Artlist Product Analyst 

Israel, Tel Aviv District, Tel Aviv-Yafo 

25813805

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.

By identifying areas for improvement and recommending opportunities for growth, you will play a key role in all relevant product decisions.

Wake up for this:

• Provide top-notch analyses, insights, and recommendations to align Artlist's catalogs development with the business needs.
• Lead the development of measures to ensure product health and business growth.
• Develop strong partnerships with functional leaders to drive strategic product initiatives forward.
• Design, build, and maintain product-related analyses and dashboards for various roles.
• Act as an analytical focal point for stakeholders for all product data related matters.
• Conduct exploratory data analysis to find new opportunities arising from the data.

• At least 4 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.