Top 3117 Senior Statistical Analyst Jobs

Senior Statistical Analyst
Mission Pet Health —New York, NY
- $140,000 a year
- Full-time
- SQL
- Analysis skills
- Senior level
Quick Apply
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DataAnnotation —Lynn, MA
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Senior Quantitative Analyst - AI Trainer
DataAnnotation —Berkeley Heights, NJ
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Senior Revenue Growth & Pricing Analyst
Moen —Deerfield, IL
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Leidos —Springfield, VA
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Senior Statistical Analyst

Mission Pet Health -
New York, NY

Quick Apply

Job Details

Full-time
$140,000 a year

Qualifications

Quantitative applied research
Design of experiments
Research project design
SQL
Inferential statistics
Statistical modeling
Behavior analysis
Regression analysis
Statistical significance testing
Cross-functional communication
Statistical analysis tools
Database software proficiency

Full Job Description

Mission Pet Health is building a deeper understanding of how pet owners and clients engage across our owned products and touchpoints. This role sits at the intersection of product engineering and data engineering — responsible for defining how we measure client behavior, designing the experiments that test our assumptions, and partnering with engineering to instrument our products with the data infrastructure those efforts require.

This is a foundational role. You won't be handed a mature analytics stack — you'll help build it.

What You'll Do

Client Behavior Modeling

Define and maintain Mission Pet Health's client behavior model — the framework that describes how clients engage across their lifecycle (acquisition, activation, retention, lapse, reactivation)
Identify the key behavioral signals that predict meaningful outcomes (repeat visits, product adoption, lifetime value) and build the models that quantify them
Develop segmentation frameworks that allow teams to understand and act on distinct client cohorts

A/B Testing & Experimentation

Own the end-to-end experimentation program: hypothesis definition, experimental design, power analysis, instrumentation requirements, analysis, and recommendation
Establish organization-wide standards for statistical rigor — guardrail metrics, minimum detectable effects, sequential testing protocols, and significance thresholds
Partner with Product and Marketing to prioritize and sequence experiments; translate results into clear, actionable recommendations for non-technical stakeholders

Data Instrumentation & Beacon Definition

Author and maintain the organization's tracking plan — defining the events, properties, and user identifiers to be captured across web, mobile, and in-clinic touchpoints
Specify analytics beacons and event schemas for engineering teams to implement, including clear acceptance criteria and validation steps
Audit existing instrumentation for gaps and data quality issues; drive remediation in partnership with engineering
Ensure tracking design supports longitudinal analysis, cross-surface identity resolution, and downstream modeling needs

Data Modeling & Analytics Infrastructure

Define the data model that translates raw event streams into clean, analysis-ready assets — in partnership with data engineering
Design and document metric definitions, KPI trees, and measurement frameworks that become the organization's shared source of truth
Build and maintain dashboards and self-serve reporting for Product, Marketing, and clinical teams

Cross-Functional Communication & Influence

Serve as the primary analytics partner to Product, Engineering, and Marketing on behavioral and experimentation questions
Translate statistical findings into clear decision points for product, business, and leadership audiences — without dumbing it down
Present experiment results, model outputs, and measurement frameworks to cross-org stakeholders in ways that drive action
Educate teams on correct interpretation of data and experiment results; build org-wide statistical literacy over time

What You'll Need

Required

6+ years in product analytics, data science, or a quantitative research role with direct ownership of behavioral analytics
Clear communicator who can translate statistical findings for product and business audiences
Strong applied statistics: hypothesis testing, regression, causal inference, power analysis, experiment design
Experience designing and implementing tracking plans and event instrumentation — including writing beacon/event specs for engineering
Proficiency in SQL and at least one of Python or R
Experience building or contributing to a client/user behavior model from scratch

Preferred

Experience with product analytics platforms (Amplitude, Mixpanel, or similar)
Familiarity with dbt and cloud data warehouses (Snowflake, ClickHouse, BigQuery, or similar)
Experience in healthcare, veterinary, or appointment-based service businesses
Exposure to identity resolution across multiple product surfaces (web, app, in-person)
Background in Bayesian statistics or causal inference methods

What Success Looks Like

First 90 Days

Audit current instrumentation and data model; document gaps and prioritize remediation
Draft the v1 client behavior model and align stakeholders on its key dimensions and signals
Ship at least one experiment end-to-end with full documentation

First Year

A trusted, well-instrumented behavioral data foundation is in place
The experimentation program is running consistently, with clear standards and a prioritized backlog
Product and Marketing teams are making decisions grounded in the client behavior model you defined
Product analytics is an established discipline within the broader Product & Tech org — and you're leading it

About Mission Pet Health

Mission Pet Health operates a growing network of veterinary hospitals and pet health services. We're committed to making high-quality pet care accessible and to building lasting relationships with pet owners across our markets.

Mission Pet Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Quick Apply

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