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