Sr Business Intelligence Engineer Local to PA only (Direct Hire/Full time)

SID Global Solutions; Exton (PA); On-site; USD 85,000 - 110,000; Full time

Job summary

SID Global Solutions is seeking a data analytics professional to work with large-scale datasets and perform data mining, ETL, and visualization tasks. The role emphasizes SQL expertise, data storytelling, and reporting using tools like QuickSight/Tableau/PowerBI.

The ideal candidate holds a quantitative bachelor's degree and has hands-on experience with Excel/Smartsheet and data processing pipelines in a business setting.

Qualifications

• 5+ years experience with SQL in a business environment handling large-scale, complex datasets.
• 5+ years experience with data visualization using QuickSight, Tableau, PowerBI, or similar tools (QuickSight preferred).
• Proficiency with Microsoft Excel and/or Smartsheet.
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or equivalent quantitative field.

Skills

SQL

Data mining

ETL

Big data experience

Data visualization

Education

Bachelor's degree in quantitative field

Tools

Smartsheet Premium Features

Salesforce

Python

R

SAS

Matlab

Redshift

Oracle

NoSQL

ArcGIS

Job description

• 5+ years experience with SQL, including data mining, ETL, and using databases in a business environment with large-scale, complex datasets
• 5+ years experience with data visualization using QuickSight, Tableau, PowerBI, or similar tools (QuickSight preferred)
• Proficiency with Microsoft Excel and/or Smartsheet
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or equivalent quantitative field

Preferred Qualifications

• Proficiency with Smartsheet Premium Features (DataTable, Dynamic View, Data Shuttle, Salesforce Connector, etc.)
• Experience with CRMs (Salesforce preferred – SOQL/Lightning report opportunities)
• Experience with scripting languages for data processing and modeling (e.g., Python)
• Experience with statistical analysis packages such as R, SAS, or Matlab
• Experience analyzing and interpreting data using Redshift, Oracle, NoSQL etc.
• Experience in construction or engineering industries
• Experience in technical documentation, including maintaining SOPs, learning & training documentation, user best-practice guides, and PR/FAQs
• Experience with Geo-spatial analytics and software (e.g., ArcGIS)