland and US. At the heart of our mission is a simple belief: data work should empower, not hinder, the growth of consumer brands.

We simplify the complex processes of data collection, cleaning, and visualization, offering our clients a crystal-clear view of their operations to foster informed, data-driven decisions. As one of our clients beautifully put it, "Where I think you really stand out personally is the answering of questions that management needs answers to but have no idea how to answer them".

Having launched recently and witnessed rapid growth, we're now a trusted partner for leading brands such as YourKaya, Maczfit, PsiBufet, Kyte and many others. We transform data into decisions, aiding companies in saving time, boosting profits, and building stronger brands.

Our Commitment

We're dedicated to creating an inclusive and supportive workplace, where everyone can thrive and feel valued. We regularly organise training sessions on stress management, psychology, and related areas to support our team's mental and emotional well-being.

We strongly encourage applications from women, underrepresented minorities, and anyone who believes they can bring a unique perspective to our team. Join us in shaping the future of consumer brands with data-driven decisions.

,[Develop and maintain SQL queries in order to clean, transform and model e-commerce data , Leverage our analytics platform to build visualisations and custom reports with the aim to find actionable insights for our clients , Operate on cutting-edge analytics tools that include: DBT, Apache Airflow, Google BigQuery, Apache Superset , Deliverdata insights and recommendations based on an in-depth understanding of e-commerce data and business models. ] Вимоги: SQL, Data visualization, Analytical skills, Communication skills, Google BigQuery, Git, dbt, Visual Studio, Apache Airflow, Data engineering, Python Інструменти: Jira, GitLab, GIT, Agile, Scrum. Бонуси та переваги: Integration events, Flat structure, Small teams, Free coffee, Bike parking, Shower, In-house trainings, Startup atmosphere, Modern office.