GoMining
We are looking for a Data Analyst who will work with marketing and product data, build visualizations, support decision-making with accurate insights, and contribute to the development of analytical models and automation.
Responsibilities
Analyze marketing and product data to identify trends, patterns, and opportunities for optimization
Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI)
Participate in building analytical and forecasting models based on product, financial, and behavioral data
Prepare technical documentation and maintain data dictionaries for the analytics function
Support automation of analytical processes, reporting pipelines, and recurring workflows
Collaborate with product, marketing, and engineering teams to ensure data accuracy and alignment
Present insights to stakeholders in a structured, clear, and actionable format
Requirements
2+ years of experience in data analytics, product analytics, or marketing analytics
Strong SQL skills and practical experience with Python (pandas, numpy, visualization libraries)
Proficiency with BI tools: Looker Studio / Tableau / Power BI
Ability to work with large datasets, clean data, and identify statistical patterns
Experience with customer segmentation and lifecycle analytics (LTV, Churn, Retention)
Understanding of marketing and sales performance metrics (ROI, CAC, conversion metrics)
Skills in forecasting and building predictive or statistical models
English level B2/C1 — able to communicate clearly in international teams
Benefits
Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
Work-life fit: remote or hybrid format with flexible hours across international teams.
Paid leave: up to 28 vacation days, 15 sick days, plus local holidays.
Recognition programs: structured performance reviews and team awards.
Team culture: retreats in international locations (for example, company villa in Turkey, Bali)
Seniority level
Entry level
Employment type
Full-time
Job function
Other
Industries
IT Services and IT Consulting
Warsaw, Mazowieckie, Poland PLN16,000.00-PLN25,000.00 4 months ago
#J-18808-Ljbffr
Responsibilities
Analyze marketing and product data to identify trends, patterns, and opportunities for optimization
Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI)
Participate in building analytical and forecasting models based on product, financial, and behavioral data
Prepare technical documentation and maintain data dictionaries for the analytics function
Support automation of analytical processes, reporting pipelines, and recurring workflows
Collaborate with product, marketing, and engineering teams to ensure data accuracy and alignment
Present insights to stakeholders in a structured, clear, and actionable format
Requirements
2+ years of experience in data analytics, product analytics, or marketing analytics
Strong SQL skills and practical experience with Python (pandas, numpy, visualization libraries)
Proficiency with BI tools: Looker Studio / Tableau / Power BI
Ability to work with large datasets, clean data, and identify statistical patterns
Experience with customer segmentation and lifecycle analytics (LTV, Churn, Retention)
Understanding of marketing and sales performance metrics (ROI, CAC, conversion metrics)
Skills in forecasting and building predictive or statistical models
English level B2/C1 — able to communicate clearly in international teams
Benefits
Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
Work-life fit: remote or hybrid format with flexible hours across international teams.
Paid leave: up to 28 vacation days, 15 sick days, plus local holidays.
Recognition programs: structured performance reviews and team awards.
Team culture: retreats in international locations (for example, company villa in Turkey, Bali)
Seniority level
Entry level
Employment type
Full-time
Job function
Other
Industries
IT Services and IT Consulting
Warsaw, Mazowieckie, Poland PLN16,000.00-PLN25,000.00 4 months ago
#J-18808-Ljbffr