Data Analyst

3 tygodni temu

Gdansk, Polska RTB House Pełny etat

RTB House is a data driven company, where technology positions us as a leader in programmatic advertising. We work with thousands of clients in EMEA, APAC and the Americas. Our highly optimised system serves over 15M QPS generating petabytes of various data points.

We’re looking for an enthusiastic person to take a role of Data Analyst directly supporting our VP of Engineering and senior leadership team. If you’re excited about turning data into valuable insights, building data models and mining enormous datasets this role may be a great fit for you.

Objectives of this role
Create best-practice reports based on data mining, analysis, and visualisation
Develop, implement, and maintain analytics systems, solving problems thru lens of complex datasets and building simple frameworks
Together with our data and machine learning engineers, you will develop complex data processing pipelines in the cloud or on-premise
Work directly with CTO, VP eng, senior managers to gather requirements, build data models and various analysis
Evaluate internal systems for efficiency, problems, and inaccuracies, and suggest improvements to handling, processing, and cleaning data

Responsibilities
Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
Proactively analyse data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
Create and maintain visualisations through data interpretation and analysis, with reporting components from multiple data sources
Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
Develop and maintain datastores by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets

Required skills and qualifications
Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics
More than 3 years of proven practical experience mining data / data analysis as a data analyst
Very good knowledge of SQL and Python (or R)
Knowledge of Google BigQuery is definitely an advantage
Experience creating meaningful data visualisations and reports
Solid understanding of in fundamentals of statistics
Practical experience with creating data models and data exploration
Experience in dealing with data technologies from one of the major cloud providers
Confident demeanour and excellent communication skills

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