Data Analyst

 5+years’experiencein related field preferred 
 Experiencewithother tools such as GCP BQ, Alteryx, Tableau required  Experiencewithdata query, visualization, dashboard and/or scorecard tools preferred 
 Extensive experience performing Analysis and Solutioning 
 Experiencein Big Data systems, Data Lakes and Analytics related field preferred 
 Handsonexperience inDataAnalysis/validation/data mapping and proficient in SQL queries 
 Experience developing Business/Functional Requirement documentation and facilitating requirement work sessions with Business Units/Clients 
 Excellent verbal/written communication skills in an internal client facing role with ability to present information and findings clearly in analysis/reports 
 Canworkoncomplexprojectsoflarge scope 
Responsibilities 
 Scopes, designs, and develops data analytics solutions/models to solve challenging business problems using Google BigQuery, SQL, SAP, Tableau, AtScale, Looker Studio, Alteryx, and other data-centric technologies 
 Proficiency in data modeling/design and reading/writing/debugging/optimizing advanced SQL queries are firmly required 
 Knowledge of data visualization, dashboard, reporting, and OLAP/dimensional design tools preferred 
 Translates complex business requirements into technical requirements, and ultimately into data solutions that enable the business to make fast, effective, data-driven decisions (BigQuery data models/views, AtScale virtual cubes, Tableau dashboards; supports decision-making, metric management, enterprise performance management) 
 Asks probing questions to understand detailed business processes, requirements, and data architectures 
 Brings a foundation of data analysis experience and best-practices to discover and anticipate requirements beyond those that are plainly provided  Observes patterns in processes and data and implementing end-to-end data driven intelligent processes 
 Extracts, manipulates, and analyzes varying types of data to find insight with a high degree of accuracy and attention to detail 
 Integrates analysis and underlying work (e.g., data mapping, transformations, validation) back into preexisting data platforms, with an enterprise mentality beyond any single use case 
 Applies hypotheses and an understanding of cause-and-effect from the logical analysis of a complex situation 
 Highly collaborative with business, subject matter experts, and technical teams in requirements gathering, whiteboarding, rapid prototyping, meetings, communication, etc. 
 Partners in areas of strategic business focus with internal customers spanning all teams, including business, product managers, analysts, engineering, testing, data governance, and leadership 
 Translates effectively between business users and technical team members