MGID was founded in 2008 and is one of the leading companies in native advertising. We enable our media partners to monetize their audience and help brands to promote their services and goods effectively.
MGID offers a range of integrated solutions covering the promotion process every step of the way; we offer services ranging from planning out the marketing strategy to its thoughtful implementation and optimization. Our clients include major international brands like Renault, Domino’s, airbnb, PizzaHut, Qatar Airlines, and many others, including media organizations and web agencies.
— One of the largest MarTech-companies in the Ukrainian market;
— A proprietary Highload service that delivers 185 billion advertisements to 850 million unique users in more than 60 languages;
— The winner of multiple AdTech awards for innovation and product quality;
— A workforce of 700+ employees operating from offices in the US, Europe and Asia;— A passion for cutting-edge technologies and a seamless vertical structure that allows the regional teams to exchange skills and development practices.
Your main duties are:
— Apply data analysis or data modeling techniques to establish, modify or maintain complex data structures;
— Research, patterns identification, and formulating insights leadership team;
— Track the impact of all the new implementations that you have proposed by checking the daily metrics of the project;
— Take broad, open-ended questions and identify clear steps for how to break them down and develop data-driven answers;
— Help in designing, implementation, and analysis of new features aimed at improving our product.
You fit these requirements:
— 3+ years of work experience as a Data Analyst (experience in programmatic algorithms as a plus);
— Upper-intermediate or higher English level;
— Demonstrated experience in handling large data sets and relational databases;
— Have professional experience with Python (Pandas, NumPy);
— Experience with PySpark;
— Good data manipulation skills are required including cleaning and managing data;
— Basic knowledge of statistics;
— Ability to formulate product development hypotheses and lead a data-driven product management process.
It will be a plus:
— The ideal candidate holds a MSc or PhD in Engineering, Statistics, Mathematics, or related fields;
— Knowledge of R;
— Understanding of online advertising, RTB systems, know the difference between DSP, SSP, and DMP.
What we offer:
— A career in one of the most ambitious, high-potential adtech companies;
— Flexible work arrangements with an adaptive approach;
— Top compensation, premium benefits for your mental health and work life balance, educational and career development opportunities;
— Truly global experience with future business travel opportunities.