Getmidas12mo ago

Product Data Analyst

Türkiye·IstanbulFull-Timemid

Data ScienceProduct Data AnalystData & AI

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Quick Summary

Overview

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 million users invest with Midas.

Technical Tools

pythonsqltableaudata-analysisdata-visualizationfintech

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 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 Product Data Analyst who will join our talented Data Analytics Team that works on mission-critical applications.

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

Data Analysis & Insight Generation: Analyze large datasets to deliver strategic recommendations to Product, Engineering, Growth, and Business teams, 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.

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

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.

Be an Outlier, and Build the Future of Money!