Data Scientist / Data Analyst / Data Engineer

Data science, Business analysis, Commerce, Computational finance, Data analysis, Data engineering, Active Directory, Amazon Web Services, Analytics, Apache Hive, Attention to detail, Infrastructure, MATLAB, Marketing, MySQL, NICE, Oracle, Problem solving, Decision-making, ETL, Education, Electronic commerce, Engineering, SPSS, SQL, Science, Scripting language, Stata, Statistics, Strategy, Facebook, Project management, Python, Quick learner, R, Reporting, SAS, Taxes, Vertica
Contract W2, 12 Months
Depends on Experience
Work from home available Travel not required

Job Description

 

Job Title: Data Analytics & Engineering - Data Analyst III

Tax Work Location: Menlo Park, CA

 

  Job Description: *Duties*

 

                * Work closely with the PM and members of the analytics team to understand opportunities for commerce on Facebook.

                * Produce ad hoc analyses to aid team in understanding user behavior, develop POVs, and drive decision-making.

                * Work closely with data scientists and data engineers to develop data infrastructure (data pipelines, reports etc) and other tools to make analytics easier and more effective.

                * Be the go-to expert for data resources and tools for the product team.

 

*Skills*

 

Must Have/ Non Negotiable:

                * 2+ years experience with data and analytics in businesses strategy, marketing, finance, engineering or science

                * 1+ years of experience with SQL (Oracle, Vertica, Hive, MySQL, etc) or a scripting language for data analysis is required

                * 2+ years experience with statistical analysis. Stat packages such as R, MATLAB, SPSS, SAS, Stata, etc

                * Ability to clearly communicate technical concepts to non-experts

                * Detail-oriented execution style, exceptional problem solver, self-directed, quick learner

 

 Nice to Have:

                * Product analytics

                * Python or R

                * Masters or PhD in quantitative discipline

                * Background in commerce or ecommerce ex: Amazon, offer up, Shopify, etc..

 

Education:

                * BA/BS degree

 

 

Dice Id : wesca004
Position Id : DWNTR10866
Originally Posted : 1 month ago
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