The Job Description:

Job Title: Data Analyst

Duration: 12+ Months

Location: Seattle, WA

Job Description:

• This job contributes to the 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.
• Models and acts in accordance with client's guiding principles.
• Looking at data from a human lens

Key projects:

• Assistance with the existing workload
• Data Collection
• Cross functional work with the program teams
• Handling non-production data
• Will vary from project to project and will work on different innovations

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

Technology requirements:

• Microsoft Office tooling
• Smart Sheets
• Exposure and business-applicable experience in several data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig)
• SQl and Python are priority, data bricks preferred
• Experience with Azure, AWS Databricks preferred

Degree or certifications required:

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

Years experience:

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

Required background & Skills:

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

Nice-to-Haves:

• Retail, customer loyalty, and eCommerce experience, preferred
• Data bricks experience
• Larger data sets experience
• Innovation and supply chain experience preferred

Must-Have Skills:

• SQL Experience
• Growth Mindset
• Python