Data Scientist - SQL

Ursus, Inc.
Menlo Park, CA Contractor
POSTED ON 9/2/2022 CLOSED ON 10/13/2022

What are the responsibilities and job description for the Data Scientist - SQL position at Ursus, Inc.?

JOB TITLE: Data Scientist - SQL
LOCATION: Menlo Park, CA
DURATION: 8 Months



Our client, a fortune 500 multi-national technology company is recruiting for a Data Scientist - SQL. If you meet the qualifications listed, please Apply Now! Or if you know of anyone in your network, please refer them to Ursus!

Summary:
We are seeking a temporary worker in our Small Business Group. This role entails using analytical techniques to drive impact with our cross-functional partners.

Responsibilities
  • Provide analytical support to our cross-functional partners including pull data utilizing SQL and delivering those results via presentations, reporting, or dashboard development
  • Support product development with thought leadership on how data should be collected, stored, and utilized
  • Manage requests and priorities independently
  • Provide documentation of queries/inbound requests for future use
  • Create new or improve existing dashboards and analysis to support key stakeholders
  • Communicate results with internal stakeholders
  • Understand existing data infrastructure and determine if queries are possible to run/share
  • Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques


Minimum Qualifications
  • 4 years of experience in analytics, data science, or similar field
  • Advanced proficiency in SQL
  • Experience problem solving and providing business insights and recommendations from data
  • Ability to manage multiple concurrent projects and drive initiatives in a cross-functional environment
  • Ability to communicate complex data issues to audiences of different levels of technical expertise

Preferred Qualifications
  • Experience building out large data sets and pipelines
  • Python or similar scripting experience
Education:
  • · Bachelor's degree in a technical focus area
Preferred Qualifications
  • · MBA or graduate degree in a quantitative field


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