Senior Data Analyst — Growth & Product Insights

HubX

Fatih

On-site

TRY 550,000 - 750,000

Full time

14 days+
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Benefits offered by this job

MacBook
Private medical insurance
Gym reimbursement
Istanbul office
Team events
Meal card
Wellbeing & learning programs

Job summary

HubX in Istanbul is seeking a Senior Data Analyst to join our growing team. You will work with product, development, operations and marketing to track and analyze product initiatives and marketing performance.

You will build KPI dashboards, validate data, and develop scalable SQL queries (BigQuery). Proficiency in Python and BI tools will be essential to translate data into actionable recommendations in a fast-paced, data-driven environment.

Qualifications

  • Minimum 4+ years hands-on data analytics experience.
  • Strong Python knowledge.
  • Hands-on SQL experience, preferably with BigQuery.
  • Able to translate data into actionable insights.
  • Comfortable in fast-paced, data-driven product environments.

Responsibilities

  • Collaborate with product, development, operations and marketing to track and analyze initiatives.
  • Build and maintain KPI dashboards with data validation.
  • Provide analysis to understand user behavior and inform decisions.
  • Develop scalable SQL queries (BigQuery preferred).
  • Use Python for data manipulation and automation.
  • Visualize data to clearly communicate insights.
  • Explore funnels and app journeys to improve UX.
  • Contribute to data quality, reliability, and documentation.

Skills

Python
SQL
Data analytics
BigQuery

Education

Bachelor's degree in Computer Engineering, MIS, Statistics, Mathematics or related fields

Tools

Looker
Tableau
Power BI

Job description

HubX in Istanbul is seeking a Senior Data Analyst to join our growing team. You will work with product, development, operations and marketing to track and analyze product initiatives and marketing performance.

You will build KPI dashboards, validate data, and develop scalable SQL queries (BigQuery). Proficiency in Python and BI tools will be essential to translate data into actionable recommendations in a fast-paced, data-driven environment.

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