Batch is a customer engagement platform that helps brands deliver personalized mobile marketing campaigns through push notifications, in-app messaging, and analytics. By enabling real-time communication and behavioral targeting, Batch empowers businesses to improve user retention and drive mobile growth. The company supports marketers with scalable tools for campaign automation, audience segmentation, and actionable insights.
Unified backend architecture with
centralized data pipelines
Harmonized datasets across
finance, marketing, operations
Real-time dashboards with clear,
intuitive visualizations
Self-service analytics enabled
through Looker Studio
Data Engineer
SQL Developer / Data Analyst
Looker Studio Developer / BI Analyst
Data Governance & Quality Specialist
Part Time Contract
Inconsistent and disconnected datasets across business units
High time investment required for basic analytics
To support faster and more accurate decision-making, we needed to unify fragmented datasets from finance, marketing, and operations into a single, trusted environment. Automating manual reporting workflows was key to increasing efficiency and reducing delays. We prioritized selecting a scalable platform that could support real-time data access and flexible dashboarding. The goal was to deliver intuitive, stakeholder-specific analytics while ensuring data quality, governance, and long-term maintainability.
Centralized Architecture for Scalable, Cross-Functional Analytics
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