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Data & Analytics Lead
Ticketmanager · Calabasas, CA · On Site · Active · JazzHR / ApplyToJob
Job facts
| Field | Value |
|---|---|
| Company | Ticketmanager |
| Title | Data & Analytics Lead |
| Normalized title | - |
| Department / team | - |
| Location | Calabasas, CA, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | USD |
| Status | active |
| ATS provider | JazzHR / ApplyToJob |
| Posted / first seen | 2026-05-22 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Ticketmanager. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through JazzHR / ApplyToJob. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Calabasas. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Ticketmanager |
| Source | fc317ed6-74db-46e9-be58-a9a0d5dd4bce |
| ATS provider | JazzHR / ApplyToJob |
Description
Live events are fun.
Concerts, sporting events, and festivals create memorable lifelong experiences with clients, prospects, partners, friends, and family—and they drive real business impact.
Companies spend more than $600 billion each year on client entertainment. TicketManager is the enterprise platform they trust to source, manage, track, and report on live event tickets and hospitality—while maintaining compliance, control, and visibility across the organization.
Built at the intersection of live events, technology, and enterprise operations, TicketManager makes client entertainment easy and measurable. Our industry-leading software supports everything from invitations and event execution to post-event reporting, helping companies clearly prove ROI and strengthen relationships through unforgettable experiences.
TicketManager is trusted by thousands of global brands, including Anheuser-Busch, Verizon, American Express, Nike, and Visa, as well as Fortune 500 companies, professional sports leagues, and major organizations such as the NBA, NFL, NCAA, and NASCAR.
We’re also proud to partner with some of the most iconic teams and venues in sports and entertainment, including the New York Jets, Philadelphia Eagles and Phillies, Capital One Arena, Texas Rangers, LAFC, and Seattle Seahawks, along with more than 50 professional and collegiate teams, franchises, universities, and technology providers.
Why Work at TicketManager
At TicketManager, you’ll help build technology that brings people together through live experiences—while solving complex, real-world problems for the world’s best companies. We’re a fast-growing, profitable company that values ownership, collaboration, and excellence, and we’re building a team that’s passionate about making work impactful and fun.
If you’re excited about live events, cutting-edge technology, and doing work that truly matters, you’ll feel right at home here.
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 Work Expectations : 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. Recognition: Inc. 5000 fastest-growing private company by Inc. Magazine six years in a row. Recognized as one of the Best Places to Work by Inc. Magazine, The LA Business Journal, and Sports Business Journal 4.5 out of 5 Glassdoor rating Used by over 4,000 globally known companies including ~15% of the Fortune 500
Full job record
| Job ID | 38ee675ed86aef9919dadf626d36394d29db1e1f |
| Org ID | 74681686-6817-4cfb-a784-fa023200af11 |
| Source ID | fc317ed6-74db-46e9-be58-a9a0d5dd4bce |
| Board ID | fc317ed6-74db-46e9-be58-a9a0d5dd4bce |
| Provider | jazzhr |
| Provider Job Key | N4FLJBZh4B |
| Title | Data & Analytics Lead |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Calabasas, CA |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | Calabasas |
| Salary Raw | USD |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ticketmanager.applytojob.com/apply/N4FLJBZh4B/Data-Analytics-Lead |
| Apply URL | https://ticketmanager.applytojob.com/apply/N4FLJBZh4B/Data-Analytics-Lead |
| First Seen At | 2026-05-30 06:12:02Z |
| Last Seen At | 2026-06-06 10:52:55Z |
| Last Checked At | 2026-06-06 10:52:55Z |
| Last Changed At | 2026-05-30 06:12:02Z |
| Inactive At | — |
| Source Posted At | 2026-05-22 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=jazzhr/board=ticketmanager/date=2026-06-06/2026-06-06T10-52-54-807Z-d5bcbb26122c9c07040fc8bba284642fd09cb47e737e7d0e5358daeaec14f1dc.json |
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"description_html": "Live events are fun. <br><br>Concerts, sporting events, and festivals create memorable lifelong experiences with clients, prospects, partners, friends, and family—and they drive real business impact.<br><br>Companies spend more than $600 billion each year on client entertainment. TicketManager is the enterprise platform they trust to source, manage, track, and report on live event tickets and hospitality—while maintaining compliance, control, and visibility across the organization.<br><br>Built at the intersection of live events, technology, and enterprise operations, TicketManager makes client entertainment easy and measurable. Our industry-leading software supports everything from invitations and event execution to post-event reporting, helping companies clearly prove ROI and strengthen relationships through unforgettable experiences.<br><br>TicketManager is trusted by thousands of global brands, including Anheuser-Busch, Verizon, American Express, Nike, and Visa, as well as Fortune 500 companies, professional sports leagues, and major organizations such as the NBA, NFL, NCAA, and NASCAR.