Data Analyst

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
9 hours ago