Data Scientist – Business Intelligence (Decision Science Focus)

Responsibilities

• Own end-to-end BI solutions, including data modeling, pipelines, semantic layers, and reporting using Microsoft Fabric, Power BI, and Snowflake
• Design and deliver high-impact dashboards and self-service analytics that serve as the single source of truth for business performance across stakeholders
• Partner with product managers, finance, and operations as a decision advisor, translating business questions into structured analytical approaches
• Integrate and analyze data from enterprise systems such as Salesforce, ERP platforms, and other internal and external sources to create unified business views
• Perform deep-dive analysis to identify drivers of revenue, growth, margin, and product adoption
• Identify business inflection points, risks, and opportunities, and communicate clear recommendations
• Define and standardize KPIs, metrics, and data definitions to align teams on a consistent view of performance
• Improve data quality, governance, and consistency across the BI ecosystem
• Translate complex analysis into clear, compelling business narratives for technical and non-technical audiences
• Apply AI and generative AI tools — including AI capabilities within Microsoft Fabric, Power BI, and Snowflake — to accelerate exploratory analysis, surface patterns at scale, and enhance the quality of business narratives delivered to stakeholders

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or a related field
• 2–5 years of experience in business intelligence, analytics, or applied data science, with demonstrated ability to independently drive projects and influence stakeholders
• Advanced proficiency in Power BI, including data modeling, DAX, and dashboard development
• Experience with modern data platforms such as Microsoft Fabric, Snowflake, Azure Synapse, Databricks, or equivalent
• Strong SQL skills for complex data extraction, transformation, and integration
• Solid understanding of data modeling concepts (e.g., star schema, semantic models) and BI architecture best practices
• Strong business acumen, including understanding of revenue drivers, funnel metrics, customer segmentation, and product performance
• Ability to translate data into actionable insights and communicate effectively with business stakeholders

Preferred Qualifications

• Experience with Python for data analysis
• Familiarity with data pipeline and ETL/ELT tools
• Experience optimizing large-scale datasets and dashboard performance
• Experience working with Salesforce or similar CRM systems, including pipeline or funnel analytics
• Understanding of statistical methods and their application in business contexts
• Familiarity with AI/ML concepts and tools, including generative AI for analytics workflows; experience building predictive models or applying machine learning to business problems is a plus