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Senior Analytics Engineer



Software Engineering, Data Science
San Francisco, CA, USA
Posted on Tuesday, June 25, 2024

Intercom was founded in 2011 to change the standard of customer service online. Our AI-first customer service platform is a totally new way to deliver customer service and is designed to transform the way businesses interact with their customers through AI. We all know that customer service on the internet sucks. It’s slow and impersonal. We help businesses provide instant and exceptional service to their customers and maximize their support agents’ productivity, efficiency, and performance—all through our single AI system. More than 25,000 businesses use Intercom to send millions of messages to millions of customers each month.Intercom has been a long-standing product leader and cultural icon in the technology and startup worlds for more than a decade. We set the pace for our industry and live by our values that allow us to push boundaries, build with speed and intensity, and deliver incredible value to our customers.Join us on our mission to redefine customer service and make internet business personal.

What's the opportunity? 🤔

The Analytics Engineering team provides all parts of Intercom’s business with the right set of accurate and up-to-date data tables that form the basis of all of our most important operational and strategic data-driven decisions.

The team uses their deep knowledge of how GTM and Product teams work to anticipate their data needs. They use their deep technical expertise to design the right data models and reliably turn these models into high-quality core data assets in our data warehouse. The team are experts at driving data model efficiencies and solving data quality issues at their root cause.

This team is the glue between all of our Analyst teams and our Data Infrastructure teams. They speak everyone's language and make everything go faster.If you’re interested in a Senior Analytics Engineer engineering career at Intercom, apply today.

What will I be doing? 🚀

  • Partnering with the data infrastructure engineering team to understand and help evolve and maintain our data warehouse and the ELT that feeds it.
  • Build a best in class data platform to drive critical business decisions
  • Partnering with all of our internal analyst teams to understand the questions they are trying to answer and help them arrive at the right answers.
  • Simplify and improve data collection and reporting processes to automate manual workflows and eliminate manual dependencies
  • Reconcile data issues and alerts between various systems, finding opportunities to innovate and drive improvements

What skills do I need? 📖

  • 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

Bonus skills & attributes 🙌

  • 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 😍

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :)

  • Competitive salary and meaningful equity
  • Catered lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Fully funded comprehensive medical, dental, and vision coverage
  • Open vacation policy and 10 corporate holidays
  • Paid Parental Leave Program
  • 401k plan
  • In-office bicycle storage
  • Fun events for Intercomrades, friends, and family!

The base salary range for candidates within the San Francisco Bay Area is $170,000 - $230,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).


Intercom 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 two days per week.

We have a radically open and accepting culture at Intercom. 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.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom 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.

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