Analytics Engineer

Working at Thoropass

At Thoropass, we are on a mission to transform an industry that’s never been known for innovation, but we aren’t letting that stop us. We love collaborating to come up with new ways to solve problems that would stump other teams, and we have created a workplace where the best idea wins and we bring out the best in each other.

Our team is full of entrepreneurial people with a bias toward action, an insatiable intellectual curiosity, and a desire to learn and grow personally and professionally. By bringing remarkably talented people together, we have the opportunity to create something truly amazing for our customers and our team.

What We Do

Thoropass combines simple software with expert guidance to help SaaS companies manage security compliance, security audits, and enterprise procurement security diligence. Thoropass helps companies adopt stage-appropriate compliance practices that enterprises can trust and reduce the time and costs of security audits by 50% or more.

We are a rapidly expanding team based in New York. We were founded in May 2019 and raised our Series C funding in November 2022. Our top investors include J.P. Morgan, PayPal Ventures, Fin Capital, Centana, and Bain Capital. We're growing customers and revenue dramatically, and we’re poised for continued break-out growth in 2024 and beyond.

Thoropass is looking for our first Analytics Engineer to build out our data function. This function will provide Thoropass with accurate and up-to-date data models to inform our operational and strategic decisions. You are an ideal candidate  if

• You are great at identifying and solving problems. 
• You work independently to define, build, and analyze data and metrics. 
• You like solving complex challenges and delivering measurable impact.

What Your Impact Will Be:

Founding Analytics Engineering Function

• Build a centralized analytics engineering function that partners with individual engineering teams to design, create, and maintain data models that capture key business metrics. 
• Partner with Engineering to write SQL for ETL flows.
• Improve data collection and reporting processes to automate manual workflows and ensure data quality.

Make Data Available to Practitioners

• Drive best-in-class data processes and standards that ensure data is accurate, up-to-date, reliable, and easily accessible to all parts of the organization.
• Partner with the Engineering Infrastructure team to understand, evolve, and maintain our data stack (warehouse, ETL, BI tool, etc.).

Expand Data Culture

• Collaborate with cross-functional stakeholders to understand data needs, identify opportunities for data-driven decision-making, and develop solutions to capitalize on these.
• Partner with data analysts to create analysis, dashboards, and visualizations that uncover valuable insights and drive informed decisions.
• Lead by example with compelling visualizations and data storytelling.

About You

• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs.
• You have a point-of-view on the modern data stack and how to implement a stage-appropriate stack at a scaling start-up.
• You’re comfortable with both working in the trenches writing SQL and with taking a big-picture view while advising senior leadership on data insights.
• More likely to be told “Slow Down” than “Jump in”. 
• Hungry, humble, scrappy, and will thrive in fast-paced environments and manage multiple priorities simultaneously.
• You get a kick out of digging deep into the data, thinking from first principles, and delivering results that move the needle.
• You have a process-oriented mindset and enjoy doing whatever it takes to execute complex projects.
• You want to promote and evangelize a data-driven mentality at the company and are ready to teach those who want to learn.

Qualifications

• 6+ years experience in a analytics engineering, data engineer, or business intelligence role.
• Solid experience with data architecture, data warehousing, and ETL pipelines.
• Deep technical expertise in designing data models in dbt (or other data transformation tools) and implementing them as high-quality core data assets leveraged across the company.

• Experience with at least one BI platform (Tableau, Looker, Sigma, etc.)
• Proficient in writing legible, well-documented, and performant SQL (your code doesn’t just work, it’s optimized for its use case).
• Exceptional verbal & written communication. You’re able to convey complex, technical topics to an array of stakeholders in a digestible and compelling manner. 
• Strong project management skills with experience working with cross-functional teams and influencing stakeholders at all levels of the organization.

Our Data Stack

• Fivetran
• Snowflake
• Sigma
• dbt

Nice to Haves

• Knowledge of AWS ecosystem / CLI
• Familiarity with Python or other modern programming languages and use of libraries like:
• NumPy: for numerical computing
• Pandas: for data manipulation and analysis
• Matplolib: for data visualization
• SciPy: for scientific computing and advanced mathematical functions.
• Familiarity with various business systems (e.g. Salesforce, Hubspot, Heap, Segment, Google Analytics, etc.).
• Experience with data orchestration technologies using DAG frameworks (e.g. Airflow, etc.)

Compensation:

• Competitive base salary
• Exceptional private healthcare
• Equity in a fast-growing company
• Hybrid work-from-home model
• Unlimited PTO
• Home office equipment
• Monthly wellness and home Wi-Fi stipend