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Über
About You You are someone who sets the bar high for yourself and wants to be a part of a team that does the same. You're not just comfortable with data and AI; you're obsessed with it. You go deep on problems because you want to, not because you have to. You care about building systems with a high standard of quality while recognizing the importance of quickly delivering work to stakeholders. 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 think in systems, not just dashboards, and understand that in an AI‑driven world, clean data models and metadata power products, predictive models, and smarter operations. You believe that making a huge impact is done by tight‑knit teams working hand‑in‑hand toward ambitious goals.
You have deep, proven analytics engineering experience 3–5 years in data analytics, analytics engineering, or BI roles, with demonstrated experience designing, implementing, operating, and extending Kimball dimensional models. Strong SQL skills in BigQuery, Redshift, or Snowflake, and experience optimizing queries for performance at scale.
You are a builder, not just a maintainer You have taken data infrastructure from early‑stage to something genuinely reliable and scalable. You have opinions about how things should be built and execute on those opinions, identifying what needs to exist and building it.
You translate business needs into technical solutions You listen carefully to stakeholders, ask the right questions, and build solutions that actually solve the problem, not just the literal request.
You are fluent with AI tools You are comfortable using AI tools to accelerate coding and documentation while maintaining the expertise and attention to detail needed to audit and correct output.
You have strong BI tool experience You are familiar with BI tools, preferably Looker, and have experience distributing insights via reports and dashboards people actually use. You understand the difference between a dashboard that gets opened once and one that becomes part of how a team operates.
You thrive in a fast‑paced, high‑ownership environment You have operated in a startup or high‑growth environment where priorities shift, resources are finite, and speed matters. You iterate quickly and improve continuously.
Nice to have Experience supporting business subject areas such as marketing, finance, sales, product, or customer success. A strong perspective on the analytics engineering development cycle, data modeling, version control, documentation, testing, and codebase best practices. Experience using AI coding assistants, MCPs, and instruction files to increase velocity while maintaining quality. Familiarity with semantic layer design that supports AI tooling and queries.
About the Role We’re looking for an Analytics Engineer to lead the future of analytics at LineLeap. You will own the development and vision for our data models and architecture, utilising AI tools to move faster and build smarter. You will set the foundation, best practices, and processes for scalable and efficient data operations, collaborating closely with business stakeholders, product, and engineering to make data and analytics a core part of all aspects of the company.
What You’ll Do Own the data model architecture You will design, develop, and maintain data models ensuring our core data entities are structured for BI and as high‑quality context for current and future AI systems. You are the Directly Responsible Individual for the development and execution of core data models and analytics infrastructure.
Drive speed‑to‑insights You will own the modeling of data into usable, scalable formats that enable self‑service analytics for internal and external stakeholders, reducing the time between a business question and a confident answer.
Build and maintain systems that last You will create, define, and maintain architecture and system documentation, ensuring all work meets high standards for style, maintainability, and best practices. You build infrastructure that allows the team to move fast without breaking things.
Enable self‑service analytics across the company You will support a well‑maintained data catalog, training, and resources that allow teams to answer their own questions without always needing to rely on analytics.
Partner with the business to drive outcomes You will build strong relationships with stakeholders across product, marketing, finance, and operations to influence strategy and measure outcomes. You translate business requirements into technical solutions and communicate the meaning of data, not just what it says.
Lead the evolution of descriptive to predictive analytics You will help the analytics team deliver core descriptive analytics to each department and lead future projects in prescriptive and predictive analytics, helping the company understand what will happen and what to do about it.
Leverage AI to move faster and build smarter You will augment your workflow with AI tooling to increase output where possible, using AI coding assistants, automation, and emerging tools not merely as a novelty but as a core part of how you work while maintaining quality and attention to detail.
What Success Looks Like The data foundation is solid and trusted Stakeholders across the company rely on data models that are accurate, fast, and well‑documented. The dbt instance is a source of pride, not anxiety. Data quality issues are caught before they reach dashboards.
Self‑service analytics becomes a reality Teams across LineLeap can answer their own data questions without bottlenecking through analytics. The data catalog is complete and actively used. Training and documentation are in place and effective.
Insights drive decisions, not just reports The work you do translates into real business outcomes, improving product decisions, marketing performance, and financial planning. Stakeholders come to you not just for data but for perspective.
The analytics function scales with the company As LineLeap grows, the data infrastructure you build grows with it. New business lines, product bets, and data sources are onboarded cleanly and quickly. You set an architecture today that handles 10x the data volume tomorrow.
Compensation & Benefits
Base salary of $150,000 to $180,000, depending on experience
Competitive stock option package, depending on experience
401(k) plan with matching
Benefits package including medical, dental, vision, short‑term/long‑term disability, and life insurance
Unlimited PTO
Hybrid work environment
We are based in New York City and generally spend a minimum of 3 days a week in our office in the Flatiron neighborhood. We are/have been flexible with remote work for those who are visiting family and traveling.
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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Sprachkenntnisse
- English
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