Data Analyst

JOB DESCRIPTION

Data Analyst – Supporting Big Data Projects – SQL, Python (must)

Direct Client - Data Analyst – Supporting Big Data Projects – SQL, Python (must) – Data Bricks (Nice Have)

Location: Seattle, WA (Onsite)(Only Local)

Client: Starbugs

VISA-USC AND GC ONLY

Job description

· This job contributes to client's 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 Client.

· Models and acts in accordance with Client's 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 business-applicable 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 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.)

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

Nice-to-Haves:

· 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