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 people management responsibilities.

Nice to Have?

-Experience in fintech, identity, security, or other high-compliance domains.

-Prior collaboration with data engineers or architects on analytical data model design.

-Exposure to product analytics, growth analytics, or financial analytics at scale.

-Experience contributing to analytics standards or frameworks used across an organization.

What We Offer

Cloaked is a well-funded Series A startup based out of NYC.

Although we are a distributed team, the NYC team operates with a hybrid model. The office building is home to several amenities, including a gourmet cafe, cocktail bar, and a rooftop work area.

We have a fully built out kitchen packed with drinks and snacks. The Cloaked team has diverse interests so we frequently embark on team outings and go out for socials!

Compensation and Benefits

We offer above…