Data Analytics Engineer

2 weeks ago


Baltimore, Maryland, United States Randstad USA Full time
Job Title: BI Analytics Engineer

We are seeking a highly skilled and motivated BI Analytics Engineer to join our dynamic team. As a key contributor, you will be responsible for assisting with the creation of automated data extractions, transformations, and loads (ETL) between various software systems managed by the client Equipment division.

Key Responsibilities:

  • Assist with creating automated data extractions, transformations, and loads (ETL) between various software systems managed by the Equipment division.
  • Assist with ETL from Equipment division software systems and our Data Warehouse (Microsoft Fabric Platform).
  • Create Dashboards using Microsoft PowerBI for enhanced business insights and decision making for the Equipment division leaders.
  • Assist with the development of predictive analytics resources based on data in our Data Warehouse.

Requirements:

  • Excellent verbal and written communication skills.
  • Must be onsite 3 days/week at: 300 E Joppa Rd Ste 800, Baltimore, Maryland 21286.
  • 5+ years of Experience in the Analytical Reporting and Dashboarding.
  • 5+ years of Experience in Data Management and Pipelining (ETL).
  • 5+ years of Experience in Data Analysis.
  • 5+ Years of Experience in SQL Database Programming.
  • Strong Knowledge of Microsoft Power Platforms (PowerBI, Power Automate, Power Apps).
  • Enterprise Data Governance experience (Microsoft Purview Preferred).
  • Experience with data concepts, large data architectures and systems engineering towards data-centric solutions.
  • Experience working with cloud platforms (Azure) to leverage cloud services for scalable and flexible data solutions.
  • Excellent customer service skills.
  • Strong technical, analytical, and problem-solving skills.

Preferred Skills & Experience:

  • Knowledge of construction industry (preferred).
  • Experience with Azure Data Factory (preferred).
  • Should have experience working in Agile methodology.
  • Oracle.

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