Head of BI & Analytics

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Smarter Apps

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

👥 B2C

⚡ Productivity

Artificial Intelligence • B2C • Productivity

Smarter Apps is a mobile-first consumer app company that builds AI-powered utility and lifestyle applications focused on simplicity and human-centered design. The company’s portfolio includes productivity and utility apps such as ScannerKit (AI document scanning and upload), CaptureQR (QR capture/decoding), and SmarterChat (AI-driven text structuring), alongside lifestyle and wellness apps like WorkoutBuddy (habit-based fitness), Plantena (plant identification and care), and BiteWisely (AI food scanning and health insights). Smarter Apps emphasizes intuitive UX, modern AI capabilities, accessibility, and delivering reliable, affordable solutions that make everyday tasks easier.

📋 Description

• Build and own the architecture for self-serve and automated insight delivery — from data pipelines to dashboards, alerts, and agents. • Create scalable and reusable dashboards to support forecasting, marketing performance, LTV analysis, product pricing, investment decisions, and KPI reporting. • Develop data tools and intelligent agents that unlock self-serve access to core company metrics across business units. • Translate ambiguous business needs into technical solutions that are resilient, extensible, and intuitive. • Define and enforce data quality standards, governance best practices, and documentation. • Define and standardize product analytics events in collaboration with Product and Engineering (e.g., onboarding steps, feature usage, paywall views.) • Own instrumentation frameworks to ensure all shipped features have measurement plans at launch. • Support A/B testing infrastructure, including experiment design, logging strategy, and outcome analysis to product trials, paywalls, and onboarding flows. • Develop LTV attribution by feature exposure, enabling teams to understand the revenue impact of new launches. • Track and analyze user funnels (e.g., D0-D3 onboarding, trial to conversion, subscription retention) across products to identify drop-offs and optimization opportunities. • Automate impact reporting (e.g., “Feature X led to +6% retention lift among power users”). • Build blended dashboards that unify product, marketing, and monetization metrics in a single view (e.g., how usage ties to ROAS, how features affect CAC payback).

🎯 Requirements

• Experience in the subscription revenue mobile applications ecosystem • Have 6+ years of experience in Analytics Engineering, BI Development. • Have deep experience with BI tools like Tableau, Looker, or equivalent (e.g. designing scalable semantic layers and metric definitions). • Understand marketing, financial, product and operational metrics deeply and have worked closely with Marketing and Product teams. • Communicate clearly with both technical and non-technical stakeholders, translating insight into impact. • Experience with event tracking platforms like Amplitude, Singular or Firebase Analytics • Familiarity with mobile UX and in-app purchase behavior, especially around onboarding and pricing models. • Understanding of product experimentation methodologies, including statistical significance, cohort analysis, and false positives. • Comfort collaborations with PMs, designers, and engineers to build analytics into the product development process from day one. • Experience working in high-velocity product environments, where features ship weekly and date guides iteration.

🏖️ Benefits

• Competitive salary and bonus structure. • Comprehensive benefits package, including health, dental, and vision insurance. • Professional development opportunities and career growth. • A collaborative, international, fully remote work environment.