<br><br>We’re also proud to partner with some of the most iconic teams and venues in sports and entertainment, including the New York Jets, Philadelphia Eagles and Phillies, Capital One Arena, Texas Rangers, LAFC, and Seattle Seahawks, along with more than 50 professional and collegiate teams, franchises, universities, and technology providers.<br><br><b>Why Work at TicketManager</b><br><br>At TicketManager, you’ll help build technology that brings people together through live experiences—while solving complex, real-world problems for the world’s best companies. We’re a fast-growing, profitable company that values ownership, collaboration, and excellence, and we’re building a team that’s passionate about making work impactful and fun.<br><br>If you’re excited about live events, cutting-edge technology, and doing work that truly matters, you’ll feel right at home here.<br><br><b>The Role: </b><br><br><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">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.</span></span></span><br><br><b>Responsibilities:</b><br><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Power BI & Fabric Power-User</span></b></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">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.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">New Development: Rapidly build and deploy new dashboards that track emerging business initiatives across the organization.</span></span></span></li><li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Deep-Dive DAX: Write and troubleshoot complex DAX and Power Query (M) to ensure our metrics are accurate and performant.</span></span></span></li></ul><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Data Lake Architecture & Management</span></b></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Lake Ownership: Manage and optimize our Data Lake environment (AWS or Azure). Ensure data is clean, accessible, and structured for high-performance reporting.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Cross-Org Integration: Ingest data from disparate sources (Dynamics, Zendesk, Atlassian, and application data) into a unified layer that allows for cross-departmental analysis.</span></span></span></li><li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Experimental Engineering: Be open to testing new tools, connectors, or AI-driven data processing methods to find the most efficient path to an answer.</span></span></span></li></ul><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">High-Velocity Ad-Hoc Analysis</span></b></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">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.</span></span></span></li><li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">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.</span></span></span></li></ul><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Curiosity & Experimentation</span></b></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">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.</span></span></span></li><li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">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.</span></span></span></li></ul><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Desired Skills and Experience: </span></b></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Bachelor’s degree required (Computer Science, Mathematics, Statistics, or related field preferred)</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">3–5 years of experience in a data analytics, BI, or data engineering-adjacent role</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Expert-level proficiency in Power BI, including advanced DAX, Power BI Service administration, and experience with Microsoft Fabric and/or Lakehouse architecture</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Strong hands-on experience with cloud-based data platforms, including AWS (S3, Redshift) and/or Azure (Data Lake, Synapse)</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Advanced SQL expertise with the ability to write complex queries across large, disparate, and legacy datasets</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Demonstrated ability to identify trends, anomalies, and data quality issues proactively (strong analytical and statistical intuition)</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Experience in logistics, sports/entertainment, or high-growth SaaS environments strongly preferred</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Proficiency in Python or R for advanced data manipulation and analysis preferred</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Portfolio or examples of impactful dashboard design that go beyond standard BI reporting (emphasis on storytelling and usability)</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Comfortable working in fast-paced, in-office environments that require real-time collaboration and rapid iteration</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Able to prioritize speed and business needs in time-sensitive situations, balancing “good enough now” vs. “perfect later”</span></span></span></span></li><li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Technically adaptable and resourceful, with the ability to quickly ramp on new tools across AWS, Azure, and emerging data technologies</span></span></span></span></li></ul><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">TicketManager Highlights:</span></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Compensation:</span></b></span></span> $80,000–$100,000 base salary + Variable