Analytics Engineer

Tickpick • New York, NY

276d • $110,000 - $125,000 • Remote

About The Position

TickPick is a leading North American ticket marketplace that has offered all-in pricing on tickets since its inception in 2011, saving customers over $180M in service fees alone. We are looking for an Analytics Engineer to help our marketplace business continue to innovate and grow. An ideal candidate will have professional experience building data models using tools like dbt, and business intelligence and data visualization experience with Omni or Looker. We are looking for an individual who has experience automating business processes, such as those for Accounting and Finance functions. You should have a curious mind and an interest in how a marketplace business optimizes its growth, with a vision for how to ensure innovation, transparency, and cost-effectiveness at scale. If you are looking to join a growing team within a growing company that's making data a priority, this is the role for you. You'll have the opportunity to touch many aspects of the business.

Requirements

• BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science.
• 3+ years of experience in analytics engineering, including data modeling, business intelligence, and related areas.
• Experience working with a modern data stack (eg. Snowflake + dbt + Looker).
• Strong planning, communication, and problem-solving skills.

Nice To Haves

• Interest in marketplace businesses.
• Proficient in one or more programming languages, such as Python.
• An understanding of how to automate manual business processes, including those involving Accounting/Finance.
• Experience using analytical approaches to problem-solving with large volumes of data.
• Experience with orchestrators like Dagster, Airflow, or Prefect.
• Comfortable working in Git and managing version control in a collaborative, code-first environment.

Responsibilities

• Develop an expertise with our existing data model, extend and refine it as the business grows.
• Build trusted, intuitive pipelines and datasets that make it easy for stakeholders to explore and analyze data.
• Create clear, actionable dashboards and visualizations that help users make informed decisions and track KPIs.
• Identify opportunities to automate manual processes, especially those around finance reporting and accounting reconciliations.
• Analyze large volumes of transactional data, uncovering potential areas to maximize efficiency and enable continued growth.

Benefits

• A hybrid in-office approach, enabling remote work a portion of each week
• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan Contribution (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Holidays)
• Family Leave (Maternity, Paternity)
• Training & Development
• $100 Monthly Stipend to Attend Live Events
• Employee Outings
• Free Lunch & Snacks

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Performing Arts, Spectator Sports, and Related Industries
• Education Level: Bachelor's degree