Analytics Lead
Cloaked
Data Science
New York, NY, USA
USD 180k-200k / year + Equity
Posted on Jan 27, 2026
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.
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 market rate pay and equity based off of the market's best commercially available data. Your compensation will be a combination of salary, bonus and equity.
Benefits
Cloaked employees have 401K, as well as top of the line Health, Dental, and Vision benefits.
We offer flexible work arrangements and the ability to work remotely as needed. Cloaked provides a home office stipend in addition to a new company laptop (and other tech depending on the role).
Perks
🌴Competitive PTO: We encourage employees to take a minimum # of vacation per quarter. We see PTO as a preventative burnout measure and are committed to changing the industry standard.
🤸Monthly health stipend: Used for any kind of physical, mental or emotional care you’d like to take for yourself, be it a gym membership, a meditation app, or time with a personal trainer.
🥗 Late Night Meals: We understand that sometimes work can get in the way of meal prep. In response to that, we offer employees a monthly meal stipend to be used when they don't have time to get a home cooked meal going!
🧠 Professional Growth: Opportunities for career development and personal growth are provided to all employees who seek to further their knowledge and capabilities through an unlimited professional development fund. Additionally team members are encouraged to regularly attend conferences and industry events.
We are really excited about having you join our mission-driven team and help us build the future of online privacy!
Our values
Make the impossible, possible
Make it possible, quickly
Make it possible, respectfully
Keep consumer privacy paramount
180000 - 200000 USD 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.