Power BI Developer

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 1 Year(s)

Skills

Power BI Developer
Data Modeling
Analytical
SQL
Tableau
DataStage
Dataiku
AFS
DAX
Power Query
Data Visualization
Data Warehousing Concepts
ETL
Azure

Job Details

Power BI Developer / Data Engineer

Contract

Cincinnati , OH Need Onsite

Direct Client

MUST HAVE SKILLS

  1. Power BI 3-4 years
  2. Data Modeling
  3. Analytical
  4. SQL, 3-5 years
  5. Tableau
  6. Able to run meetings
  7. Problem Solving and Critical Thinking

Job Description:

NICE TO HAVE SKILLS/Experience

DataStage

Dataiku

AFS system application (AFS Level III or Vision)

MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience.

Strong communication skills- Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group.

Excellent analytical and problem-solving skills when resolving data related issues or designing new solutions

Experienced in SDLC and can assist in Project Management. Able to understand release management protocols and manage important tasks for implementation.

Power BI Proficiency: Deep knowledge and experience with Microsoft Power BI, including:

Data Modeling: Designing and building data models within Power BI, understanding relationships, and optimizing performance.

DAX (Data Analysis Expressions): Writing complex DAX formulas to perform calculations, define measures, and create derived columns.

Power Query (M Language): Using Power Query to connect to various data sources, transform, and clean data.

Report & Dashboard Design: Creating visually appealing, user-friendly, and informative reports and dashboards that effectively communicate insights.

Data Visualization: Choosing appropriate chart types, designing layouts, and effectively presenting data through compelling visualizations.

SQL: Strong understanding of SQL for querying databases, extracting data, and data manipulation.

Data Warehousing Concepts: Familiarity with data warehousing principles, star schemas, snowflake schemas, and ETL processes.

Data Sources: Experience connecting to and working with a variety of data sources (e.g., SQL Server, Excel, Azure SQL Database, cloud-based data sources).

Performance Optimization: Ability to identify and resolve performance issues in Power BI reports and data models.

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.

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