About The Position

Hi! Thanks for checking out the Data Analyst position.

Who are we?

  • Skai (formerly Kenshoo) is a leading omnichannel marketing platform that uniquely connects data and performance media for informed decisions, high efficiencies, and optimal returns. Its partners include Google, Meta, Amazon Ads, TikTok, Snapchat, Walmart Connect, Instacart, Roundel, Criteo, CitrusAd, Pinterest, Microsoft, LinkedIn, Apple Search Ads, and more.
  • We’re 700 employees strong and growing every day! ~$7 billion in ad spending is managed on the SkaiTM platform every year, driving hundreds of billions in commerce decisions and sales transactions. 
  • Established in 2006, we are a thriving organization, with a unique startup culture, an incredible track record of success, and an amazing future in sight! 
  • We are hybrid for the long term - with a great home/ office work mix, passionate and diverse team members, and a vibrant company culture.


The Data Analyst position at Skai

  • Analyze BIG data and turns it into information that can offer ways to improve a business product, thus affecting company decisions.
  • Gather information from various sources and interpret patterns and trends.
  • Evaluate the strategic path of new data projects, and work with the technical and business management in analyzing new initiatives to support the company's growth.
  • Answer business questions by mapping, tracing, analyzing, and visualizing data.
  • Support business/product users by identifying and mapping complex and new data sources.
  • Identify any data quality issues in data acquisition.
  • Coordinate the gathering of new data points or create new frameworks for analysis with data engineers and BI developers.

Requirements

How do I know if it's the right job for me?

  • If you are an experienced data analyst (4+years) 
  • If you have strong data analysis skills as well as SQL/Python programming skills and a good understanding of statistics.
  • If you have an intuitive understanding of digital marketing, R&D products life-cycle, a strong grasp of business models and statistics and excellent analytical and problem-solving skills.
  • If you have the passion and the ability to distill data into concise insights, business KPIs, and communication materials tailored to the audience.

Other qualifications and experience

  • BS/BA in a relevant field (Statistics, Industrial Engineering, Information Systems, MA/PHD an advantage) .
  • Proficient in SQL capabilities. 
  • Experience working with Python.
  • Experience querying Big data (Snowflake an advantage)
  • Ability to analyze huge data sets effectively. 
  • Online marketing experience (an advantage).
  • Data enthusiast and a team player.

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