Who we are
Lightricks is a pioneer in innovative technology that leads to breakthrough moments throughout the creation process. With a mission to push the limits of technology to reimagine the way creators express themselves, Lightricks combines a unique blend of cutting-edge academic research and design to create products that enhance every users experience.
Our photo and video editing tools offer endless possibilities and inspiration, while our creator services provide content creators with the ability to monetize their work and talent. We focus on putting creators in the center and empowering them from the moment inspiration strikes and throughout their creative journey. Lightricks products bring together intuitive design, innovative technology, and creativity. We have more than 30M global users who use our tools and services to create, enhance and promote their content and creations.
The BI Analytics team makes sure Lightricks is data driven in all its decisions. We are the only team that incorporates Product, Marketing and Finance data to get a full picture of our business status. Our team defines and builds the entire analytics infrastructure of the company while performing cross-app analyses and visualizations. We work closely with analysts, data scientists and other stakeholders to facilitate their work and align everyone to create one source of truth.
What you will be doing
- Develop data processes and build data infrastructure for the relevant stakeholders
- Define and monitor KPIs for various disciplines in the company
- Transform abstract questions into quantifiable metrics
- Data ownership and overall pipeline orchestration
- Analyze large datasets, and provide useful actionable recommendations
- Collaborate with stakeholders from different departments to capture analytical requirements
Your skills and experience
- 3+ years of experience as a Data Analyst / BI Developer / Data engineer
- Experience working with cloud data warehouses
- High proficiency in SQL.
- Ability to understand data and transform it into insights
- High level of English
- ETL experience
- Experience with data visualization tools (Tableau, Looker etc.) - A plus
- Background working in a High Tech company - A plus.
- An academic degree in a quantitative discipline - A plus
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