Senior Data Solutions Analyst

Other El Segundo, California


Description

Named as one of LA's Best Places to Work by Built in LA, Prodege, LLC, is an internet and media company that is dedicated to “creating rewarding moments” for its members by rewarding them with more than $1.7 billion in cash and free gift cards since inception. Prodege is comprised of leading consumer brands — Swagbucks, MyPoints, ShopAtHome, InboxDollars, and Upromise— which deliver engaging content and valuable rewards to more than 120 million members worldwide. Prodege's complementary suite of business solutions helps brands boost engagement with consumers by making it easy to gather insights, listen to their audience and gain further exposure to drive brand loyalty.

We are currently seeking a Senior Data Solutions Analyst to join our team. 

In this role, you will:

  • Collaborate with Data and Insights team members to collect and analyze data
  • Use 3rd party tools to generate graphs, infographics and other data visualizations
  • Generate data extracts for both internal and external customers
  • Work with internal development teams where data is an integral part of the solution
  • Assist internal and 3rd party data coding teams to improve quality of the data

The ideal candidate will be a true team-player who is familiar with data solutions and has experience in the areas of data analysis and data visualization and: 

  • Understands internal and external clients’ business questions and research-related needs and suggests approaches and data deliverables which will exceed client expectations
  • Ensures that internal/external client objectives are met throughout the process
  • Has a proven track record of delivering high-quality results in a timely manner
  • Is a fast learner who takes initiative and is driven to learn new things, test new techniques, and experiment
  • Is a strong team player and able to manage multiple ongoing projects

This position is based ideally in our Los Angeles office/area – however remote candidates may be considered. 

Candidates must have experience with the following:

  • Strong Relational DB experience
  • Semi Structure DB Experience
  • SQL (Snowflake DB is a plus)
  • Python and/or R is a plus
  • Database privacy and security knowledge and appreciation
  • Ability to QA data in all its forms
  • Alteryx is a plus
  • Machine Learning (AWS -Comprehend/Sagemaker/Ground Truth/etc)

Visualization Tools:

  • Tableau
  • QlikView
  • Sigma
  • Crunch.io
  • Or other similar technologies

Experience:

  • 5 years minimum experience providing data extraction and data analysis for either internal or external parties
  • Experience interfacing with Customers
  • Experience with/in Market Research a plus
  • Excellent attention to detail
  • Strong verbal and written communication skills