2 месяца назад
Marketing Analytics Engineer (AI)
135 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Marketing Analytics Engineer (AI/dbt): Architecting the foundational dbt model layer and paid-media attribution systems that turn NinjaTrader's marketing data into reliable growth decisions with an accent on data modeling, measurement accuracy, and AI-driven automation. Focus on building reporting and data-QA agents, scaling models across business units and geographies, and preventing data leaks and pipeline breakage.
Location: Chicago, IL; hybrid schedule with in-office work Tuesday through Thursday and remote work Monday and Friday. Remote candidates are not accepted.
Salary: $135,000–$185,000 USD annually, plus a 12% annual target bonus.
Company
is a retail trading platform and futures broker serving more than 2 million users with trading software and brokerage services.
What you will do
- Architect and own the foundational MECE core model layer in dbt.
- Define modeling standards for naming, testing, documentation, and business logic placement.
- Own paid-media attribution models across business units and prevent double-counting.
- Identify data leaks, coverage gaps, and pipeline breakage before they affect reporting.
- Set the AI strategy for reporting, data-QA automation, agentic workflows, LLM-driven processes, and self-serve knowledge tools.
- Partner with the central Data team, support MarTech data needs, and scale models for new business units and geographies.
Requirements
- 6+ years of experience in analytics engineering or data, including designing data-model layers.
- Deep hands-on expertise with dbt and data modeling, including foundational or shared layers.
- Experience building AI solutions such as automated QA or reporting agents, LLM-driven workflows, or internal knowledge tools.
- Expert SQL skills and experience with large, complex datasets and modern data stacks such as BigQuery, Snowflake, Fivetran, or Paradime.
- Strong knowledge of marketing measurement, attribution, CAC, LTV, and ROAS.
- Excellent communication skills and the ability to establish technical standards in a fast-moving environment.
Nice to have
- Experience with marketing mix modeling, incrementality, or geo-testing.
- Background in fintech, trading, or high-growth consumer technology.
- Experience mentoring analysts or engineers and setting technical standards.
- Proficiency with BI tools, preferably Looker.
Culture & Benefits
- 20 additional flex remote days annually and five company-wide office-optional weeks tied to major holidays.
- 18 days of annual paid time off, seven paid holidays, five conditional holidays, and one service day.
- 401(k) plan with a company match of up to 3.5% of employee contributions.
- Paid parental bonding leave and health, vision, and dental coverage.
- Life and disability insurance fully covered by .
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