Logo
Saxon Global

Data Analyst Job at Saxon Global in Seattle

Saxon Global, Seattle, WA, United States, 98127


Role - Data Analyst

Rate - $60/hr on C2C

Must be local in Seattle and able to work hybrid schedule (Triar innovation center)

Client - Starbucks

Work Auth- USC or GV

Good possible for extension. Now end of fiscal year. Data bricks - azure aws.

Interview. Supplier sends teams link. 3 interviews - possible 2 with multiple screeners on one call. Star method each focused on one soft and one hard skill.

Top skills
  1. SQL and or python
  2. Growth mind set. Lots of info very fast

Tableau is helpful but not required.

Job Title: data analyst, Tryer

Job Summary and Mission

This job contributes to Starbucks success by guiding business decisions through utilizing data analysis and consulting that results in predicting directional outcomes, understanding complex data relationships, and developing a quantitative return on investment. This position partners on a cross-functional team of innovation leaders supporting strategic initiatives that help shape and define the future of Starbucks.

Models and acts in accordance with Starbucks guiding principles.

Summary of Key Responsibilities

Responsibilities and essential job functions include but are not limited to the following:
  • Extracts data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates data
  • Applies basic statistical concepts and descriptive statistics to understand and describe relationships in data
  • Builds predictive models and complex descriptive analytics, such as clustering and market basket analysis
  • Participates in discussions with business partners to define business questions and to consult
  • Creates impactful visual representations of analytic insights and concise summaries of methodology geared to audience needs; presents selected portions to stakeholders
  • Provides analytic support (code documentation, data transformations, algorithms, etc.) to implement analytic insights and recommendations into business processes (e.g., automation of process to level up Lab analytics)
  • Contributes to analytic project proposals
  • Promotes and advocates for value of analytics and data among peers
  • Provides knowledge share and mentorship to team in databases, tools, access, data prep techniques
Summary of Experience
  • Minimum 1 year experience within data analysis field or discipline
Basic Qualifications
  • Education: BA/BS with concentration in quantitative discipline - Statistics, Math, Comp Science, Engineering, Econ, Quantitative Social Science, or similar discipline