Applied Analytics Analyst — Remote & Client Benchmark Insights

Openkrill; United States; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

26 days vacation

Work from home stipend

Equity: Stock options

Wellness benefits

Job summary

CreatorIQ is hiring an Analyst, Applied Analytics to turn messy client and panel data into defensible benchmarks and client-ready insights. You will work closely with Strategic Intelligence on enterprise engagements, sourcing and analyzing data end-to-end and presenting findings directly to clients.

The role requires strong Python and SQL skills, comfort with dirty data, and some R experience. Nice-to-have JS/Node exposure and experience building calculators or prototypes.

Qualifications

• Solid Python and SQL for real client work.
• Comfort with dirty, multi-source data.
• Some R experience.
• Marketing-science awareness, including Media Value, ROAS, and MMM at a concept level.
• Instinct to ask 'compared to what' before answering a benchmark question.
• Light JS/Node exposure (nice to have).
• Experience building a simple calculator or prototype (nice to have).
• Decks-as-code experience (pptxgenjs) (nice to have).

Responsibilities

• Source, clean, and reconcile multi-source client and panel data without hand-holding.
• Build competitive benchmarks and client reports with clear, defensible claims.
• Write the one paragraph a brand director or CMO can act on.
• Present and workshop analyses directly with clients, including pushback and follow-up questions.
• Partner with Strategic Intelligence on enterprise engagements requiring deeper analytical support.
• AI Capable: Uses approved AI tools independently to improve work quality and efficiency, including drafting, summarizing, researching, analyzing, and reviewing outputs for accuracy.

Skills

Python

SQL

R

Marketing science awareness

Light JS/Node exposure

Decks-as-code (pptxgenjs)

Tools

pptxgenjs

Job description

CreatorIQ is hiring an Analyst, Applied Analytics to turn messy client and panel data into defensible benchmarks and client-ready insights. You will work closely with Strategic Intelligence on enterprise engagements, sourcing and analyzing data end-to-end and presenting findings directly to clients.

The role requires strong Python and SQL skills, comfort with dirty data, and some R experience. Nice-to-have JS/Node exposure and experience building calculators or prototypes.