Senior Analytics Engineer

3 weeks ago

New York, United States LineLeap Full time
Job DescriptionJob DescriptionAbout LineLeap

LineLeap (YCombinator S19) is building new ways to interact and transact with your favorite bars, clubs, and nightlife venues. Starting in 2017, LineLeap has allowed users to skip the line while providing venues with new revenue that helps grow their businesses even further. Since then, LineLeap has charted as high as #14 in the App Store and expanded to offering in-app cover payment, drink ordering, and event ticketing, along with giving venues powerful marketing and analytics tools so they can bring unforgettable experiences to their customers. LineLeap gives our 1 million+ users a delightful and unique way to interact with their go-to venues, allowing them to get to the fun, faster.

About The Team

We are building a world-class analytics team dedicated to making data-driven decision-making a cornerstone of LineLeap's growth. As a small but high-impact team, we collaborate closely with stakeholders across the company to deliver fast, accurate, and actionable insights that shape strategy and drive results. As we scale, we're looking for team members who bring creativity, collaboration, and forward-thinking vision to help shape and evolve our analytics function.

About You

You are someone who sets the bar high for themselves and wants to be a part of a team that does the same. You have deep empathy for the people around you and those you are building for. You care about building systems with a high standard of quality while understanding the importance of quickly getting work into the hands of stakeholders. You have a passion for learning and teaching because it's not just about where we are today, but how we will grow together for the future. As a self-starter in a small but growing analytics team, you take ownership of projects, turning business needs into impactful analytics driven solutions. You collaborate effectively across departments, delivering high-quality insights while adapting quickly in a fast-paced environment. You believe that making a huge impact is done not by individuals, but by tight-knit teams that work hand-in-hand towards highly ambitious goals.

About The Role

We're looking for our first dedicated Senior Analytics Engineer to lead the future of analytics at LineLeap. As our inaugural hire in this role, you will own the development and vision for our data models and architecture, setting the foundation, best practices, and processes for scalable and efficient data operations. You will collaborate closely with business stakeholders, as well as the product and engineering teams, to make data and analytics a core part of all aspects of LineLeap, enhancing our reporting capabilities and driving impactful results and process improvements.

What You'll Do
  • Design, develop, and maintain data models to support LineLeap's analytics needs across the organization.
  • Own the modeling of data into usable and scalable formats to drive speed-to-insights and self-service analytics, for internal and external stakeholders.
  • Create, define, and maintain architecture and systems documentation, ensuring all work meets high standards for style, maintainability, and best practices.
  • Build strong relationships with stakeholders across the business to influence strategy and measure outcomes.
  • Support and enable self-service analytics with a well-maintained data catalog, training, and resources.
  • Serve as the Directly Responsible Individual for the development and execution of core data models and analytics infrastructure.
  • Help the analytics team deliver core descriptive analytics to each department and lead future projects in prescriptive and predictive analytics.
  • Take our dbt instance from 1 to 100, ensuring great reliability, maintainability, and performance.
What You Need
  • 4-6 years of data analytics, analytics engineering, or BI roles.
  • Proven experience designing, implementing, operating, and extending Kimball dimensional models.
  • Strong knowledge of SQL (preferably BigQuery or Redshift, Snowflake) and query optimization.
  • Familiarity with BI tools (preferably Looker) and experience distributing data insights via reports and dashboards.
  • Ability to thrive in a fast-paced, continuously improving, start-up environment with a culture of solving technical problems iteratively.
  • Ability to understand and translate business requirements into technical solutions.
Nice-to-Haves
  • Demonstrated experience supporting or working in one or more business subject areas: marketing, finance, sales, product, customer success, customer support, engineering, or people.
  • Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development).
How We Hire
  • We start off with a video conversation to get to know each other, answer any questions you might have about the process, and assess an initial potential match.
  • That will be followed up with two video conversations with relevant team members.
  • Depending on how that goes, we will invite you to our office in New York City to spend about 3 hours with several members of our company and executive team that you will work closely with, followed by a team food outing.
Compensation & Benefits
  • Base salary of $137,000 to $180,000, depending on experience
  • Competitive stock option package, depending on experience
  • 401K plan
  • Benefits package including medical, dental, vision, short-term/long-term disability, and life insurance
  • Unlimited PTO
  • Hybrid remote work environment
    • We are based in New York City and generally expect you to be in at least 3 days a week in our office in the Flatiron neighborhood. We have also been flexible with remote work for those who are visiting family and traveling.
    • We are not prioritizing fully remote candidates at this time.
You Do You
  • LineLeap is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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