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Analytics Engineer

Who We Are:

No Hidden Fees. More Savings. Among the fastest growing technology companies, TickPick is reshaping the ticket marketplace industry, putting money back in the wallets of live event-goers. Since our inception, we have saved our customers over $180 million in service fees alone. TickPick's BestPrice Guarantee backs up our promise to deliver better prices than their competition. For more information, visit tickpick.com.

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.

Who You Are:

We’re 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.

Core 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.

  • 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.

Strongly Desired Attributes:

  • 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.
  • 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

The estimated pay range for this role, based in New York City, is $110,000 - $125,000. This role will be eligible to participate in our company's equity program. Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits, and other reward opportunities we provide.

Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.

The range above is for the expectations as laid out in the job description. However, we are often open to a wide variety of profiles and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.

Diversity at TickPick:

At TickPick, we know that diversity of all types, in an environment that pursues equity and inclusion, strengthens our organization's culture. When our employees are representative of the communities we serve, with diversity in demographics and a broad set of backgrounds, we provide a superior experience for both our customers and our employees. Fostering an open and supportive environment where our employees are empowered and encouraged to bring their whole selves to the table enables TickPick to thrive. The diverse approaches and collaborative problem-solving that result enable us to provide an innovative, nimble, and creative marketplace for our customers and sellers. This belief is central to who we are and what we do, and we are proud of it.

TickPick, LLC is proud to be an equal opportunity employer open to all qualified candidates regardless of race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, marital status, citizenship status, military status, protected veteran status, or any other category protected by law.

Average salary estimate

$117500 / YEARLY (est.)
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$110000K
$125000K

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What You Should Know About Analytics Engineer, TickPick

TickPick is on the lookout for a talented Analytics Engineer to join our innovative team! As a leading ticket marketplace, we've revolutionized the industry by eliminating hidden fees and saving our customers over $180 million in service charges. If you're passionate about data and want to make a meaningful impact in a fast-growing company, this might be the perfect fit. As our Analytics Engineer, you'll dive into data modeling using tools like dbt and create insights that guide our business decisions. With your experience in business intelligence and tools like Looker, you'll help us visualize key metrics, making it easier for stakeholders to understand trends and make informed decisions. Your knack for automating processes will play a critical role in enhancing our accounting and financial operations, allowing us to scale effectively. This is a unique opportunity for someone with generally 3+ years of analytics engineering experience, who has a curious mind and a desire to be part of our ongoing journey towards data-driven innovation. If you're excited about leveraging your skills to help shape a growing marketplace, tickpick.com is the place to be where your contributions truly matter!

Frequently Asked Questions (FAQs) for Analytics Engineer Role at TickPick
What should I know about the Analytics Engineer position at TickPick?

The Analytics Engineer role at TickPick focuses on data modeling, business intelligence, and analytic insights to drive business growth. You’ll develop and refine our data model, build intuitive datasets, create actionable dashboards, and automate finance-related processes.

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What qualifications are required for the Analytics Engineer role at TickPick?

Candidates for the Analytics Engineer position at TickPick should have a BA/BS in a quantitative field and 3+ years of relevant experience. Proficiency with dbt and business intelligence tools like Looker is essential, as well as a strong analytical mindset.

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What technologies should an Analytics Engineer at TickPick be familiar with?

An ideal Analytics Engineer at TickPick should have experience with a modern data stack, specifically Snowflake, dbt, and Looker. Familiarity with programming languages like Python and orchestration tools such as Airflow or Dagster is also beneficial.

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What is the work environment like for the Analytics Engineer at TickPick?

TickPick supports a hybrid work approach, allowing for both in-office and remote work conditions. This promotes a flexible environment where collaboration and communication are key.

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What opportunities for growth exist for the Analytics Engineer at TickPick?

As an Analytics Engineer at TickPick, you’ll have the opportunity to work closely with various departments, enhancing your skills across different business functions and contributing directly to our growth strategy.

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Common Interview Questions for Analytics Engineer
What experience do you have with data modeling and business intelligence?

When answering this question, highlight specific projects where you've built data models or used business intelligence tools. Discuss your process for understanding data requirements and how you've turned data into actionable insights.

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How have you automated reporting or finance-related processes in the past?

Here, share a specific example of a manual finance-related task you've automated. Explain the tools used and the impact of this automation on efficiency and accuracy in the organization.

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Can you describe a time when you used analytics to influence a business decision?

Provide a detailed account of a project where your analytics led to a significant business decision. Emphasize your methodology, the data you analyzed, and the final outcome to showcase your analytical thinking.

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What tools and technologies are you proficient with for data analysis?

Discuss your proficiency with tools like dbt, Looker, and any programming languages such as Python. Include examples of how you have successfully utilized these tools in your previous roles.

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How do you prioritize tasks when working on multiple projects?

Explain your approach to prioritization, considering factors like project deadlines, stakeholder needs, and overall impact on the business. Share examples of how this strategy has worked in practice.

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How do you ensure data quality and accuracy in your work?

Discuss your methods for validating data, such as using automated tests or peer reviews. Share how you have resolved data quality issues in the past and the importance of accuracy in analytics.

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What interests you about working in a marketplace business like TickPick?

Your response should reflect your passion for marketplace dynamics and data's role in optimizing business operations. Discuss specific aspects of TickPick that excite you and how you see your skills contributing to its growth.

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Describe your experience working in a collaborative code-first environment.

Talk about your experience with version control systems, such as Git, and how you communicate and collaborate with team members on coding projects to ensure successful outcomes.

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What strategies do you use for effective data visualization?

Explain your process for creating visualizations, focusing on understanding stakeholder needs and presenting data clearly. Discuss tools you prefer and examples of impactful dashboards you've created.

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How would you analyze large volumes of transactional data?

Describe your analytical approach, including methods and tools you use to identify trends and anomalies within large datasets. Provide a concrete example from your experience that demonstrates your analytical skills.

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Founded in 2011, TickPick is reshaping the secondary event ticket marketplace with its no-fees approach. The company does not charge any fees for buyers, setting it apart from competitive firms that charge steep transaction fees. It also leverages...

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DATE POSTED
April 11, 2025

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