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Director, Data Analytics



Data Science
Posted on Thursday, June 13, 2024



SALARY: 28 000 - 35 000 PLN gross/monthly


As a Director of Data Analytics, you will be responsible for the strategy and development of central reporting for company and departmental KPIs. You will be a partner to the C-suite & VP corps to lead the gathering of requirements, creation of product measurement frameworks, and delivery of product experimentation. You will serve as an internal consultant working closely with the CEO, CPO, and Finance team to guide strategic decision-making across the organization. You will also manage a team of Data Analysts focused on Business and Product Analytics.

Do you have excellent communication, analytical, decision making and problem-solving skills? Are you willing to take charge and provide direction? Do you have a self-driven and proactive approach? Are you highly passionate about data, with creative problem-solving abilities and an eye for detail? Are you able to adapt to rapidly changing conditions? Are you passionate about motivating, inspiring, and leading exceptional teams? Then the fit couldn’t be better!


  • Work with the newest technology stack (Google Analytics 360, Snowflake, Amplitude, Tableau, AWS, Google Cloud Platform) and scrum values

  • Be the lead of our Brainly Data Analytics Team covering various product and business domains

  • Make an impact in our product and business!


Strategic decision-making:

  • Participate in strategic decision-making alongside C-suite with data-driven insights, analysis, and weekly forecasts.

  • Track, benchmark, analyze, and develop strategic solutions to improve key business and financial metrics.

  • Partner with the executive & finance teams to lead the development of complex metrics-driven business models that incorporate product cause and effect to deliver a clear picture of feature change impact on the bottom line.

  • Support executive management in board and investor presentations, including support in M&A activities.

Data Team leadership and management:

  • Lead a team of Data Analysts to prioritize and manage the analytics deliverables to support the following areas: monitor product metrics, discover user needs, run diagnostics on metrics performance, A/B testing and delivery, GTM maintenance, data governance, and ad-hoc queries.

  • Supervise data teams in analyzing and segmenting historical data to provide management with actionable insights.

  • Foster a culture of continuous learning and development of analysts.

  • Create systems and standards to ensure the quality of the team's deliverables regarding platform and data effectiveness, trustworthiness, reliability, etc.

Analysis and reporting:

  • Lead deep analysis of user behavior in each product feature to draw insights that drive critical decision-making.

  • Manage the creation of executive dashboards for C-suite, VPs, and external partners.

  • Direct simulations for product-driven scenario planning.

Collaboration, coordination and tool management:

  • Collaborate with data engineering and infrastructure teams to support the migration of data to Snowflake.

  • Own an experimentation platform that includes managing vendor relationships, maintenance, reporting bugs, and researching and recommending different tools for experimentation.


  • 7+ years of experience in BI / Data Analysis covering both business and product analytics

  • 2+ years of experience managing a team

  • Proven experience in effective team leadership

  • Strong analytical foundation as an individual contributor and manager – expert command of data analytical tools

  • Understanding and adherence to the principles of data quality management, including metadata, lineage, and business definitions

  • Highly Experienced in SQL and Python

  • Proficient in product analytics platforms and self-service analytics tools

  • Highly experienced in data warehouses such as Redshift, Snowflake, Big Query, and data visualization tools such as Tableau

  • A/B testing/Experimentation design and execution

  • Product knowledge and key metrics

  • Exposure to investor relations


  • Tech industry experience

  • Working experience in SaaS

  • Experience working with large data sets

  • Analytics Engineering/ETL experience

  • GTM


  • 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, Busuu, 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

  • You will also get an access to online individual psychological consultations with professionals in English, Polish & Ukrainian via the Mental Health Helpline

  • Your personal concierge AskHenry will support you in your daily duties, eg. planning your dream vacation

  • 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

  • We also provide stock options

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.


Brainly is the #1 AI education tool in the world, with a vision to give every student in the world access to personalized learning, no matter their background or resources.

Brainly’s full-service AI Learning Companion™ is relied upon by more than 15 million daily users; students, parents and teachers for personalized, on-demand academic assistance. The platform provides world-class homework help, test prep and tutoring that is verified for accuracy and customized to each student based on their learning style.

Founded in 2009, Brainly operates in the US, Europe, Asia and Latin America, and is backed by Prosus, Point Nine Capital, General Catalyst, Runa Capital, Learn Capital and Kulczyk Investments.

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