Data & Analytics Lead

TicketManager•Calabasas, CA

3d•$80,000 - $100,000•Onsite

About The Position

The Data & Analytics Lead is the "intelligence engine" for the entire organization. This role involves managing the Data Lake (AWS or Azure), scaling the Power BI Fabric implementation, and acting as a technical partner for all departments. The ideal candidate is a curious, experimental builder who excels at solving complex problems under tight deadlines and providing rapid insights to the executive team.

Requirements

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)
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”
Technically adaptable and resourceful, with the ability to quickly ramp on new tools across AWS, Azure, and emerging data technologies

Nice To Haves

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)

Responsibilities

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.
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.
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. One day you’re helping Finance with billing reconciliation; the next, you’re helping Support track ticket deflection.
Stay Hungry: Constantly look for better ways to visualize data or automate reporting. We want someone who asks "What if we tried this?" instead of just following a ticket.
AI Integration: Explore how AI features within the Power BI/Fabric ecosystem (like Copilot for Power BI) can be used to speed up our internal workflows.