Artlist Core Product Analytics Team Leader 

Israel, Tel Aviv District, Tel Aviv-Yafo 

802123337

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:

• Manage a team of analysts who provide top-notch analysis, insights, and recommendations to align Artlist's products with business goals; and conduct exploratory data analysis to uncover new opportunities.
• Lead the development of key measures to ensure product health and business growth.
• Drive product initiatives forward in partnership with Artlist's squads and strategic stakeholders.
• Design and implement A/B tests and other product analytics methodologies to evaluate product performance and user behavior
• Design, build, and maintain product-related analyses and dashboards for various roles.
• Serve as an analytical focal point for Management and key stakeholders for all product data related matters.

• 7+ years of experience as a product analyst, preferably in SaaS companies.
• 3+ years of experience in leading product analytics teams, preferably in SaaS companies.
• 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.

: B.Sc. in Industrial Engineering, Economics, Math, Statistics, Science/Data Systems Management or an equivalent background