Power BI Developer with Data Science

TechDigital Group; Richmond (VA); On-site; USD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled Power BI Developer to create engaging dashboards and reports. This role involves designing interactive visualizations, optimizing performance, and integrating data from various sources. You will leverage your expertise in Python, SQL, and machine learning to provide actionable insights and improve business processes. Join a dynamic team that values innovation and collaboration, where your contributions will directly impact decision-making and drive success. If you are passionate about data and want to make a difference, this opportunity is perfect for you.

Qualifications

• 5+ years in Power BI dashboard/report creation and ETL processes.
• Strong skills in Python, SQL, DAX, and machine learning algorithms.

Responsibilities

• Design and develop interactive Power BI dashboards and reports.
• Collect and transform raw data for analysis and modeling.

Skills

Power BI

Python

SQL

DAX

Machine Learning

Data Warehousing

ETL Processes

Statistical Analysis

Data Mining

Job description

Qualifications:

1. 5+ years of expertise in creating interactive and visually appealing dashboards and reports using Power BI. Proficiency in designing and developing Power BI Paginated Reports.
2. 3+ years of experience with data warehousing concepts and ETL processes.
3. Experience in Power BI administration is a plus.
4. Strong understanding of statistical concepts, machine learning algorithms (e.g., regression, classification, clustering), and data mining techniques.
5. Proficiency in Python, SQL, and DAX. Experience with other programming languages (e.g., R) is a plus.

Responsibilities:

Power BI Development:

1. Design and develop interactive and visually appealing Power BI dashboards and reports.
2. Design and develop professional-grade Power BI Paginated Reports.
3. Create DAX measures and calculations for complex data analysis.
4. Integrate data from various sources into Power BI models.
5. Optimize Power BI reports for performance and scalability.
6. Develop and maintain data pipelines and ETL processes.
7. Effectively communicate data insights to business stakeholders through presentations, reports, and visualizations.
8. Collaborate with business users to understand their data needs and translate them into actionable insights.
9. Provide data-driven recommendations to improve business processes and decision-making.

Data Analysis & Modeling:

1. Collect, clean, and transform raw data from various sources (e.g., databases, APIs, cloud platforms) using SQL, Python, and other data manipulation tools.
2. Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
3. Develop and implement predictive models (e.g., regression, classification, clustering) using machine learning algorithms.
4. Perform statistical analysis and data visualization to uncover meaningful insights.