Senior Data Analyst

At Ogury, we believe in taking care of our team members and providing a work environment that supports both professional growth and personal well-being.

While benefits may vary by location, here's a glimpse of what you can typically expect when you join our team:

- A competitive compensation package

- Comprehensive benefits coverage

- Meal voucher

- Holiday and leave allowance, in addition to national holidays

- A strong focus on the well-being of our team members, with access to both physical and mental health resources
- Flexible Working Model: At Ogury, we believe in the power of presence to fuel innovation. Our hybrid approach is centered on two core in-office collaboration days to drive team synergy, plus one additional office day of your choosing to support personal balance. This 3-day baseline ensures strong connection and real-time problem-solving, while allowing for flexibility across the rest of the week.

- And more

We thank you in advance for your interest in Ogury!

#LI-HP1 #LI-Hybrid

• Experience: 5+ years of experience in Data Analytics, Business Intelligence, or Analytics Engineering, ideally within an AdTech

• Data Modeling & dbt: Proven hands-on experience using dbt to develop, test, and deploy scalable data models in a cloud data warehouse (e.g., Snowflake, BigQuery, ClickHouse).

• SQL Mastery: Expert-level SQL skills, including writing highly optimized, complex queries and managing large-scale, clickstream, or transactional datasets.

• Scalable BI & Visualization: Advanced proficiency in building scalable, intuitive dashboards in modern BI tools (e.g.Omni, Tableau, Looker, Power BI) tailored for both internal product tracking and external client services.

• Data Governance Focus: Strong understanding of data quality frameworks, data governance principles, and version control (Git).

• Stakeholder Management: Exceptional communication skills with a track record of translating complex technical metrics into scalable solutions for product teams and business clients.

We are seeking a highly analytical and strategic Senior Data Analyst to specialize in our advertising platform reporting and analytics. In this role, you will bridge the gap between data and execution, supporting our Product and Client Services teams by building scalable, automated reporting solutions.

As a key member of our Global Analytics Team, you will look beyond daily reporting to champion data governance, data quality, and scalable data modeling. You will collaborate closely with Data Reporting and Platform Engineering teams, utilizing dbt to build robust, reliable data models that serve as the foundation for global business decisions.

• Build systems that scale - Design and own automated reporting solutions that serve the entire organization; move beyond ad-hoc analysis to engineer production-grade data models with dbt that become the trusted foundation for critical business decisions
• Work with a modern analytics stack - Partner with top-tier data infrastructure (Snowflake, BigQuery, ClickHouse) and best-in-class tools; solve complex optimization problems with large-scale clickstream and transactional datasets while championing data governance standards across a global team
• Drive impact across the business - Act as the analytical bridge between Product, Client Services, and Platform Engineering; translate your insights into tangible outcomes that optimize ad revenue, improve user experience, and directly influence how the platform evolves

• Ad Platform Reporting & Scalability: Design, develop, and scale automated dashboards and analytics solutions that provide deep insights into ad platform performance, campaign delivery, and user engagement for both Product and Client Services teams.

• Global Data Governance & Quality: Serve as a core member of the Global Analytics team, leading initiatives to define data standards, enforce data quality checks, and document data lineages to ensure a trusted, single source of truth.

• Data Modeling with dbt: Partner with Data Reporting and Platform teams to build, maintain, and optimize production-grade data models using dbt, ensuring efficient transformations and analytics-ready datasets.

• Cross-Functional Collaboration: Act as the analytical partner to Product Managers (to guide feature development) and Client Services (to provide scalable client-facing insights and automate ad-hoc requests).

• Advanced Analytics & Insights: Go beyond standard metrics to uncover trends, identify platform inefficiencies, and provide actionable recommendations that optimize ad revenue and user experience.