Compensation</li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Location: </span></b><span style=\"line-height:107%;\">Calabasas, CA (HQ), New York City, NY, or Mesa, AZ</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Reports to:</span></b><span style=\"line-height:107%;\"> COO</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Work</span></b><span style=\"line-height:107%;\"> <b>Expectations</b>: Role is In-Office, Monday-Friday </span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Retirement: </span></b><span style=\"line-height:107%;\">401(k) & Company Match</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Health Benefits</span></b><span style=\"line-height:107%;\">: Medical, Dental, Vision & Chiropractic</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Time Off: </span></b><span style=\"line-height:107%;\">Unlimited PTO</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Interview Process: </span></b><span style=\"line-height:107%;\">Multistage interview process with senior leaders across TicketManager to ensure strong alignment on role scope and expectations.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Events: </span></b><span style=\"line-height:107%;\">Quarterly live event credits (we practice what we preach!), monthly happy hours, and volunteering</span> </span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Perks: </span></b><span style=\"line-height:107%;\">Fun, collaborative, in-office culture at our HQ with catered lunches and big company perks with the autonomy of a high-growth startup.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Recognition: </span></b><span style=\"line-height:107%;\">Inc. 5000 fastest-growing private company by Inc. Magazine six years in a row. Recognized as one of the Best Places to Work by Inc. Magazine, The LA Business Journal, and Sports Business Journal </span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">4.5 out of 5 Glassdoor rating</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Used by over 4,000 globally known companies including ~15% of the Fortune 500</span></span></span></li></ul>",
"description_text": "Live events are fun.\nConcerts, sporting events, and festivals create memorable lifelong experiences with clients, prospects, partners, friends, and family—and they drive real business impact.\nCompanies spend more than $600 billion each year on client entertainment. TicketManager is the enterprise platform they trust to source, manage, track, and report on live event tickets and hospitality—while maintaining compliance, control, and visibility across the organization.\nBuilt at the intersection of live events, technology, and enterprise operations, TicketManager makes client entertainment easy and measurable. Our industry-leading software supports everything from invitations and event execution to post-event reporting, helping companies clearly prove ROI and strengthen relationships through unforgettable experiences.\nTicketManager is trusted by thousands of global brands, including Anheuser-Busch, Verizon, American Express, Nike, and Visa, as well as Fortune 500 companies, professional sports leagues, and major organizations such as the NBA, NFL, NCAA, and NASCAR.\nWe’re also proud to partner with some of the most iconic teams and venues in sports and entertainment, including the New York Jets, Philadelphia Eagles and Phillies, Capital One Arena, Texas Rangers, LAFC, and Seattle Seahawks, along with more than 50 professional and collegiate teams, franchises, universities, and technology providers.\n Why Work at TicketManager\nAt TicketManager, you’ll help build technology that brings people together through live experiences—while solving complex, real-world problems for the world’s best companies. We’re a fast-growing, profitable company that values ownership, collaboration, and excellence, and we’re building a team that’s passionate about making work impactful and fun.\nIf you’re excited about live events, cutting-edge technology, and doing work that truly matters, you’ll feel right at home here.\n The Role:\n 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.\n Responsibilities:\n 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.\n New Development: Rapidly build and deploy new dashboards that track emerging business initiatives across the organization.\n Deep-Dive DAX: Write and troubleshoot complex DAX and Power Query (M) to ensure our metrics are accurate and performant.\n 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.\n Cross-Org Integration: Ingest data from disparate sources (Dynamics, Zendesk, Atlassian, and application data) into a unified layer that allows for cross-departmental analysis.\n Experimental Engineering: Be open to testing new tools, connectors, or AI-driven data processing methods to find the most efficient path to an answer.\n 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.\n 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.\n 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.\n 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.