Data & Analytics Lead

TicketManager

$80K — $100K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in relevant field (Computer Science, Mathematics, Statistics) required.
  • 3-5 years of experience in data analytics or business intelligence-related roles.
  • Expert-level proficiency in Power BI, including advanced DAX and Power BI Service administration.
  • Strong hands-on experience with AWS or Azure data platforms, including Data Lake.
  • Advanced SQL expertise for querying large and diverse datasets.
  • Ability to proactively identify trends and data quality issues through strong analytical skills.
  • Experience in logistics, sports/entertainment, or high-growth SaaS environments preferred.

Responsibilities

  • Take ownership of and optimize our mature Power BI environment.
  • Rapidly build and deploy dashboards for new business initiatives.
  • Write and troubleshoot complex DAX and Power Query for accurate metrics.
  • Manage and optimize our Data Lake for high-performance reporting.
  • Ingest data from various sources for unified cross-departmental analysis.
  • Act as the primary point of contact for quick questions from leadership.
  • Explore new tools and AI features to streamline data processing.

Benefits

  • 401(k) with company match
  • Comprehensive health benefits: Medical, Dental, Vision & Chiropractic
  • Unlimited PTO policy
  • Engaging in-office culture with fun events and catered lunches
  • Opportunities for team bonding through quarterly events and monthly happy hours
Full Job Description
The Role:

The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already a heavy Power BI shop; your mission is to take our existing footprint to the next level. You will manage our Data Lake (AWS or Azure), scale our Power BI Fabric implementation, and act as a high-speed technical partner for every department-from Sales to Fulfillment. This is a role for a curious, experimental builder who loves solving complex puzzles under tight deadlines and providing the "speed to insight" that keeps our executive team moving.

Responsibilities:
Power BI & Fabric Power-User
  • 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. One day you're helping Finance with billing reconciliation; the next, you're helping Support track ticket deflection.
Curiosity & Experimentation
  • 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.
Desired Skills and Experience:
  • 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"
  • Technically adaptable and resourceful, with the ability to quickly ramp on new tools across AWS, Azure, and emerging data technologies
TicketManager Highlights:
  • Compensation: $80,000-$100,000 base salary + Variable Compensation
  • Location: Calabasas, CA (HQ), New York City, NY, or Mesa, AZ
  • Reports to: COO
  • WorkExpectations: Role is In-Office, Monday-Friday
  • Retirement: 401(k) & Company Match
  • Health Benefits: Medical, Dental, Vision & Chiropractic
  • Time Off: Unlimited PTO
  • Interview Process: Multistage interview process with senior leaders across TicketManager to ensure strong alignment on role scope and expectations.
  • Events: Quarterly live event credits (we practice what we preach!), monthly happy hours, and volunteering
  • Perks: Fun, collaborative, in-office culture at our HQ with catered lunches and big company perks with the autonomy of a high-growth startup.

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