Middle/Senior Business Intelligence Analyst

Posted 3 Days Ago
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Hiring Remotely in Warsaw, Warszawa, Mazowieckie, POL
In-Office or Remote
Senior level
AdTech
The Role
Support commercial and leadership decision-making through KPI management, forecasting, profitability analysis, customer lifecycle analytics, cohort and funnel analysis, and performance reporting. Partner with Demand, Finance, Product, Sales, and Data teams to evaluate initiatives, optimize acquisition and rewards programs, standardize metrics, and identify growth, retention, and monetization opportunities across global markets.
Summary Generated by Built In
Job Description
MGID is a global native advertising platform that helps brands reach unique local audiences at scale. At MGID, we empower brands and publishers to collaborate transparently through our privacy-first targeting technology. This enables advertisers to drive performance and awareness while allowing publishers to retain and monetize their audiences. Today, we’re creating innovative technologies, and with your help, we aim to reach even greater heights.
We are looking for a Senior Commercial Business Analyst to help the organization make smarter, faster, and more data-driven decisions. This is a high-impact role at the intersection of BI and commercial strategy, partnering closely with Demand and Finance teams, and senior leadership. You will drive performance through KPI management, forecasting, and profitability analysis, while translating data into actionable insights.
Requirements
Who you are:
Technical & Analytical Skills:
* 5+ years of experience in Business Intelligence, Business Analytics, or a similar analytical role.
* Advanced SQL skills, including working with complex datasets and writing efficient analytical queries.
* Strong experience with BI and data visualization tools such as Tableau, Power BI, or similar.
* Good understanding of data modeling, data quality, and metric consistency.
* Proficiency in Python for data analysis, automation, and working with complex datasets.
* Solid understanding of applied statistics and quantitative methods, with the ability to use them in business analysis, forecasting, and decision-making.
* Experience with analytical methodologies such as cohort analysis, segmentation, funnel analysis, and KPI development.
Business & Problem-Solving Skills:
* Strong business acumen and ability to connect analytical findings with financial and operational outcomes.
* Ability to independently structure ambiguous problems, develop hypotheses, and recommend data-driven solutions.
* Excellent communication and data storytelling skills, including presenting findings to senior stakeholders.
* Proactive, curious, and ownership-driven mindset, with the confidence to challenge existing assumptions.
Nice to have:
* Experience in AdTech, digital advertising, marketplaces, or other platform-based businesses.
* Understanding of two-sided marketplace dynamics, monetization efficiency, and unit economics.
* Experience with advanced econometric techniques, causal inference, experimentation, or machine learning.
* Experience developing financial models or supporting regional P&L management.
* Practical use of AI-powered tools to accelerate analysis and improve productivity.
Languages proficiency:
* Ukrainian - Fluent (nice to have)
* English - Advanced
What You’ll Do:
* Support the Commercial team with data-driven decision-making by delivering actionable insights and performance analysis.
* Review, optimize, and drive client acquisition and rewards programs across both supply and demand sides of the business.
* Analyze product usage, customer behavior, acquisition funnels, and client lifecycle data to identify opportunities for growth, retention, and monetization.
* Partner with Product, Data, Sales, and Finance teams to evaluate how product initiatives and new features influence commercial performance.
* Conduct cohort, segmentation, funnel, and performance analysis to uncover business drivers and support product and commercial decisions.
* Introduce and standardize methodologies for client referral programs to ensure consistency and measurable impact.
* Analyze the customer acquisition journey and implement a unified client lifecycle framework and common business definitions across the organization.
* Support the development, review, and company-wide rollout of key performance indicators.
* Provide sales projections and commercial performance analysis across global markets.
* Prepare quarterly sales forecasts as part of the regular business planning cycle.
* Define and implement the necessary metrics to evaluate commercial performance and monitor strategic initiatives.
* Forecast, assess, and track the performance of new projects and individual campaigns led by commercial teams.
At MGID, we thrive on innovation, collaboration, and a passion for AdTech. Our culture is built on openness, transparency, and a shared drive for excellence. We empower our teams to take bold steps, embrace challenges, and grow together in a dynamic, people-first environment. Here, your ideas matter, your contributions are valued, and your potential has no limits. Join us and shape the future of digital advertising!
By submitting your application, you confirm that you have read and understand the and understand that your personal data will be processed for recruitment purposes as part of this application.
You have the right to access, rectify, or erase your data, as well as to object to its processing.
We want you to be in control of your personal data. You can or from our database.

Skills Required

  • 5+ years of experience in Business Intelligence, Business Analytics, or a similar analytical role
  • Advanced SQL skills, including complex datasets and efficient analytical queries
  • Experience with BI and data visualization tools such as Tableau or Power BI
  • Understanding of data modeling, data quality, and metric consistency
  • Proficiency in Python for data analysis and automation
  • Understanding of applied statistics and quantitative methods
  • Experience with cohort analysis, segmentation, funnel analysis, and KPI development
  • Strong business acumen and ability to connect analysis with financial and operational outcomes
  • Ability to structure ambiguous problems and recommend data-driven solutions
  • Excellent communication and data storytelling skills
  • Ukrainian fluency
  • Advanced English proficiency
  • Experience in AdTech, digital advertising, marketplaces, or platform-based businesses
  • Understanding of two-sided marketplace dynamics, monetization efficiency, and unit economics
  • Experience with econometrics, causal inference, experimentation, or machine learning
  • Experience developing financial models or supporting regional P&L management
  • Practical use of AI-powered tools for analysis and productivity
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The Company
HQ: Los Angeles, CA
Year Founded: 2008

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