Marketing Analytics Data Analyst — Remote

OfferGenie

Chicago (IL)

Hybrid

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Flexible Paid Time Off
Health Benefits with medical, dental,
401(k) with matching contribution
Paid Family Leave
Annual Wellness & WFH subsidies
Remote-first culture with downtown OC/

Job summary

NinjaHoldings is seeking a self-directed Data Associate to join the Marketing Analytics team. You will own analytics end-to-end, building Snowflake/dbt models and Periscope dashboards to power funnel reporting, diagnose drop-off drivers with SQL and Python, and translate findings into leadership-ready recommendations.

You will collaborate with Marketing, Risk, and Engineering to coordinate strategy changes, mentor junior analysts, and leverage AI tools with careful validation to ensure accuracy.

Qualifications

  • Bachelor's degree required.
  • 2+ years of data analytics experience.
  • Proficiency with SQL and Python, and working knowledge of Snowflake/dbt.
  • Comfort using AI/LLM tools with validation of results.

Responsibilities

  • Own funnel analytics, monitor metrics, and report deviations with root-cause analysis.
  • Analyze defined business problems using SQL and Python; quantify drop-off drivers.
  • Build and maintain dbt models in Snowflake for marketing reporting.
  • Develop and maintain Periscope dashboards for marketing funnel visibility.
  • Present concise, actionable recommendations to senior management.
  • Collaborate with Marketing, Risk, and Engineering on strategy changes and post-release analysis.
  • Mentor junior analysts and review code; verify AI-generated outputs.

Skills

Advanced SQL
Python
Data analytics
AI tooling usage

Education

Bachelor's degree

Tools

Snowflake
dbt
Periscope

Job description

NinjaHoldings is seeking a self-directed Data Associate to join the Marketing Analytics team. You will own analytics end-to-end, building Snowflake/dbt models and Periscope dashboards to power funnel reporting, diagnose drop-off drivers with SQL and Python, and translate findings into leadership-ready recommendations.

You will collaborate with Marketing, Risk, and Engineering to coordinate strategy changes, mentor junior analysts, and leverage AI tools with careful validation to ensure accuracy.

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