Senior Analytics Engineer
Skills & Technologies
Benefits
Joblaze summary
The Senior Analytics Engineer at Fin plays a crucial role in developing and managing scalable data platforms, ensuring that analytics needs are met through effective data solutions. Proficiency in advanced SQL and familiarity with the modern data stack, including tools like dbt and Snowflake, are essential for success in this position. This role is well-suited for experienced professionals who possess strong analytical skills and a collaborative mindset, particularly those with a background in data engineering or analytics. Fin's dynamic AI Group emphasizes rapid prototyping and cross-functional teamwork, making it an exciting environment for innovation.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Intercom's career page.
- Intercom has 152 other open roles including Senior Creative Writer , Technical Support Engineer, Senior Deal Desk Manager.
- 2358 active Python roles on Joblaze right now.
- 1036 active SQL roles on Joblaze right now.
- 571 active Salesforce roles on Joblaze right now.
Quick facts
- Is the Senior Analytics Engineer role remote?
- It's hybrid — Intercom expects some on-site time in Dublin, Ireland.
- Where is the role based?
- Intercom is hiring for this position in Dublin, Ireland.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Snowflake, Tableau, Stripe, Salesforce, Google Analytics, dbt.
- What seniority level is this role?
- Intercom targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Analytics Engineer role at Intercom.
From the original posting
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.
Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.
What is the opportunity?
Fin's AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test.
We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.
We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.
What will I be doing?
- Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
- Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
- Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
- Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
- Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
- Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
- Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.
About You
- You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
- You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
- A growth mindset and eagerness to learn.
- 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 practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences
Nice to haves
- Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
- Worked in Tableau, Looker, or similar visualization/business intelligence platform
- Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
- Familiarity with Python
Benefits
- Competitive salary and equity in a fast-growing start-up
- Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
- We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
- Regular compensation reviews - we reward great work!
- Pension scheme & match up to 4%
- Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
- Flexible paid time off policy
- Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
- If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
- MacBooks are our standard, but we also offer Windows for certain roles when needed.
#LI-Hybrid
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.