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Urgent! Business Intelligence Engineer II ( NEED LOCAL) Job Opening In Everett – Now Hiring iSoftTek Solutions Inc

Business Intelligence Engineer II ( NEED LOCAL)



Job description

As a Business Intelligence Engineer for Fulfillment Operations , you will utilize your deep expertise in business analytics and tooling to translate the data into meaningful insights.

Through tooling, automation, data analysis, and modeling, you will create solutions to continuously measure KPIs and empower client Operations with the data and insights they need to improve the customer experience and drive efficiencies at scale.

Requirements

Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc.

that will inform and influence data-driven decisions for business operations.

Develop high-quality queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

Develop self-service automated solutions to minimize manual processes with focus on efficiency and scalability.

Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals.

Assist in the development of key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.

Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation

Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions.

Learn and understand a broad range of client s data resources and know how, when, and which to use.

Basic Qualifications

3+ years of experience with data visualization using Tableau, Quicksight, PowerBI or similar tools

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

experience.

Advanced experience using SQL and scripting experience (Python) to process data for modeling

Experience with data modeling, warehousing and building ETL pipelines

Experience in Statistical Analysis packages such as R, SAS

Excellent communication skills, equally adept at working with engineers as well as business leaders

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Preferred Qualifications

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

Experience in data mining, ETL, etc.

and using databases in a business environment with large-scale, complex datasets

Understanding of overall system architecture, scalability, reliability, and performance in a database environment

Experience with SAP or similar inventory systems

Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Years of Experience: +3 Years

Degree or Certification: Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Leadership Principle: Learn and Be Curious, Dive Deep, Clear communication, ownership

Top 3 must-have hard skills

data visualization using Tableau OR Quicksight

Redshift, Oracle, NoSQL etc.

communication skills


Required Skill Profession

Mathematical Science Occupations



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