\n Desired Skills and Experience: Bachelor’s degree required (Computer Science, Mathematics, Statistics, or related field preferred)\n 3–5 years of experience in a data analytics, BI, or data engineering-adjacent role\n Expert-level proficiency in Power BI, including advanced DAX, Power BI Service administration, and experience with Microsoft Fabric and/or Lakehouse architecture\n Strong hands-on experience with cloud-based data platforms, including AWS (S3, Redshift) and/or Azure (Data Lake, Synapse)\n Advanced SQL expertise with the ability to write complex queries across large, disparate, and legacy datasets\n Demonstrated ability to identify trends, anomalies, and data quality issues proactively (strong analytical and statistical intuition)\n Experience in logistics, sports/entertainment, or high-growth SaaS environments strongly preferred\n Proficiency in Python or R for advanced data manipulation and analysis preferred\n Portfolio or examples of impactful dashboard design that go beyond standard BI reporting (emphasis on storytelling and usability)\n Comfortable working in fast-paced, in-office environments that require real-time collaboration and rapid iteration\n Able to prioritize speed and business needs in time-sensitive situations, balancing “good enough now” vs. “perfect later”\n Technically adaptable and resourceful, with the ability to quickly ramp on new tools across AWS, Azure, and emerging data technologies\n TicketManager Highlights: Compensation: $80,000–$100,000 base salary + Variable Compensation\n Location: Calabasas, CA (HQ), New York City, NY, or Mesa, AZ\n Reports to: COO\n Work Expectations : Role is In-Office, Monday-Friday\n Retirement: 401(k) & Company Match\n Health Benefits : Medical, Dental, Vision & Chiropractic\n Time Off: Unlimited PTO\n Interview Process: Multistage interview process with senior leaders across TicketManager to ensure strong alignment on role scope and expectations.\n Events: Quarterly live event credits (we practice what we preach!), monthly happy hours, and volunteering\n Perks: Fun, collaborative, in-office culture at our HQ with catered lunches and big company perks with the autonomy of a high-growth startup.\n Recognition: Inc. 5000 fastest-growing private company by Inc. Magazine six years in a row. Recognized as one of the Best Places to Work by Inc. Magazine, The LA Business Journal, and Sports Business Journal\n 4.5 out of 5 Glassdoor rating\n Used by over 4,000 globally known companies including ~15% of the Fortune 500",
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"description": "Live events are fun. <br><br>Concerts, sporting events, and festivals create memorable lifelong experiences with clients, prospects, partners, friends, and family—and they drive real business impact.<br><br>Companies spend more than $600 billion each year on client entertainment. TicketManager is the enterprise platform they trust to source, manage, track, and report on live event tickets and hospitality—while maintaining compliance, control, and visibility across the organization.<br><br>Built at the intersection of live events, technology, and enterprise operations, TicketManager makes client entertainment easy and measurable. Our industry-leading software supports everything from invitations and event execution to post-event reporting, helping companies clearly prove ROI and strengthen relationships through unforgettable experiences.<br><br>TicketManager is trusted by thousands of global brands, including Anheuser-Busch, Verizon, American Express, Nike, and Visa, as well as Fortune 500 companies, professional sports leagues, and major organizations such as the NBA, NFL, NCAA, and NASCAR.<br><br>We’re also proud to partner with some of the most iconic teams and venues in sports and entertainment, including the New York Jets, Philadelphia Eagles and Phillies, Capital One Arena, Texas Rangers, LAFC, and Seattle Seahawks, along with more than 50 professional and collegiate teams, franchises, universities, and technology providers.<br><br><b>Why Work at TicketManager</b><br><br>At TicketManager, you’ll help build technology that brings people together through live experiences—while solving complex, real-world problems for the world’s best companies. We’re a fast-growing, profitable company that values ownership, collaboration, and excellence, and we’re building a team that’s passionate about making work impactful and fun.<br><br>If you’re excited about live events, cutting-edge technology, and doing work that truly matters, you’ll feel right at home here.<br><br><b>The Role: </b><br><br><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">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.</span></span></span><br><br><b>Responsibilities:</b><br><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Power BI & Fabric Power-User</span></b></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">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.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">New Development: Rapidly build and deploy new dashboards that track emerging business initiatives across the organization.</span></span></span></li><li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Deep-Dive DAX: Write and troubleshoot complex DAX and Power Query (M) to ensure our metrics are accurate and performant.</span></span></span></li></ul><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Data Lake Architecture & Management</span></b></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Lake Ownership: Manage and optimize our Data Lake environment (AWS or Azure). Ensure data is clean, accessible, and structured for high-performance reporting.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Cross-Org Integration: Ingest data from disparate sources (Dynamics, Zendesk, Atlassian, and application data) into a unified layer that allows for cross-departmental analysis.</span></span></span></li><li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Experimental Engineering: Be open to testing new tools, connectors, or AI-driven data processing methods to find the most efficient path to an answer.