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Batch
5 months
Saas and Tech
USA
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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
Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding
Decision-making was hindered by manual reporting and delayed access to insights
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.
● How can we unify multiple datasets into a single, trusted environment?
● What platform offers scalability and real-time access to analytics?
● How can we deliver intuitive dashboards tailored for stakeholders?
● Can we automate current manual reporting processes?
Centralized Architecture for Scalable, Cross-Functional Analytics
To overcome fragmented reporting and enable data-driven decision-making, we consolidated multiple data sources—including finance, marketing, and operations—into a unified BigQuery warehouse. SQL-based transformations were used to harmonize and cleanse data across business units, ensuring consistent, high-quality inputs.
Automated dashboards were built in Looker Studio to serve real-time insights to various stakeholders, from executives to analysts.
Additionally, we developed modular analytics layers to support both exploratory data analysis and routine operational reporting, creating a flexible foundation that scales with the business and empowers self-service access without over-reliance on engineering teams.
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reduced data processing time, accelerating analytics cycles.
hours per week eliminated from manual reporting via automation.
boost in operational efficiency through streamlined data access.
faster decision-making enabled by real-time key metric visibility.
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML
Reviewed on
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML.
Reviewed on
Address
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
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