Data Analyst

Intellias; Polska; On-site; PLN 120,000 - 180,000; Full time

Job summary

Intellias in Poland is seeking a Mid Data & Analytics Analyst to support analytics initiatives using first-party consumer and CRM data. The role blends hands-on data analysis with assessing data availability, quality and system performance, working with senior analysts on defined tasks and larger projects.

You will prepare, clean and analyze datasets with SQL and Python, perform exploratory analyses across CRM and lifecycle data, document methods clearly, and contribute visualizations to explain

Qualifications

• 4+ years of experience in data analytics, data science or a related role.
• Hands‑on experience with marketing metrics and KPIs
• Experience with data visualization and dashboard creation (Power BI, Tableau, Looker, or similar)
• Strong SQL (including experience with CTEs)
• Good practical Python skills
• Experience with complex datasets and exploratory analysis
• Understanding of statistics and analytical methods
• Clear analytical documentation and communication skills
• Experience with marketing metrics: conversion rate, churn rate, customer satisfaction, NSP, Revenue

Responsibilities

• Prepare, clean and analyse first‑party datasets using SQL and Python.
• Perform exploratory and behavioural analysis across consumer, CRM and lifecycle data.
• Assess the presence, completeness, consistency and usability of data across systems.
• Analyse data flows and system performance, including data quality, freshness, latency and delivery.
• Refresh, extend and improve existing analyses and outputs.
• Support larger projects by owning clearly defined analytical work packages and producing drafts.
• Develop visualisations or dashboards to explain findings or support recurring analysis.
• Document analytical logic, assumptions, data limitations and findings clearly.
• Work collaboratively with analysts, data scientists, technical teams and business stakeholders.

Skills

SQL

Python

Data visualization

Marketing metrics

Statistics

Documentation

Team collaboration

Tools

Power BI

Tableau

Looker

CTEs

Job description

We're looking for a Mid Data & Analytics Analyst to support analytics initiatives, primarily using first-party consumer and CRM data.

The role will combine hands-on data analysis with assessment of data availability, quality and system performance. The analyst will work alongside more senior analytics specialists, taking ownership of defined analytical tasks, supporting larger projects, and refreshing or extending existing analyses.

This is not a pure BI or dashboarding role. Visualization and data storytelling are important complementary skills, but the main focus is on understanding data, identifying issues and producing reliable analytical outputs.

Requirements:

• 4+ years of experience in data analytics, data science or a related role.
• Hands‑on experience working with marketing metrics and KPIs
• Experience with data visualization and dashboard creation (Power BI, Tableau, Looker, or similar)
• Strong SQL (visualisation skills), including experience with CTEs (Common Table Expressions)
• Good practical Python skills.
• Experience working directly with complex datasets and performing exploratory analysis.
• Practical understanding of statistics and analytical methods.
• Experience with data visualization and/or dashboarding.
• Ability to identify and investigate data‑quality or data‑availability issues.
• Clear analytical documentation and communication skills.
• Experience with marketing metrics: conversion rate, churn rate, customer satisfaction, NSP, Revenue
• Ability to work effectively within a collaborative team and independently on defined tasks.

Will Be a Plus

• Experience with B2C CRM, first-party consumer data or lifecycle/behavioral analytics.
• Experience working with offline as well as digital consumer data.
• Familiarity with CRM, CDP or marketing automation environments.
• Experience analysing data quality, system performance or data flows.
• Experience working with proxy signals or incomplete attribution.
• Experience with collaborative analytical workflows such as notebooks and Git.

Responsibilities:

• Prepare, clean and analyse first‑party datasets using SQL and Python.
• Perform exploratory and behavioural analysis across consumer, CRM and lifecycle data.
• Assess the presence, completeness, consistency and usability of data across systems.
• Analyse data flows and system performance, including topics such as data quality, freshness, latency and delivery.
• Refresh, extend and improve existing analyses and analytical outputs.
• Support larger projects by owning clearly defined analytical work packages and producing first analytical drafts.
• Develop visualisations or dashboards where they help explain findings or support recurring analysis.
• Document analytical logic, assumptions, data limitations and findings clearly.
• Work collaboratively with analysts, data scientists, technical teams and business stakeholders.