Data Analytics & BI Specialist — Insightful Dashboards

Bentley University; Waltham (MA); On-site; USD 68,000 - 113,000; Full time

Job summary

Bentley University is seeking a Data Analytics Specialist to translate business needs into data requirements, build trusted reporting, and partner with data engineering to deliver scalable data products. The role combines business analysis, BI development, data modeling, testing, and hands-on engineering support across the analytics delivery lifecycle.

The position may apply statistical, predictive, or machine learning techniques when appropriate, with a focus on reliable data and actionable,

Qualifications

• Bachelor’s degree in a relevant field and 2+ years of data analytics or BI experience.
• Experience translating business needs into technical specifications for reporting and dashboards.
• Hands-on Power BI development, data modeling, and SQL skills.

Responsibilities

• Collaborate with partners to gather and document business, data, and reporting requirements.
• Design and implement reports and interactive dashboards across BI platforms, including Power BI.
• Develop semantic models, calculations, queries, and measures; validate data quality end-to-end.
• Partner with data engineers to refine pipelines and support data governance and security.

Skills

Power BI

DAX

Power Query (M)

SQL

Data modeling

Data governance

Stakeholder interviews

Education

Bachelor’s degree in data analytics, information systems, computer science, statistics, mathematics, economics, or related field

Tools

Azure data services

Microsoft Fabric

Data Lake/Synapse

Git version control

Job description

Bentley University is seeking a Data Analytics Specialist to translate business needs into data requirements, build trusted reporting, and partner with data engineering to deliver scalable data products. The role combines business analysis, BI development, data modeling, testing, and hands-on engineering support across the analytics delivery lifecycle.

The position may apply statistical, predictive, or machine learning techniques when appropriate, with a focus on reliable data and actionable,