Data Analyst

Responsedga Technology And Marketing Inc.

Fatih

On-site

TRY 40,000 - 60,000

Full time

14 days+

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Job summary

Responsedga Technology And Marketing Inc. in Fatih, Turkey is looking for a Data Analyst to transform campaign performance data into actionable insights. You will analyze customer behavior and create dashboards using Looker and BigQuery, driving strategic decisions through data.

The successful candidate will have a minimum of 2 years of experience in data analysis, proficient in SQL and Python. Join us to shape the future of growth marketing.

Qualifications

  • 2+ years of data analysis experience involving SQL and Python.
  • Proficiency in using Looker and BigQuery for data insights.
  • Ability to analyze and interpret data trends and patterns.

Responsibilities

  • Conduct campaign performance analysis and cross-channel comparison.
  • Detect customer behavior signals and perform segmentation analysis.
  • Provide weekly insights to inform strategic decisions.
  • Visualize data and create dashboards using Looker and BigQuery.

Skills

Data analysis
SQL proficiency
Python proficiency
Analytical thinking

Tools

Looker
BigQuery

Job description

You are the person who extracts meaning from Growth OS data. You turn campaign performance data, customer behaviour signals, and cross-channel analysis into business decisions. Working with SQL, Python, Looker, and BigQuery, you transform raw data into insights that feed weekly learning loops. You don't write reports — you tell the system what to do next.

What you'll operate:
  • Campaign performance analysis and cross-channel comparison reports
  • Customer behaviour signal detection and segmentation analysis
  • Weekly learning loop insights that feed directly into strategy decisions
  • Data visualisation and dashboard creation in Looker and BigQuery
What the system requires:
  • 2+ years in data analysis with SQL and Python proficiency
  • Experience with Looker, BigQuery, or equivalent BI tools
  • Strong analytical thinking — you find the story in the data, not just the numbers
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