Digital Data Analyst, AI
Lisbon, Portugal
há 4 dias
source : Just Join IT

Bayesian statistics (nice to have)

Firebase (regular)

Google Analytics (regular)

digital analysis (regular)

SQL (regular)

The AI Services department represents a major investment toward the vision of implementing an AI-powered Predictive Intervention platform.

The platform will enable every student to receive tailored recommendations satisfying their current and future educational needs, and provide successful and specific learning paths.

In order to get there, we are building the fundamental pillars of our AI strategy by having dedicated teams owning different systems of our technology portfolio and in particular we are heavily investing in visual search technologies.


The Visual Search Systems team supports other search and production teams by providing computer vision capabilities to :

  • Improve and introduce new functionalities to classify images and extract visual information to improve retrieval precision and personalize the answering results
  • Leverage real-time mobile devices capabilities to provide a better answering experience
  • The ideal candidate for the Data Analyst role is an enthusiast of educational technologies with a background in data-driven decision systems and a blend of data wrangling, analytics, and statistics skillset .


  • You will cooperate with our Analytics Center of Excellence on your professional development having a well defined career path, building your professional development plan, having access to various learning resources, live trainings and growth opportunities
  • You will be part of our Brainly Data Analytics Community that enables you to learn from and share knowledge with all Data Analysts across Brainly
  • Participate in our Data Analytics Bootcamp , a structured onboarding experience that allows you to learn about our key metrics, data structures, tools, and more

  • Become an expert in a subject of available data : by building knowledge on how data is collected, what it represents, and how it can be used in ML projects .
  • Perform experiments, tests and data analysis with effective results visualizations and storytelling.
  • Regularly meet with the stakeholders and data analysts from other departments to thoroughly understand the business processes , correct data interpretations.
  • Work closely with product teams to gather information about needs and problems and propagate prepared ML solutions to improve the functionalities and user experience of the platform .
  • Prepare recommendations for data engineers and data scientists regarding data collection and data sampling for obtaining proper datasets for ML projects.
  • Measure the impact of ML features on company KPI’s .
  • Consult designs and results of A / B tests and other application-level testing strategies for ML-enabled features.
  • Ensure statistical and scientific rigor among the whole team.

  • 2+ years experience with data analysis
  • Experience with data wrangling and reporting
  • Experience with data visualization
  • Experience in the usage of numerical programming languages ( Python, R, or other ) to analyze data
  • Experience with digital analytics ( GA4, Firebase or other digital analytics tools)
  • Research skills gathering information from multiple sources
  • Analytical skills : drawing conclusions and recommendations from data
  • Demonstrates independent thinking when evaluating critical information to reach conclusions
  • A scientific mentality with an ability to ask the right questions, as well as answer them
  • Ability to convey complex analyses with the most efficient and intuitive visual interactions and data storytelling
  • Team player attitude and clear communications skills
  • Understanding and ability to create and analyze experiments design
  • Understanding and ability to apply descriptive and inferential statistics
  • Fluent in English

  • Experience with predictive analytics
  • Experience with AWS analytics services (Redshift, Athena, QuickSight, SageMaker)
  • Understanding and ability to apply Bayesian statistics
  • Bachelor’s degree or above in STEM fields (science, technology, engineering, or mathematics) or a similarly quantitative field (like economics, psychology, or sociology)

  • We want to see you grow along with us you will have 800$ per year for personal development, extra time for attending conferences and workshops, and unlimited access to an online learning platform (courses from Coursera, Udacity, Udemy, Harvard ManageMentor, and many others!)
  • Health is important, which is why at Brainly, we fully cover private health & dental care packages for you and your family and provide you with a sport card (Multisport Plus in Poland, Andjoy in Spain)
  • You will also get an access to online individual psychological consultations with professionals in English & Polish via the Mental Health Helpline
  • Flexible working hours working requires communication, so we work within the European business hours, but we also know that life may be unpredictable, so if you need to jump out of work (doctor’s appointment, emergency, anything) no problem!
  • Your personal concierge AskHenry will support you in your daily duties, eg. planning your dream vacation
  • We will provide you with all the necessary equipment & tools , including an additional budget for accessories which will make your remote setup even more comfortable.
  • You can join internal communities and contribute to charity, diversity and inclusion initiatives, take part in great internal events or represent Brainly at conferences or meet-ups.

    Brainly is the online learning platform where over 350 million students and parents go from questioning to understanding.

    With their smartphones, users can snap a photo to instantly solve any problem or homework question and be matched with a Brainly product such as Community Q&A, Brainly Tutor, Math Solver or Textbook Detective.

    Brainly is built to provide students, parents, experts, and teachers with a collaborative platform and tools needed to succeed in any educational environment.

    Based in Kraków, Poland, with U.S. headquarters in New York City, Brainly apps and websites are visited by users from over 35 countries.

    Backed by Prosus, Point Nine Capital, General Catalyst, Runa Capital, Learn Capital and Kulczyk Investments. Learn more about Brainly at .

    By sending us your application you agree that Brainly sp. z o.o. will process your personal data to participate in this recruitment process.

    If you want to know more about how Brainly processes your personal data please click here.

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