Data Analyst

TL;DR

Data Analyst: Analyze marketing and product data, build visualizations, support decision-making with accurate insights, and contribute to analytical models and automation with an accent on marketing and product data analysis. Focus on designing dashboards, forecasting models, and collaborating with cross-functional teams to ensure data accuracy and actionable insights.

What you will do

• Analyze marketing and product data to identify trends and optimization opportunities.
• Design and maintain dashboards and visual reports using BI tools like Looker Studio, Tableau, and Power BI.
• Build analytical and forecasting models based on product, financial, and behavioral data.
• Prepare technical documentation and maintain data dictionaries.
• Support automation of analytical processes and reporting pipelines.
• Collaborate with product, marketing, and engineering teams to ensure data accuracy and alignment.
• Present insights to stakeholders in a clear and actionable format.

Requirements

• English: B2/C1 level required
• 2+ years of experience in data, product, or marketing analytics.
• Strong SQL and Python skills (pandas, numpy, visualization libraries).
• Proficiency with BI tools: Looker Studio, Tableau, Power BI.
• Experience with customer segmentation, lifecycle analytics, and forecasting models.
• Understanding of marketing and sales performance metrics.

Culture & Benefits

• Learning support including courses, English classes, and conferences reimbursement.
• Unique loyalty program with corporate digital miners for passive income.
• Company-sponsored team retreats in Turkey.
• Memorable events and “Employee of the Month” awards.
• Flexible days off with holidays, sick days, and vacation days with automated approvals.
• Opportunities for career growth into expert or management roles.
• Flexible hours and remote work promoting work-life fit.