Job Description
Job Title: Power BI Developer with Data Science experience Location: Richmond, VA (100% Onsite role from day 1) & Need local profiles ONLY Duration: 6+ Month Experience: 8-12 Years Skill (Primary): Data Fabric-Self-Service BI-Microsoft PowerBI. Job Description: We are seeking a highly skilled and motivated Power BI Developer with a strong foundation in data science to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining interactive and insightful Power BI dashboards and reports that provide valuable business intelligence to key stakeholders across the organization. You will leverage your data science expertise to transform raw data into meaningful insights and drive data-driven decision-making.
Qualifications: - 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.
- 3+ years of experience with data warehousing concepts and ETL processes.
- Experience in Power BI administration is a plus.
- Strong understanding of statistical concepts, machine learning algorithms (e.g., regression, classification, clustering), and data mining techniques.
- Proficiency in Python, SQL, and DAX. Experience with other programming languages (e.g., R) is a plus.
Responsibilities: Power BI Development: - Design and develop interactive and visually appealing Power BI dashboards and reports.
- Design and develop professional-grade Power BI Paginated Reports.
- Create DAX measures and calculations for complex data analysis.
- Integrate data from various sources into Power BI models.
- Optimize Power BI reports for performance and scalability.
- Develop and maintain data pipelines and ETL processes.
- Effectively communicate data insights to business stakeholders through presentations, reports, and visualizations.
- Collaborate with business users to understand their data needs and translate them into actionable insights.
- Provide data-driven recommendations to improve business processes and decision-making.
Data Analysis & Modelling: - Collect, clean, and transform raw data from various sources (e.g., databases, APIs, cloud platforms) using SQL, Python, and other data manipulation tools.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement predictive models (e.g., regression, classification, clustering) using machine learning algorithms.
- Perform statistical analysis and data visualization to uncover meaningful insights.
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