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 templates around. We also revolutionized the industry with a radical new music licensing model that has since become the global standard.

Our products:

• Artlist: an all-in-one platform for video creation, including high-quality and curated royalty-free music, SFX, footage, templates, plugins, and more.
• Motion Array: the ultimate destination for creators, including high-quality video templates by the world’s top motion designers, presets, plugins, music, SFX, stock footage, graphics for design, motion graphics, and stock photos.

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