The Role
Analyze large datasets to generate performance marketing insights, build KPI dashboards and reports, develop data marts and data warehouse structures, visualize findings, and communicate recommendations. Design A/B tests, apply statistical methods, analyze product funnels, and identify opportunities across acquisition, re-engagement, retention, and the user journey. Partner with product and engineering teams to turn analyses into measurable business improvements.
Summary Generated by Built In
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.
Be an Outlier, and Build the Future of Money!
Skills Required
- Bachelor's or Master's degree in Business Administration, Economics, Management Engineering, Industrial Engineering, or a related quantitative field
- Strong proficiency in SQL
- Strong proficiency in Tableau or other data visualization tools
- Knowledge of Python
- Experience designing and analyzing A/B tests
- Experience creating predictive and explanatory models
- Knowledge of customer acquisition, re-engagement, and retention strategies
- Ability to apply statistical methods, including hypothesis testing and logistic regression
- Experience conducting analytical projects to improve product performance
- Ability to perform product funnel analysis across the user journey
Am I A Good Fit?
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The Company
What We Do
Midas is a Turkish financial technology company and the country's first fully digital stock brokerage application. It provides individual investors with seamless access to major U.S. stock markets, including NASDAQ and NYSE, as well as Borsa Istanbul. The SEC-licensed platform enables users to invest in stocks, options, warrants, and investment funds, focusing on diversifying portfolios and making financial markets more accessible.
