Work cross-functionally with data science, business & finance & enterprise tech teams build insightful decision-making data products, integrations, automation tools & analytical reports. Requires Master degree or foreign equivalent Business Administration, MIS, Engineering, closely related field & 3 years experience position offered. Systems Analyst/Architect, BI Developer, or closely related position. Alternatively, employer will accept Bachelor degree & 5 years progressive, post-bachelor experience in above positions. Any suitable combination education, experience, or training is acceptable.
Demonstrated experience must include: Working within cross functional teams & performing requirements gathering, planning/executing application development; Utilizing Agile & Scrum methodology plan & conduct scrum ceremonies including daily standup, product backlog, sprint planning, sprint review & sprint retrospective meetings; Developing SQL queries & managing different data warehouse technologies & understanding different, advantages & disadvantages each including AWS S3 & MPP systems analytics, Snowflake; Writing & utilizing SQL queries for data mining & manipulation, analysis & modeling data sets to ensure data reliable support business growth; Utilizing data integration platform, Snaplogic, to extract data from various data sources & transform data into usable format & load data consistently optimize performance; Utilizing data analysis & business visualization tools, Tableau, Looker & Power BI, to generate reports & build dashboards business metrics & analyze data & create data insights; Utilizing Airflow create & manage complex data workflows; Performing Unit Testing, Integration Testing, Systems Testing & UAT on developed dashboards, data models & data sources; Creating Financial dashboards, Summary, P&L & Cash Flow Dashboards; & Performing sophisticated spend analysis on Company's buying/spending patterns track trends & make predictions about future events.
40 hrs/wk.
To apply, qualified applicants mail resumes to [email protected] & refer job code # 14772.01772. Direct applicants only.
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