Posted:
10/17/2024, 11:36:02 AM
Location(s):
Leinster, Ireland ⋅ Dublin, Leinster, Ireland
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
Data & Analytics
Workplace Type:
Hybrid
Pay:
$48/hr or $99,840 total comp
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.
At Intercom, the Finance Analytics teammate partners with Finance, Product, GTM, and Data Engineering teams in order to identify, report and generate insights relating to Intercom’s ARR. We're looking for highly quantitative individuals who are passionate about transforming data into actionable insights and communicating them boldly. We're seeking like-minded people who are constantly curious, eager to deepen their understanding of our business, and committed to driving value.
In this role, you will leverage large datasets and develop expert systems to enhance both our processes and our understanding of business performance. You’ll work closely with Finance leadership and teams to gain business context, brainstorm ideas, and deliver meaningful insights. We’re looking for someone who not only excels in analytics but also proactively surfaces recommendations, manages competing priorities across multiple stakeholders, and works across the analytics and data stack to tackle complex problems.
Here are examples of some projects you might work on:
If you're someone who thrives in a data-driven environment and enjoys uncovering insights that shape business decisions, we would love to hear from you!
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! :)
Policies
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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Website: https://www.intercom.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 501-1000
Year Founded: 2011
IPO Status: Private
Last Funding Type: Venture - Series Unknown
Industries: CRM ⋅ Marketing Automation ⋅ SaaS ⋅ Sales Automation