Data Analyst

Software Engineering
654636

We are looking for an experienced data analyst, who is passionate about exploring complex data sets, drawing meaningful insights from such analysis and building high quality data products.

Bigabid is a fast-growing startup founded in 2015 by an experienced team of serial entrepreneurs and backed by some of the most prominent angel investors in Israel.

 

One of our goals at Bigabid is to disrupt the $200B App Marketing industry with an innovative User-Acquisition andRe-engagement platform powered by machine learning.

We use a wide range of state of the art ML techniques to analyze TBs of data and profile hundreds of millions of users through multiple proprietary data sources.

 

We are looking for an experienced data analyst, who is passionate about exploring complex data sets, drawing meaningful insights from such analysis and building high quality data products.

 

 

Responsibilities:

·     Analyze huge amounts of complex data to identify meaningful patterns and build useful features for machine learning models.

·     Apply data mining and statistical techniques.

·     Perform data manipulation, validation and cross-domain researches.

·     Design and execute tests to derive insights.

·     Research data using code in Python and Spark.

·     Come up with new and creative research ideas and insights.

·     Collaborate with product and engineering teams to solve problems and identify trends and opportunities.

 

Qualifications:

·     Strong critical thinking and analytical skills.

·     2+ years of relevant work experience doing complex quantitative data analysis, including military experience (experience from an intelligence unit an advantage).

·     Scripting and programming skills preferably with Python/Scala.

·     Experience with data manipulation and visualization tools such as Tableau.

·     Experience with query languages such as SQL.

·     Trouble shooter, problem-solver who knows how to navigate trade-offs.

·     Excellent communication skills.

·     Advantage – experience with machine learning models.

·     Advantage – experience with Spark and the AWS stack.

Apply Now