Marketing Data Analyst

About The Position

Fire-Arc is an innovative, data-oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets.

We are expanding rapidly our teams and business and are focused on adding like-minded, result-oriented, and high achievers talents.

Are you an individual with a great personality, self-motivated, and a positive approach?

Can you face and overcome challenges, agility, and focus that is required in a rapid-growth environment?

If your answer is YES, we might be a good match!

Your Impact & Responsibilities:

• Work closely with marketing team, as well as - Product, BI, Monetization, and management, serve as our data focal point
• Collect, refine, and analyze large, complex data sets representing users’ behavior, see beyond numbers, and help to inform, influence, support, and execute our business decisions
• Plan and analyze effective A/B tests in order to improve business KPIs
• Build reports and dashboards to monitor product performance, key business metrics, and user experience
• Be proactive and provide actionable recommendations and conclusions from app data to shape features, future product roadmaps, and business strategies

Requirements

• More than 3 years experience as a data analyst ,preferably in the digital advertising industry.
• Bachelor's degree in a quantitative field such as Statistics, Data Science, Computer Science, or a related field.
• Full Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
• Experience with analyzing user acquisition platforms (e.g. Google ads, Taboola, Meta)
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Excellent communication skills to convey findings and recommendations to both technical and non-technical stakeholders.
• Attention to detail and a commitment to data accuracy and integrity.
• Ability to work collaboratively in a cross-functional team environment.

Advantages

• Experience working with BigQuery
• Experience working with Power BI
• Experience working in cloud environments (GCP/AWS/Azure)
• Experience in Python or any other scripting language
• Experience with subscription based company (B2C)