Artlist Product Analyst - Content 

Israel, Tel Aviv District, Tel Aviv-Yafo 

501238618

We do this by giving them the best music, footage, sound effects, and editing software around. We also revolutionized the industry with a radical new music licensing model that has since become the global standard.

Our products:

• Artlist: a platform for the highest-quality, royalty-free music, SFX, footage, and video templates
• Motion Array: a leading video template platform that also offers software plugins, and over 1 million royalty-free songs, videos, sound effects, photos, and graphics
• FXhome: a cutting-edge developer of video, VFX, and image editing software

Wake up for this:

• Play a key role in the product, and be responsible for a wide range of aspects in it, such as: catalog management and performance
• Creating operation tools and provide guidance to the stakeholders
• Explore, analyze and process massive amounts of data, and turn it into actionable insights.
• Work closely with key stakeholders to drive strategic product initiatives forward.
• Analyze behavioral data and product performance data, develop measures to ensure product health and business growth.
• Design, build and maintain product-related reports and dashboards for various roles.
• Act an analytical focal point for stakeholders for all product data related matters.

• At least 2 years of similar experience.
• Excellent analytical skills, combined with a broad and comprehensive business vision.
• Strong communication and interpersonal skills, with proven story-telling skills.
• Quick-thinking, fast learner and problem solver.
• Readiness to work in a high paced, dynamic and challenging environment.
• Excellent hands-on SQL skills.
• Expertise in a data visualization tool ( Tableau - big advantage).
• Master abilities in Excel and PowerPoint.
• Excellent English skills.
• Statistical knowledge and experience using statistics for analyzing datasets - advantage.
• Required education : B.Sc. in Industrial Engineering, Economics, Math, Statistics, Science/Data Systems Management or an equivalent background.