drjobs Direct Client - Data Analyst Supporting Big Data Projects SQL Python must

Direct Client - Data Analyst Supporting Big Data Projects SQL Python must

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Job Location drjobs

Seattle - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Direct Client Data Analyst Supporting Big Data Projects SQL Python (must) Data Bricks (Nice Have)
Location: Seattle WA (Onsite)

Job description

  • This job contributes to clients 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 crossfunctional team of innovation leaders supporting strategic initiatives that help shape and define the future of Client.
  • Models and acts in accordance with Clients guiding principles.
  • Looking at data from a human lens will not be doing hands on lab testing

Tops 3 Skills Needed

1

SQL Experience

1 Years

2

Growth Mindset

1 Years

3

Python

1 Years

Years of Experience:

  • Minimum of 1 years of experience within data analysis field or discipline

Technology requirements:

  • Microsoft Office tooling
  • Exposure and businessapplicable experience in several data ETL (SQL Python DataBricks Java Ruby Pig Teradata Oracle)
  • SQL and Python are priority data bricks preferred
  • Experience with Azure AWS Databricks preferred

Required background Skills

  • Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in crossfunctional projects and activities
  • Exposure and businessapplicable experience in several Modeling & Machine Learning Techniques (regression tree models survival analysis cluster analysis forecasting anomaly detection association rules etc.)

Degree or certifications required:

  • Education: BA/BS with concentration in quantitative discipline Statistics Math Comp Science Engineering Econ Quantitative Social Science or similar discipline

Daily Responsibilities:

  • 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

NicetoHaves:

  • Retail customer loyalty and eCommerce experience preferred
  • Data bricks experience
  • Larger data sets experience
  • Supply chain or UX background
  • Innovation and supply chain experience preferred
  • Smart sheets

Employment Type

Full Time

Company Industry

About Company

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