Offer summary

Qualifications:

Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field., 3+ years of experience in Business Intelligence, Data Analytics, insights, or Reporting, preferably in marketing or product analytics., Hands-on experience with SQL, Excel, Python or R, and familiarity with ETL processes and data pipeline creation., Proficiency in Tableau, Power BI, or Looker Studio, with strong communication skills in Turkish and English..

Key responsibilities:

Collaborate with marketing, product, and leadership teams to drive data-informed strategies.

Frame business questions into testable hypotheses and define KPIs such as CAC, LTV, and conversion rates.

Connect and manage data from various sources, ensuring accuracy and reliability in coordination with data engineering.

Build dashboards and visual reports using BI tools, translating complex findings into clear, strategic recommendations.

Job description

Job Requirements

We’re looking for a data-savvy professional who brings:

A structured, analytical approach to problem-solving
High attention to detail and documentation quality
Excellent communication skills in both Turkish and English
Strong feedback and collaboration abilities
Facilitation, negotiation, and consensus-building skills
Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field
3+ years of experience in Business Intelligence, Data Analytics, insights, or Reporting (preferably in marketing or product analytics)
Hands-on experience with SQL, Excel, Python or R
Familiarity with ETL processes, APIs, and data pipeline creation
Knowledge of cloud platforms (e.g., Google Cloud, AWS) and modern data storage systems
Proficiency in Tableau, Power BI, or Looker Studio
Understanding of statistical methods like regression, A/B testing, and predictive modeling
Experience with digital marketing and product analytics tools (e.g., Google Analytics, Meta Ads)
Ability to present data insights to both technical and non-technical audiences
Experience in segmentation, cohort/audience analysis, attribution modeling, and data storytelling
A proactive mindset with strong work ethic and a positive attitude

Key Responsibilities

In this role, you will:

Collaborate across marketing, product, and leadership teams to drive data-informed strategies
Frame business questions into testable hypotheses and define KPIs (CAC, LTV, churn, conversion, etc.)
Set up and maintain measurement plans and benchmarks
Connect and manage data from various sources (analytics, CRM, eCommerce, ads platforms)
Ensure data accuracy and pipeline reliability in coordination with data engineering
Conduct customer segmentation and behavioral analysis (cohorts, journeys)
Apply statistical models and predictive analytics to generate actionable insights
Perform attribution analysis to evaluate campaign/channel effectiveness
Build dashboards and visual reports using BI tools with scheduled updates
Validate and maintain dashboard integrity and usability
Translate complex findings into clear, strategic recommendations
Contribute to data literacy across teams through training and documentation
Continuously refine strategies based on evolving metrics and business needs