Senior Technical Data Analyst
Confirmed live in the last 24 hours
System1

201-500 employees

Ad & marketing platform
Company Overview
System1's mission is to provide the most accurate and useful predictions in marketing. The company operates a Responsive Acquisition Marketing Platform to connect high intent customers with advertisers at scale.
Data & Analytics

Company Stage

N/A

Total Funding

$920M

Founded

2013

Headquarters

Los Angeles, California

Growth & Insights
Headcount

6 month growth

-6%

1 year growth

-9%

2 year growth

-2%
Locations
Seattle, WA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Power BI
Python
Jupyter
Data Science
R
BigQuery
Apache Spark
SQL
Tableau
Marketing
Hadoop
Data Analysis
CategoriesNew
Data Science
Data Analysis
Data & Analytics
Requirements
  • Bachelor's or Master's degree in a related field (e.g. Computer Science, Statistics, Applied Mathematics, Data Science)
  • 5+ years of experience in data analysis and visualization of large data sets
  • Strong experience with statistical and machine learning techniques
  • Advanced proficiency in SQL, and at least one programming language (e.g. Python, R)
  • Deep familiarity with all digital marketing metrics including CPA, CPC, CPM and ROAS
  • Excellent communication and leadership skills
  • Ability to work independently and as part of a team
  • Experience with big data technologies (e.g. Hadoop, Spark, BigQuery)
  • Experience with data visualization tools (e.g. Tableau, Power BI), as well as surfacing insights with interactive notebooks (e.g Jupyter, Google Colab)
  • Familiarity with pulling data from third party API’s and basic ETL processing
Responsibilities
  • Analyze data from search engine marketing campaigns, including keyword performance, ad spend, and conversions
  • Collaborate with cross-functional teams to identify data-driven opportunities and develop strategies to leverage data assets
  • Develop and maintain analytical dashboards and reports to track key performance indicators and provide insights to stakeholders
  • Analyze data trends and patterns to identify opportunities for improvement and make recommendations to leadership
  • Utilize statistical and machine learning techniques to extract insights from data and build predictive models
  • Train and mentor junior data analysts and team members on data analysis techniques and best practices
  • Stay up-to-date with industry trends and best practices in search engine marketing and data analysis