Data Lead – Central Data Team

YipitData

Data Lead building reusable data systems and methodologies for YipitData, a market research and analytics firm. Owning data quality, scalable workflows, and analytical strategy across alternative-data products.

Posted 8/11/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $170,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics with a strong focus on SQL and Python or PySpark, while leading complex projects and mentoring junior analysts. Proficient in developing analytical frameworks and improving data quality through innovative methodologies and AI tools.

Highest-signal resume keywords

Expert Fluency In SQLExperience Using Python Or PySparkData Quality ImprovementProject LeadershipMentoring Junior Analysts

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

Data AnalyticsData ProcessingData ValidationData ModelingAnalytical FrameworksReusable MethodologiesReceipt ClassificationAutomated QAData OnboardingData Mental Models

Soft Skills

Communication Of Complex ConceptsInfluencing Cross-Functional PartnersCalibrating Analytical RigorReasoning About BiasEstablishing Domain Standards

Tools & Technologies

AI ToolsAutomation ToolsData Evaluation SystemsMonitoring SystemsQA Systems

Industry Keywords

Financial ServicesManagement ConsultingData ScienceHigh-Growth TechnologyComplex-Data Environment

Tech Stack

Tools & technologies

PySparkPythonSQL

About the role

Key responsibilities & impact

Own the lifecycle of a data domain, including processing, validation, tagging, modeling, and downstream usability
Design validation frameworks, monitoring, and QA systems to improve data quality
Develop reusable methodologies and centralized analytical frameworks across business units
Set analytical and technical direction with the Technical Product Manager and Data Engineering Manager
Onboard new datasets with the Data Evaluation team and external data providers
Use AI, automation, and emerging tooling to improve data processing, validation, documentation, and maintenance
Mentor junior analysts and establish domain standards, processes, and culture
Lead projects involving receipt classification, automated QA, dataset onboarding, processing architecture, and standardized business logic

Requirements

What you’ll need

6–8+ years of experience in data analytics
Expert fluency in SQL
Experience using Python or PySpark
Ability to build reliable, reusable analysis workflows
Proven ability to quickly learn complex data methodologies and build strong data mental models
Experience leading complex, ambiguous projects with multiple stakeholders
Ability to calibrate analytical rigor to decision stakes
Ability to reason about bias and representativeness
Experience with messy, inconsistent datasets and evolving schemas
Ability to communicate complex concepts, methodology, risks, and tradeoffs clearly
Ability to influence cross-functional partners
Interest and active use of AI tools
Experience in financial services, management consulting, data science, high-growth technology, or another complex-data environment

Benefits

Comp & perks

Flexible work hours
Flexible vacation
Generous 401K match
Parental leave
Team events
Wellness budget
Learning reimbursement
Equity
Annual performance-based bonus eligibility of up to 10%