Our client, a leading organization in the financial services sector, is seeking a Director-level Power BI & Python Developer with deep expertise in Microsoft Fabric, advanced analytics, and data visualization. This is a full-time, regular employment opportunity based in Newark, NJ, offering the chance to play a strategic role in shaping business intelligence and data-driven decision-making across the enterprise.

In this role, you will work closely with senior business leaders and cross-functional teams to design and deploy modern reporting tools and data science-driven solutions. The ideal candidate brings a blend of strong technical ability, leadership experience, and deep understanding of analytics within a financial or asset management environment.

Key Responsibilities:

Develop and implement advanced Power BI dashboards, models, and reporting solutions to support business units with actionable insights.

Leverage Python for data manipulation, statistical modeling, and machine learning to enhance reporting accuracy and predictability.

Utilize the Microsoft Fabric platform to optimize data workflows, processing, and storage architecture.

Partner with stakeholders across departments (e.g., Marketing, IT, Product) to gather requirements and deliver scalable BI solutions.

Build reporting assets using tools such as Fabric Notebooks, Analyze in Excel, and reusable templates.

Maintain robust BI infrastructure, ensuring high availability, security, and performance.

Mentor junior developers and analysts, guiding best practices across data science and BI development.

Stay current on emerging analytics and data visualization technologies to improve BI strategy.

Conduct complex data analysis to identify patterns, trends, and actionable recommendations.

Maintain detailed documentation of reports, models, and analytical processes.

Ideal Candidate Profile:

Bachelors degree in Data Science, Computer Science, Mathematics, Statistics, or related field (or equivalent experience).

10+ years of experience in business intelligence, data analytics, or data science roles.

7+ years of hands-on Python programming for statistical and predictive analytics.

Proven expertise in Power BI development including DAX, data modeling, and performance optimization.

Strong SQL skills with experience in data modeling and working with relational databases.

Solid understanding of data pipelines, architecture, and cloud-based data solutions (Azure is a plus).

Experience working with financial, investment, or portfolio-related data strongly preferred.

Knowledge of statistical modeling techniques such as regression analysis, A/B testing, and data distributions.

Exceptional communication skills, with the ability to translate complex data into business-friendly insights.

Demonstrated experience leading or delivering complex, fast-paced BI and data science initiatives.