</span></span></span></li></ul><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">High-Velocity Ad-Hoc Analysis</span></b></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">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.</span></span></span></li><li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">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.</span></span></span></li></ul><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Curiosity & Experimentation</span></b></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">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.</span></span></span></li><li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">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.</span></span></span></li></ul><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Desired Skills and Experience: </span></b></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Bachelor’s degree required (Computer Science, Mathematics, Statistics, or related field preferred)</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">3–5 years of experience in a data analytics, BI, or data engineering-adjacent role</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Expert-level proficiency in Power BI, including advanced DAX, Power BI Service administration, and experience with Microsoft Fabric and/or Lakehouse architecture</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Strong hands-on experience with cloud-based data platforms, including AWS (S3, Redshift) and/or Azure (Data Lake, Synapse)</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Advanced SQL expertise with the ability to write complex queries across large, disparate, and legacy datasets</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Demonstrated ability to identify trends, anomalies, and data quality issues proactively (strong analytical and statistical intuition)</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Experience in logistics, sports/entertainment, or high-growth SaaS environments strongly preferred</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Proficiency in Python or R for advanced data manipulation and analysis preferred</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Portfolio or examples of impactful dashboard design that go beyond standard BI reporting (emphasis on storytelling and usability)</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Comfortable working in fast-paced, in-office environments that require real-time collaboration and rapid iteration</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Able to prioritize speed and business needs in time-sensitive situations, balancing “good enough now” vs. “perfect later”</span></span></span></span></li><li style=\"margin-bottom:11px;margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"page-break-after:avoid;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Technically adaptable and resourceful, with the ability to quickly ramp on new tools across AWS, Azure, and emerging data technologies</span></span></span></span></li></ul><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">TicketManager Highlights:</span></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Compensation:</span></b></span></span> $80,000–$100,000 base salary + Variable Compensation</li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Location: </span></b><span style=\"line-height:107%;\">Calabasas, CA (HQ), New York City, NY, or Mesa, AZ</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Reports to:</span></b><span style=\"line-height:107%;\"> COO</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Work</span></b><span style=\"line-height:107%;\"> <b>Expectations</b>: Role is In-Office, Monday-Friday </span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Retirement: </span></b><span style=\"line-height:107%;\">401(k) & Company Match</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Health Benefits</span></b><span style=\"line-height:107%;\">: Medical, Dental, Vision & Chiropractic</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Time Off: </span></b><span style=\"line-height:107%;\">Unlimited PTO</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Interview Process: </span></b><span style=\"line-height:107%;\">Multistage interview process with senior leaders across TicketManager to ensure strong alignment on role scope and expectations.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Events: </span></b><span style=\"line-height:107%;\">Quarterly live event credits (we practice what we preach!), monthly happy hours, and volunteering</span> </span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Perks: </span></b><span style=\"line-height:107%;\">Fun, collaborative, in-office culture at our HQ with catered lunches and big company perks with the autonomy of a high-growth startup.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><b><span style=\"line-height:107%;\">Recognition: </span></b><span style=\"line-height:107%;\">Inc. 5000 fastest-growing private company by Inc. Magazine six years in a row. Recognized as one of the Best Places to Work by Inc. Magazine, The LA Business Journal, and Sports Business Journal </span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">4.5 out of 5 Glassdoor rating</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Used by over 4,000 globally known companies including ~15% of the Fortune 500</span></span></span></li></ul>",
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