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DATA ANALYTICS ENGINEER

Salary undisclosed

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DATA ANALYTICS ENGINEER

Baltimore, Maryland (Must be onsite 3 days/week)

Duration: 6+ Months Contract to hire

Rate: $50/hr W2(No Benefits)

Required Skills -
Azure Data Factory
Microsoft Power Platforms (PowerBI, Power Automate, Power Apps)
Analytical Reporting and Dashboarding
Data Management and Pipelining (ETL)

Job Duties

  • Assist with creating automated data extractions, transformations, and loads (ETL) between various software systems managed by the Equipment division.
  • Currently this is being managed through manual processes
  • 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

Job Requirements - Required

Excellent verbal and written communication skills
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

Need:

Power BI Dashboard Visualization
Data Model development
Deep Excel Expertise
Back-End understanding to pull data
SQL primarily
Also, they use an Oracle based (on premise) ERP
ETL Process knowledge

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

DATA ANALYTICS ENGINEER

Baltimore, Maryland (Must be onsite 3 days/week)

Duration: 6+ Months Contract to hire

Rate: $50/hr W2(No Benefits)

Required Skills -
Azure Data Factory
Microsoft Power Platforms (PowerBI, Power Automate, Power Apps)
Analytical Reporting and Dashboarding
Data Management and Pipelining (ETL)

Job Duties

  • Assist with creating automated data extractions, transformations, and loads (ETL) between various software systems managed by the Equipment division.
  • Currently this is being managed through manual processes
  • 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

Job Requirements - Required

Excellent verbal and written communication skills
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

Need:

Power BI Dashboard Visualization
Data Model development
Deep Excel Expertise
Back-End understanding to pull data
SQL primarily
Also, they use an Oracle based (on premise) ERP
ETL Process knowledge

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job