Senior Data Analyst

About the Position:

This role, based within OneIngage’s Data Analytics team , is responsible for managing end-to-end measurement and data analytics processes across brands’ digital assets.

The main focus of the role is the setup of web and mobile measurement infrastructures, integration with marketing platforms, transforming collected data into meaningful insights, and reporting actionable results.

The Senior Data Analytics Specialist combines strong technical expertise with analytical thinking to help brands strengthen their data-driven decision-making culture.

Qualifications:

• Minimum 3 years of experience in digital measurement, data analysis, or a related field,
• Advanced knowledge of Google Analytics 4 and Google Tag Manager ,
• Hands-on experience with mobile measurement tools (e.g., Adjust, Appsflyer),
• Strong understanding of marketing platforms’ measurement ecosystems (e.g., Google Ads, Meta, TikTok),
• Proficiency in SQL and practical experience working with BigQuery ,
• Experience in data visualization and reporting using Looker Studio or similar BI tools,
• Familiarity with GCP (Google Cloud Platform) products,
• Ability to derive strategic insights from data and communicate them clearly and effectively.

Responsibilities:

• Design web and mobile measurement strategies, define event structures, and manage implementation and testing using tools such as GA4, GTM, Adjust , etc.,
• Manage measurement, data transfer, and pixel / CAPI / Events API integrations across marketing platforms ( Google Ads, Meta, TikTok, DV360 , etc.),
• Conduct audit and validation processes to ensure the accuracy and completeness of existing measurement infrastructures, identifying improvement opportunities,
• Perform data querying, cleaning, modeling, and analysis on BigQuery ,
• Generate actionable insights and performance outcomes from measurement data,
• Support clients’ ad-hoc reporting needs with timely and accurate data solutions,
• Design reports and dashboards (via Looker Studio, Supermetrics, Adverity , etc.) that contribute to data-informed decision-making,
• Contribute to advanced analysis and automation projects using GCP products,
• Play an active role in cross-functional projects by combining technical and analytical perspectives.