Data Analyst

Bold Games; Fatih; On-site; TRY 300,000 - 420,000; Full time

Job summary

Bold Games is seeking a Data Analyst to join our tight-knit team and collaborate across disciplines. You will build dashboards, surface actionable insights, and own analytics tools to ensure data accuracy as our mobile gaming data grows.

You’ll work with a multi-disciplinary team, stay curious about industry trends, and help scale data structures to power product and marketing growth.

Qualifications

• University degree in STEM or related field.
• At least 1 year of hands-on data-related experience.
• SQL, Python or similar language for data analysis.
• Curious and up-to-date with industry trends.

Responsibilities

• Building dashboards to support product and marketing decisions.
• Breaking down large data sets to surface actionable insights.
• Owning data analytics and visualization tools with data integrity.
• Building scalable data deliverables aligned with backlogs.

Skills

Data analysis

Dashboard development

Education

University degree in STEM

Tools

SQL

Python

Job description

At Bold Games, we're a tight-knit team that genuinely loves what we do. We support each other through every step of our journey and keep pushing towards the best that has yet to come.

We are looking for a Data Analyst who will collaborate with our multi-disciplinary team, contributing analytical insights and building scalable data structures alongside them. If you're a data-driven individual who’d like to explore and dive deep into mobile gaming, take the chance and join our team!

What you’ll be doing - at its core:

• Building and maintaining dashboards to support product and marketing decisions
• Breaking down large data sets to surface actionable insights across our team
• Owning our data analytics and visualization tools while ensuring the accuracy and integrity of reported data
• Building scalable data deliverables that align with product and marketing backlogs to ensure our data systems power our growth

What we’re looking for:

• University degree in STEM, or related fields
• At least 1 year of hands-on experience in a data-related role
• Proficiency in SQL, Python, or any programming language for data analysis
• The curiosity to stay up-to-date with industry trends, best practices, and technologies