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

· Creates impactful visual representation of analytic insights and concise summaries of methodology geared to audience needs; presents selection portions to stakeholders

· Works within the Starbucks Enterprise Data Analytics Platform (EDAP) to extract necessary data

· Understands the concepts of project management and can influence teams in the development and implementation of projects related to data and analytics

· Familiar with business risk and how to utilize data to identify probabilities and support mitigation

· Engages with diverse audiences as it relates to data and analytics and can articulate complex terms simply

· Understand the value in marketing contributions and impacts

· Increase level of awareness in group

· Must be able to brief on data

· Data visualizations and interpretation of data

· Customer-related asks

· Data dictionaries and data diagrams

· Creating, running, and distributing queries

· Querying tables to answering specific problems

· Assisting in building new dashboards and new workflows

· Reviewing peers dashboards and query work

· Data cleansing and validating

· Executes testing and business requirement validation on current product enhancements

· Responsible for addressing adhoc requests from business users

· Extracts data from various databases, performs exploratory data analysis, cleanses and aggregates data, creates visual representations of analytic insights and summaries of methodology, and presents to stakeholders.

· Applies basic statistical concepts and descriptive statistics to understand and describe relationships in data

Required Skills : Technology requirements: • Tableau • Alteryx • Microsoft Suite • SmartSheet • SQL • Oracle • Python • Terradata Years experience?: • 3-5+ Required background? Skills?: • Exposure and business-applicable experience in several data ETL (Teradata, Oracle, SQL, Python) • Exposure and business-applicable experience in several analytic languages (R, SAS, SPSS, Stata) • Strong problem solving and analytical skills • Ability to communicate with diverse audiences • Collaborating across functional teams to develop creative solutions • Big data processing techniques, preferred • Data analytics • Data visualization and score-carding – 5 years • Requirements gathering and business process documentation – 5 years • Data management and analysis – 3 years • Project Management – 3 years • Proven track record of innovative problem-solving – 3 years • Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities • Advanced Data Visualization Skills (Tableau preferred) • Applied experience in data and statistical analysis • Strong understanding of database & business system architecture • Ability to communicate clearly and concisely, both orally and in writing • Ability to balance multiple projects and priorities and meet deadlines • Self-motivated
Basic Qualification :
Additional Skills :
Background Check :Yes
Notes :
Selling points for candidate :
Project Verification Info :
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :Assessment/Analysis
Master Job Title :Data Analyst LS
Branch Code :Seattle