Business Intelligence Engineer

Insight Global
Nashville, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Nashville, United States of America

Tech stack

Microsoft Excel
Amazon Web Services (AWS)
Data analysis
ETL
Data Visualization
Database Queries
Python
Query Optimization
Power BI
Standard Sql
SAS (Software)
SQL Databases
Tableau
Data Processing
Cloud Platform System
Information Technology
Data Analytics
Data Pipelines

Job description

A client of Insight Global in the retail & technology industry is seeking a Business Intelligence Engineer to support a growing business group of senior team members to transform data into actionable insights that support business decisions across the organization. The daily duties include but are not limited to:

  • Develop and maintain SQL queries for data extraction and analysis

  • Create data visualizations and dashboards using tools like Tableau, QuickSight, or PowerBI

  • Build basic ETL processes and data pipelines under guidance

  • Partner with stakeholders to understand business requirements

  • Analyze data to identify trends, patterns, and anomalies

  • Automate recurring reports to improve efficiency

  • Ensure data quality and accuracy in reporting

  • Document technical processes and data definitions

  • Support ad-hoc analysis requests from business partners

Requirements

  • 1-2 years of professional experience as a Business Intelligence Engineer

  • Expert-level SQL skills including complex queries, joins, subqueries, window functions, and query optimization

  • Familiarity with statistical concepts and methods

  • Basic understanding of ETL processes and data pipeline architecture

  • Experience with Python or R or Similar Code Language for data analysis including data manipulation, statistical analysis, and automation

  • Experience with at least one data visualization tool (Excel, Tableau, QuickSight, PowerBI, or similar)

  • Strong analytical and problem-solving skills

  • Ability to communicate technical concepts to non-technical audiences

  • Demonstrated ability to work independently and in team environments * Bachelor's degree in computer science, Engineering, or related quantitative field such as math/statistics, computer science or a related field

  • Exposure to cloud computing platforms (AWS preferred)

  • SAS experience

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