Data Analyst, Performance Marketing

Midas

Fatih

On-site

TRY 180,000 - 300,000

Full time

14 days+

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Job summary

Midas in Istanbul is seeking a Data Analyst to join our Data Analytics Team and transform real-life financial insights into actionable strategies.

You will analyze large datasets, build dashboards with KPIs, and communicate insights across product and marketing teams to improve performance and user experience. Proficiency in SQL and Tableau is required, Python is a plus, and a quantitative degree is essential.

Qualifications

  • Bachelor’s or Master’s degree in Business Administration, Economics, Management Engineering, Industrial Engineering, or a related quantitative field.
  • Strong proficiency in SQL and Tableau; knowledge of Python is a plus.
  • Experience crafting dashboards and conducting data-driven analyses to improve product performance.

Responsibilities

  • Analyze large datasets to uncover insights and inform strategy.
  • Develop product dashboards with KPIs and monthly/ad-hoc reports.
  • Create visualizations that clearly communicate findings and stories behind the data.
  • Collaborate with product and engineering teams to support decision making.
  • Develop datamart and DWH structures for internal and self-service use.
  • Own end-to-end analyses and drive measurable business impact.

Skills

SQL
Tableau
Python

Education

Bachelor’s/Master’s in quantitative field

Job description

At Midas, we are working on real-life user needs to transform the world of finance.

We’ve transformed investing in Turkey by delivering a seamless experience for everyday investors.

Today, 4.5 million users invest with Midas. Backed by an $80M Series B, the largest fintech investment ever in Turkey, we are scaling faster than ever.

At Midas, we exchange ideas, complement each others skills, and share experiences. In this way, everyone contributes to an atmosphere in which we challenge ourselves, and come up with new ideas and expand our vision. We are a team shaping the future of trading in Turkey and growing rapidly. As Turkey's first effortless stock trading platform, we are looking for Data Analyst who will join our talented Data Analytics Team that works on mission-critical applications.

About Midas Team
  • We solve challenging problems and build 10x better products
  • We expect hard work, high ownership, a strong desire to learn.
  • We bring the best people, holding high quality standards, and an environment of speed and ambition
  • You will get to push your boundaries and learn from the best
What You’ll Do
  • Data Analysis & Insight Generation: Analyze large datasets to deliver strategic recommendations to Performance Marketing team, including root cause analysis of key problem areas.
  • Reporting & Dashboard Development: Build product performance dashboards with KPIs, prepare monthly and ad hoc reports, and manage automated reporting processes.
  • Data Visualization & Storytelling: Create clear and impactful visualizations that effectively communicate insights and tell the story behind the data.
  • Communication & Collaboration: Present insights across the organization through reports and presentations, while working closely with product and engineering teams to inform and support strategy.
  • Data Infrastructure & Organizational Skills: Develop datamart and DWH structures for internal and self-service use, demonstrating strong organizational, detail orientation, and prioritization skills.
  • Impact Creation & Ownership: Take end-to-end ownership of analyses and initiatives, ensuring that insights lead to actionable outcomes, measurable improvements, and meaningful business impact.
Cultural Competencies
  • Takes full ownership — doesn’t wait, just solves
  • Questions assumptions and rebuilds from first principles
  • Balances speed and quality — ships fast, but always clean
  • Collaborates fluidly across teams; communicates clearly, with empathy and precision
What You’ll Bring
  • Bachelor’s or Master’s degree in Business Administration, Economics, Management Engineering, Industrial Engineering, or a related quantitative field.
  • Strong proficiency in SQL, Tableau (or other data visualization tools); knowledge of Python is a plus.
  • Design and analyze A/B tests, create predictive and explanatory models, and conduct proactive analytical projects to improve product performance.
  • Knowledge of customer acquisition, re-engagement, and retention strategies to support product growth.
  • Ability to handle complex projects and apply statistical methods (e.g., hypothesis testing, logistic regression) to measure results and drive insights.
  • Identify and highlight opportunities for improvement across the user journey from a product funnel analysis perspective.

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