Data & Analytics Lead

Responsibilities

• Power BI & Fabric
• Advance the Stack: Take ownership of a mature Power BI environment.
• Optimize existing dashboards for performance and design "next-gen" visualizations in Power BI Fabric.
• New Development: Rapidly build and deploy new dashboards that track emerging business initiatives across the organization.
• Deep-Dive DAX: Write and troubleshoot complex DAX and Power Query (M) to ensure our metrics are accurate and performant.
• Data Lake Architecture & Management
• Lake Ownership: Manage and optimize our Data Lake environment (AWS or Azure).
• Ensure data is clean, accessible, and structured for high-performance reporting.
• Cross-Org Integration: Ingest data from disparate sources (Dynamics, Zendesk, Atlassian, and application data) into a unified layer that allows for cross-departmental analysis.
• Experimental Engineering: Be open to testing new tools, connectors, or AI-driven data processing methods to find the most efficient path to an answer.
• High-Velocity Ad-Hoc Analysis
• The "Human API": Act as the primary point of contact for "quick questions" from leadership.
• You must be able to pivot from a long-term project to a 30-minute deep-dive to answer a pressing business question.
• Cross-Departmental Projects: Manage a rotating queue of projects from different teams.

Qualifications

• Bachelor’s degree required (Computer Science, Mathematics, Statistics, or related field preferred)
• 3–5 years of experience in a data analytics, BI, or data engineering-adjacent role
• Expert-level proficiency in Power BI, including advanced DAX, Power BI Service administration, and experience with Microsoft Fabric and/or Lakehouse architecture
• Strong hands-on experience with cloud-based data platforms, including AWS (S3, Redshift) and/or Azure (Data Lake, Synapse)
• Advanced SQL expertise with the ability to write complex queries across large, disparate, and legacy datasets
• Demonstrated ability to identify trends, anomalies, and data quality issues proactively (strong analytical and statistical intuition)
• Experience in logistics, sports/entertainment, or high-growth SaaS environments strongly preferred
• Proficiency in Python or R for advanced data manipulation and analysis preferred
• Portfolio or examples of impactful dashboard design that go beyond standard BI reporting (emphasis on storytelling and usability)
• Comfortable working in fast-paced, in-office environments that require real-time collaboration and rapid iteration
• Able to prioritize speed and business needs in time-sensitive situations, balancing “good enough now” vs. “perfect later”
• Techically adaptable and resourceful, with the ability to quickly ramp on new tools across AWS, Azure, and emerging data technologies