Power BI Data Analyst – Dashboards, ETL & SQL

State Street; Quincy (MA); Vor Ort; USD 65.000 - 90.000; Vollzeit

Zusammenfassung

State Street is hiring an entry-level Power BI Analytics Developer to join the Global Technology Services Control Tower. You will design dashboards, build data models, and perform ETL to turn data into actionable insights.

The role emphasizes collaboration with stakeholders, developing scalable data solutions, and maintaining documentation while learning a broad tech stack including DAX, Python, SQL, and Azure.

Qualifikationen

• Portfolio with examples using nonconfidential data demonstrating analysis skills.
• Some experience with Microsoft Power BI, DAX, Power Query, M, ETL, Python, PySpark, and SQL.
• Bachelor's degree in data analytics, data science, computer science, or equivalent.

Aufgaben

• Design, develop, and maintain interactive Power BI dashboards and reports communicating KPIs and insights.
• Build semantic data models with relationships, calculated columns, and measures using DAX.
• Perform ETL using Python and Power Query (M).
• Consolidate data from SQL databases, Azure, Excel, and other sources into reliable datasets.
• Tune data models and DAX for performance and user experience.
• Implement and manage Row Level Security (RLS) and govern Power BI workspaces and apps.
• Collaborate with stakeholders to translate needs into analytical solutions and deliver insights.
• Document data models, transformation logic, report definitions, and procedures.

Kenntnisse

Power BI

DAX

Power Query

M

Python

SQL

PySpark

ETL

Ausbildung

Bachelor's degree in data analytics / data science / CS

Tools

Azure

Excel

RLS

Jobbeschreibung

State Street is hiring an entry-level Power BI Analytics Developer to join the Global Technology Services Control Tower. You will design dashboards, build data models, and perform ETL to turn data into actionable insights.

The role emphasizes collaboration with stakeholders, developing scalable data solutions, and maintaining documentation while learning a broad tech stack including DAX, Python, SQL, and Azure.