Applied Analytics Insights Analyst

CreatorIQ; Warszawa; Hybrid; PLN 75,000 - 120,000; Full time

Benefits offered by this job

26 days vacation

Floating holidays

Wellness benefits

Paid parental leave

Medical, life & travel insurance

Employee Capital Plan (PPK)

Stock options

Work from home stipend

Job summary

CreatorIQ is seeking an Analyst who can turn messy client and panel datasets into defensible benchmarks and client-ready analysis. This role partners with our Strategic Intelligence function on enterprise engagements — including accounts like Unilever, P&G, and Samsung — sourcing and analyzing data end to end and presenting findings directly to clients.

You will work with Python and SQL on real client work, handle dirty, multi-source data, and deliver concise, actionable insights.

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
• The instinct to ask "compared to what" before answering a benchmark question
• AI Capable: Uses approved AI tools independently to improve work quality and efficiency, including drafting, summarizing, researching, analyzing, and reviewing outputs for accuracy

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

Skills

Python

SQL

R

Marketing science

AI tools

Data wrangling

Client presentation

Tools

Node.js

pptxgenjs

Job description

CreatorIQ is seeking an Analyst who can turn messy client and panel datasets into defensible benchmarks and client-ready analysis. This role partners with our Strategic Intelligence function on enterprise engagements — including accounts like Unilever, P&G, and Samsung — sourcing and analyzing data end to end and presenting findings directly to clients.

You will work with Python and SQL on real client work, handle dirty, multi-source data, and deliver concise, actionable insights.