Analytics Lead

Cloaked is a privacy startup dedicated to rebuilding consumer trust in how personal data is used. Our vision is to create an internet that serves the needs of its users, first and foremost-with individual privacy and opt-in at the core. Our product is a virtual "cloak" that you use as you visit any website - Facebook, Amazon, etc. It lets you choose to share all, some, or none of your private information based on your personal preference.

$180,000 - $200,000 a year

The Role

We are seeking a Analytics Lead (IC) to serve as the analytical owner for high-impact business questions across the organization. This role sits at the intersection of data engineering, product, finance, and leadership, translating complex, privacy-sensitive data into clear insights, decision frameworks, and measurement systems.

Unlike traditional people-managing roles, this position is hands-on and execution-oriented. You will independently own analytical strategy, define metrics, design datasets, and deliver analyses that directly influence company-level decisions. You will operate within a privacy-first, high-compliance environment and partner closely with senior engineering and data leadership to ensure analytical outputs are trustworthy, explainable, and aligned with platform constraints.

What will you do?

Analytics Strategy & Ownership

* Own the end-to-end lifecycle of analytics initiatives, from problem framing and metric definition through analysis, interpretation, and executive communication.

* Define and maintain core business KPIs, analytical frameworks, and decision models used by leadership to evaluate product, growth, risk, and operational performance.

* Translate ambiguous business and product questions into well-scoped analytical approaches grounded in statistical rigor and data reality.

Cross-Functional Influence

* Act as a senior analytical thought partner to Product, Engineering, Finance, Compliance, and Leadership.

* Communicate complex findings clearly to non-technical stakeholders, balancing accuracy, nuance, and decisiveness.

* Influence prioritization and strategy through evidence, not authority.

Data Modeling & Enablement

* Partner with Data Engineering and Architecture to shape analytical data models, semantic layers, and curated datasets that enable reliable reporting and self-service analytics.

* Ensure analytical outputs are consistent with data governance, privacy, and compliance requirements, including strict handling of sensitive and regulated data.

* Contribute to data quality standards by identifying gaps, edge cases, and metric inconsistencies surfaced through analysis.

Advanced Analysis & Experimentation

* Conduct deep-dive analyses across user behavior, product performance, financial metrics, and operational signals.

* Design and evaluate experiments and quasi-experiments, selecting appropriate methodologies to isolate causal impact in noisy, real-world data.

* Apply statistical reasoning to interpret results, quantify uncertainty, and avoid false precision.

Analytics Infrastructure Stewardship

* Help shape best practices for analytics development, including documentation, metric definitions, version control, and review standards.

* Partner with engineering to improve analytics observability, including metric validation, anomaly detection, and trust signals for downstream consumers.

* Remain hands-on with tooling, queries, and analysis rather than delegating execution.

What skills and experiences will help you?

* Expert-level SQL skills and strong proficiency in Python or R for analysis, modeling, and experimentation.

* Exceptional written and verbal communication skills, with a track record of influencing senior stakeholders through analysis.

* Deep experience working with modern cloud data warehouses and analytics stacks (e.g., Snowflake, Looker/Omni, dbt).

* Strong statistical foundation, including experimentation design, causal inference, and applied modeling.

* Proven ability to operate autonomously in ambiguous environments and drive clarity without extensive direction.

* Experience working with sensitive, regulated, or privacy-constrained data environments.

* The comfort operating as a senior IC without…