Work with cross-functional teams such as Sales, Marketing, Product, Engineering, and Operations to provide actionable insights on consumer behavior, advertising channel mix, and digital transactions/sales through data analytics, pre/post analysis, and statistical methods.
Partner with business leaders to identify and define key reporting and analysis metrics to inform the business' KPI framework.
Create standard and evolving reporting, analysis, and forecasting capabilities to support client optimization strategies and inform business decisioning.
Mine data from a variety of data sources and platforms (relational, NoSQL, data lakes, cloud warehouses) to surface strategies that improve ROI and program performance.
Develop and implement data validation frameworks to ensure accuracy, consistency, and reliability of analytical outputs—including cross-referencing source systems, identifying data drift, and reconciling discrepancies.
Apply statistical techniques (hypothesis testing, regression analysis, confidence intervals, anomaly detection) to validate findings, quantify uncertainty, and distinguish meaningful patterns from noise.
Leverage BI tools with AI capabilities to assist in generation of reports, dashboards, and stakeholder presentations.
Present directly to stakeholders, developing and articulating analytical concepts and summarized findings through cohesive narratives and compelling visual storytelling.
Collaborate with different departments and define requirements to improve our analytics suite.
Champion a healthy team culture and mentor team members.

Requirements

Bachelor's degree or equivalent experience
8+ years of web, marketing, and/or commerce analytics experience
Experience working and leading groups within an agile environment
Proficiency with web analytics tools such as Google Marketing Platform, Facebook Insights, Google Analytics, Adobe Analytics, and first-party consumer data sets
Expert-level proficiency in SQL with demonstrated ability to write complex queries across multiple database platforms (Snowflake, Redshift, BigQuery, SQL Server, PostgreSQL)
Experience with diverse data architectures including relational databases, columnar stores, data lakes (S3, Azure Data Lake), and semi-structured data formats (JSON, Parquet, Avro)
Familiarity with statistical programming languages (R, Python/pandas/scipy) for data validation and exploratory analysis
Ability to assess data integrity—including identifying missing data, duplicate records, schema inconsistencies, and upstream data quality issues
Experience with statistical validation techniques to verify data accuracy and analytical conclusions
Understanding of sampling methodologies, confidence intervals, and margin of error calculations
Proficiency with Tableau, MicroStrategy, or Power BI to create visualizations from disparate data sources
Strong Microsoft Office skills, including Excel proficiency with large data sets, pivot tables, and automated data pulls
Ability to articulate business performance metrics through visualizations, presentations, and dashboards
Demonstrated ability to synthesize complex information, think conceptually, and drive results
Exceptional communication and interpersonal skills
Ability to manage ambiguity, adapt to changing priorities, and handle multiple projects with a strong sense of urgency and accountability
Highly accountable and performance driven.

Benefits

The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations;
seven paid holidays throughout the calendar year;
up to 160 hours of paid wellness annually for their own wellness or that of family members.
Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsstatistical methodsSQLhypothesis testingregression analysisanomaly detectiondata validationdata integrity assessmentsampling methodologiesdata visualization

Soft Skills

communicationinterpersonal skillsmentoringcollaborationconceptual thinkingadaptabilityaccountabilityresults-drivenpresentation skillsteam culture champion

Certifications

Bachelor's degree