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NinjaHoldings

Data Analyst – Marketing

NinjaHoldings

Data Analyst building Snowflake/dbt models and Periscope dashboards for NinjaHoldings’ consumer finance marketing funnel. Diagnosing drop-offs with SQL and Python and advising leadership.

Posted 9/10/2026full-timeRemote • Illinois • 🇺🇸 United StatesJuniorMid-Level💰 $70,000 - $100,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Proficient in data analytics with a strong focus on SQL and Python for problem-solving and reporting. Capable of building and maintaining data models and dashboards while effectively communicating insights to senior management.

Highest-signal resume keywords
SQL ExpertisePython ProficiencyData Analytics ExperienceDBT Data ModelingDashboard Development

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
SQLPythonData AnalyticsDBTSnowflakePeriscopeRelational DatabasesQuery AuthoringAI ToolsQuantitative Analysis
Soft Skills
Problem-SolvingAttention to DetailCommunicationMentoringKnowledge Sharing
Tools & Technologies
SnowflakePeriscopeAI ToolsLLM Tools
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Marketing ReportingFunnel MetricsChannel PerformanceBusiness TradeoffsImpact Analysis

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Own monitoring of key funnel metrics through reports and dashboards, tracking channel performance and diagnosing deviations
  • Independently analyze defined business problems with SQL and Python, quantify drop-off drivers, and deliver recommendations accounting for business tradeoffs
  • Build, update, and maintain dbt data models in Snowflake for marketing reporting
  • Build and maintain Periscope dashboards with charts and metrics improving marketing funnel visibility
  • Communicate concise, action-oriented recommendations to senior management
  • Partner with Marketing, Risk, and Engineering on strategy changes, release monitoring, and post-release impact analysis
  • Use AI tools to accelerate analysis and development while verifying output and owning correctness
  • Support team growth through knowledge sharing, code review, and mentoring junior analysts

Requirements

What you’ll need
  • Bachelor's degree required
  • 2+ years of experience with data analytics
  • Advanced working SQL knowledge and experience with relational databases and query authoring
  • Working familiarity with a variety of databases
  • Proficiency in using Python
  • Demonstrated ability to work effectively alongside AI/LLM tools while independently verifying and correcting their output
  • Strong quantitative and problem-solving skills
  • Keen attention to detail

Benefits

Comp & perks
  • Flexible Paid Time Off
  • Health Benefits with generous medical, dental and vision insurance plans
  • 401(k) with matching contribution
  • Paid Family Leave
  • Annual Wellness & WFH Subsidies
  • Employee Referral Program
  • Remote first culture with convenient downtown office in the heart of the city